Eat your veggies: A chef-prepared, family style school lunch increases vegetable liking and consumption in elementary school students

 

Original reference

Zellner, D. A., & Cobuzzi, J. L. (2017). Eat your veggies: A chef-prepared, family style school lunch increases vegetable liking and consumption in elementary school students. Food Quality and Preference, 55, 8-15. http://dx.doi.org/10.1016/j.foodqual.2016.08.007

Eat¹ your² veggies³: A⁴ chef⁵-prepared⁶, family⁷ style⁸ school⁹ lunch¹⁰ increases¹¹ vegetable¹² liking¹³ and¹⁴ consumption¹⁵ in¹⁶ elementary¹⁷ school¹⁸ students¹⁹

Debra²⁰ A²¹. Zellner²²a, Jennifer²³ L²⁴. Cobuzzi²⁵b
aMontclair²⁶ State²⁷ University²⁸ & Monell²⁹ Chemical³⁰ Senses³¹ Center³², USA³³
bUniversity³⁴ of³⁵ Pennsylvania³⁶, USA³⁷

Abstract³⁸

School³⁹ lunches⁴⁰ provide⁴¹ an⁴² opportunity⁴³ to⁴⁴ introduce⁴⁵ children⁴⁶ to⁴⁷ healthy⁴⁸ foods⁴⁹ in⁵⁰ ways⁵¹ that⁵² might⁵³ result⁵⁴ in⁵⁵ both⁵⁶ short⁵⁷-and⁵⁸ long⁵⁹-term⁶⁰ healthier⁶¹ eating⁶². This⁶³ study⁶⁴ compared⁶⁵ vegetable⁶⁶ consumption⁶⁷ and⁶⁸ liking⁶⁹ for⁷⁰ vegetables⁷¹ in⁷² 8⁷³-10⁷⁴ year⁷⁵ old⁷⁶ children⁷⁷ at⁷⁸ two⁷⁹ schools⁸⁰, one⁸¹ with⁸² a⁸³ traditional⁸⁴ lunch⁸⁵ service⁸⁶ (61⁸⁷– 84⁸⁸ students⁸⁹ in⁹⁰ School⁹¹ B⁹²) and⁹³ the⁹⁴ other⁹⁵ (24⁹⁶– 26⁹⁷ students⁹⁸ in⁹⁹ School¹⁰⁰ A¹⁰¹) which¹⁰² devoted¹⁰³ one¹⁰⁴ day¹⁰⁵ each¹⁰⁶ week¹⁰⁷ to¹⁰⁸ the¹⁰⁹ Eatiquette¹¹⁰ Program¹¹¹ which¹¹² incorporates¹¹³ chef¹¹⁴-prepared¹¹⁵ food¹¹⁶, non¹¹⁷-disposable¹¹⁸ plates¹¹⁹ and¹²⁰ cutlery¹²¹, and¹²² family¹²³ style¹²⁴ service¹²⁵ including¹²⁶ an¹²⁷ adult¹²⁸ at¹²⁹ each¹³⁰ table¹³¹. Consumption¹³² of¹³³ target¹³⁴ vegetables¹³⁵ (cauliflower¹³⁶ and¹³⁷ sweet¹³⁸ potato¹³⁹ “fries¹⁴⁰“) was¹⁴¹ recorded¹⁴² in¹⁴³ the¹⁴⁴ lunchroom¹⁴⁵ at¹⁴⁶ the¹⁴⁷ beginning¹⁴⁸ and¹⁴⁹ end¹⁵⁰ of¹⁵¹ the¹⁵² school¹⁵³ year¹⁵⁴, and¹⁵⁵ a¹⁵⁶ subset¹⁵⁷ of¹⁵⁸ children¹⁵⁹ provided¹⁶⁰ rankings¹⁶¹ and¹⁶² ratings¹⁶³ of¹⁶⁴ liking¹⁶⁵ for¹⁶⁶ those¹⁶⁷ and¹⁶⁸ six¹⁶⁹ other¹⁷⁰ vegetables¹⁷¹ in¹⁷² separate¹⁷³ assessments¹⁷⁴ at¹⁷⁵ those¹⁷⁶ times¹⁷⁷. Consumption¹⁷⁸ of¹⁷⁹ sweet¹⁸⁰ potato¹⁸¹ fries¹⁸² was¹⁸³ higher¹⁸⁴ in¹⁸⁵ children¹⁸⁶ in¹⁸⁷ the¹⁸⁸ Eatiquette¹⁸⁹ lunch¹⁹⁰ than¹⁹¹ in¹⁹² the¹⁹³ children¹⁹⁴ at¹⁹⁵ the¹⁹⁶ control¹⁹⁷ school¹⁹⁸ at¹⁹⁹ the²⁰⁰ beginning²⁰¹ of²⁰² the²⁰³ year²⁰⁴. Although²⁰⁵ initial²⁰⁶ consumption²⁰⁷ of²⁰⁸ the²⁰⁹ cauliflower²¹⁰ was²¹¹ not²¹² significantly²¹³ higher²¹⁴ in²¹⁵ the²¹⁶ Eatiquette²¹⁷ lunch²¹⁸ than²¹⁹ in²²⁰ the²²¹ control²²² school²²³, consumption²²⁴ increased²²⁵ from²²⁶ the²²⁷ beginning²²⁸ to²²⁹ the²³⁰ end²³¹ of²³² the²³³ school²³⁴ year²³⁵ for²³⁶ children²³⁷ eating²³⁸ the²³⁹ Eatiquette²⁴⁰ lunch²⁴¹. In²⁴² addition²⁴³ liking²⁴⁴ for²⁴⁵ and²⁴⁶ ranking²⁴⁷ of²⁴⁸ the²⁴⁹ cauliflower²⁵⁰ increased²⁵¹ from²⁵² the²⁵³ beginning²⁵⁴ to²⁵⁵ the²⁵⁶ end²⁵⁷ of²⁵⁸ the²⁵⁹ year²⁶⁰ for²⁶¹ the²⁶² children²⁶³ in²⁶⁴ the²⁶⁵ Eatiquette²⁶⁶ (n²⁶⁷ = 6²⁶⁸) program²⁶⁹ but²⁷⁰ not²⁷¹ for²⁷² those²⁷³ eating²⁷⁴ the²⁷⁵ traditional²⁷⁶ lunch²⁷⁷ (n²⁷⁸ = 22²⁷⁹). The²⁸⁰ Eatiquette²⁸¹ program²⁸² increased²⁸³ consumption²⁸⁴ of²⁸⁵ and²⁸⁶ liking²⁸⁷ for²⁸⁸ vegetables²⁸⁹. Aspects²⁹⁰ of²⁹¹ the²⁹² Eatiquette²⁹³ program²⁹⁴ including²⁹⁵ food²⁹⁶ palatability²⁹⁷ and²⁹⁸ the²⁹⁹ presence³⁰⁰ of³⁰¹ an³⁰² adult³⁰³ at³⁰⁴ each³⁰⁵ table³⁰⁶ may³⁰⁷ be³⁰⁸ responsible³⁰⁹ for³¹⁰ these³¹¹ increases³¹².

Keywords³¹³: Mere³¹⁴ exposure³¹⁵; Liking³¹⁶; Neophobia³¹⁷; Vegetable³¹⁸; School³¹⁹ lunch³²⁰; Consumption³²¹; Healthy³²² eating³²³

1³²⁴. Introduction³²⁵

Eating³²⁶ fruits³²⁷ and³²⁸ vegetables³²⁹ has³³⁰ been³³¹ found³³² to³³³ help³³⁴ prevent³³⁵ illnesses³³⁶ such³³⁷ as³³⁸ cancer³³⁹ and³⁴⁰ cardiovascular³⁴¹ disease³⁴² (Boeing³⁴³ et³⁴⁴ al³⁴⁵., 2012³⁴⁶ Joshipura³⁴⁷ et³⁴⁸ al³⁴⁹., 1999³⁵⁰ Ness³⁵¹ and³⁵² Powles³⁵³, 1997³⁵⁴ and³⁵⁵ Van³⁵⁶ Duyn³⁵⁷ and³⁵⁸ Pivonka³⁵⁹, 2000³⁶⁰). In³⁶¹ addition³⁶², intake³⁶³ of³⁶⁴ a³⁶⁵ greater³⁶⁶ quantity³⁶⁷ and³⁶⁸ variety³⁶⁹ of³⁷⁰ vegetables³⁷¹ might³⁷² help³⁷³ prevent³⁷⁴ obesity³⁷⁵ (Field³⁷⁶ et³⁷⁷ al³⁷⁸., 2003³⁷⁹ McCrory³⁸⁰ et³⁸¹ al³⁸²., 1999³⁸³ and³⁸⁴ Tohill³⁸⁵ et³⁸⁶ al³⁸⁷., 2004³⁸⁸).
However³⁸⁹, many³⁹⁰ children³⁹¹ do³⁹² not³⁹³ eat³⁹⁴ enough³⁹⁵ vegetables³⁹⁶ because³⁹⁷ they³⁹⁸ reject³⁹⁹ foods⁴⁰⁰ they⁴⁰¹ find⁴⁰² to⁴⁰³ be⁴⁰⁴ unpalatable⁴⁰⁵ (Baxter &⁴⁰⁶ & Thompson⁴⁰⁷, 2002⁴⁰⁸) and⁴⁰⁹ vegetables⁴¹⁰ are⁴¹¹ the⁴¹² least⁴¹³ liked⁴¹⁴ category⁴¹⁵ of⁴¹⁶ food⁴¹⁷ (Cooke⁴¹⁸ & Wardle⁴¹⁹, 2005⁴²⁰). This⁴²¹ is⁴²² at⁴²³ least⁴²⁴ partly⁴²⁵ due⁴²⁶ to⁴²⁷ the⁴²⁸ fact⁴²⁹ that⁴³⁰ vegetables⁴³¹ are⁴³² often⁴³³ bitter⁴³⁴ and⁴³⁵ that⁴³⁶ bitterness⁴³⁷ negatively⁴³⁸ influences⁴³⁹ their⁴⁴⁰ acceptance⁴⁴¹ (Dinehart⁴⁴², Hayes⁴⁴³, Bartoshuk⁴⁴⁴, Lanier⁴⁴⁵, & Duffy⁴⁴⁶, 2006⁴⁴⁷).
Neophobia⁴⁴⁸ might⁴⁴⁹ also⁴⁵⁰ contribute⁴⁵¹ to⁴⁵² low⁴⁵³ consumption⁴⁵⁴ of⁴⁵⁵ and⁴⁵⁶ liking⁴⁵⁷ for⁴⁵⁸ vegetables⁴⁵⁹ (Cooke⁴⁶⁰, 2007⁴⁶¹) due⁴⁶² to⁴⁶³ the⁴⁶⁴ strong⁴⁶⁵ relationship⁴⁶⁶ between⁴⁶⁷ familiarity⁴⁶⁸ and⁴⁶⁹ liking⁴⁷⁰ for⁴⁷¹ foods⁴⁷² (Cooke⁴⁷³ & Wardle⁴⁷⁴, 2005⁴⁷⁵). More⁴⁷⁶ familiar⁴⁷⁷ foods⁴⁷⁸ are⁴⁷⁹ better⁴⁸⁰ liked⁴⁸¹ than⁴⁸² less⁴⁸³ familiar⁴⁸⁴ ones⁴⁸⁵ and⁴⁸⁶ many⁴⁸⁷ vegetables⁴⁸⁸ are⁴⁸⁹ rarely⁴⁹⁰ consumed⁴⁹¹. In⁴⁹² fact⁴⁹³, consumption⁴⁹⁴ of⁴⁹⁵ vegetables⁴⁹⁶ other⁴⁹⁷ than⁴⁹⁸ potatoes⁴⁹⁹, head⁵⁰⁰ lettuce⁵⁰¹, and⁵⁰² tomatoes⁵⁰³ is⁵⁰⁴ very⁵⁰⁵ low⁵⁰⁶ in⁵⁰⁷ the⁵⁰⁸ US⁵⁰⁹ (Kantor⁵¹⁰, 1999⁵¹¹). The⁵¹² increase⁵¹³ in⁵¹⁴ liking⁵¹⁵ with⁵¹⁶ exposure⁵¹⁷ is⁵¹⁸ called⁵¹⁹ the⁵²⁰ “mere⁵²¹ exposure⁵²² effect⁵²³“ and⁵²⁴ has⁵²⁵ been⁵²⁶ found⁵²⁷ with⁵²⁸ a⁵²⁹ variety⁵³⁰ of⁵³¹ stimuli⁵³² (Zajonc⁵³³, 1968⁵³⁴). According⁵³⁵ to⁵³⁶ the⁵³⁷ mere⁵³⁸ exposure⁵³⁹ effect⁵⁴⁰, the⁵⁴¹ more⁵⁴² children⁵⁴³ are⁵⁴⁴ exposed⁵⁴⁵ to⁵⁴⁶ a⁵⁴⁷ variety⁵⁴⁸ of⁵⁴⁹ vegetables⁵⁵⁰, the⁵⁵¹ more⁵⁵² likely⁵⁵³ they⁵⁵⁴ are⁵⁵⁵ to⁵⁵⁶ like⁵⁵⁷ those⁵⁵⁸ vegetables⁵⁵⁹ (Birch⁵⁶⁰ & Marlin⁵⁶¹, 1982⁵⁶²). Since⁵⁶³ exposure⁵⁶⁴ increases⁵⁶⁵ liking⁵⁶⁶ for⁵⁶⁷ foods⁵⁶⁸ including⁵⁶⁹ vegetables⁵⁷⁰ (Anzman⁵⁷¹-Fasca⁵⁷² et⁵⁷³ al⁵⁷⁴., 2012⁵⁷⁵ Cooke⁵⁷⁶, 2007⁵⁷⁷ Hausner⁵⁷⁸ et⁵⁷⁹ al⁵⁸⁰., 2012⁵⁸¹ Mennella⁵⁸² et⁵⁸³ al⁵⁸⁴., 2008⁵⁸⁵ Wardle⁵⁸⁶ et⁵⁸⁷ al⁵⁸⁸., 2003b⁵⁸⁹ and⁵⁹⁰ Wardle⁵⁹¹ et⁵⁹² al⁵⁹³., 2003a⁵⁹⁴) and⁵⁹⁵ liking⁵⁹⁶ increases⁵⁹⁷ consumption⁵⁹⁸ (Baxter⁵⁹⁹ and⁶⁰⁰ Thompson⁶⁰¹, 2002⁶⁰² and⁶⁰³ Birch⁶⁰⁴, 1979⁶⁰⁵), finding⁶⁰⁶ ways⁶⁰⁷ to⁶⁰⁸ repeatedly⁶⁰⁹ expose⁶¹⁰ children⁶¹¹ to⁶¹² vegetables⁶¹³ which⁶¹⁴ they⁶¹⁵ might⁶¹⁶ initially⁶¹⁷ find⁶¹⁸ somewhat⁶¹⁹ unpalatable⁶²⁰ is⁶²¹ crucial⁶²² to⁶²³ increasing⁶²⁴ their⁶²⁵ liking⁶²⁶ and⁶²⁷ consumption⁶²⁸. If⁶²⁹ children⁶³⁰ taste⁶³¹ a⁶³² vegetable⁶³³ for⁶³⁴ the⁶³⁵ first⁶³⁶ time⁶³⁷ and⁶³⁸ the⁶³⁹ sensory⁶⁴⁰ experience⁶⁴¹ is⁶⁴² negative⁶⁴³ it⁶⁴⁴ might⁶⁴⁵ be⁶⁴⁶ difficult⁶⁴⁷ to⁶⁴⁸ increase⁶⁴⁹ exposure⁶⁵⁰ to⁶⁵¹ that⁶⁵² vegetable⁶⁵³ and⁶⁵⁴ increase⁶⁵⁵ liking⁶⁵⁶.
One⁶⁵⁷ place⁶⁵⁸ where⁶⁵⁹ many⁶⁶⁰ children⁶⁶¹ have⁶⁶² the⁶⁶³ opportunity⁶⁶⁴ to⁶⁶⁵ be⁶⁶⁶ exposed⁶⁶⁷ to⁶⁶⁸ a⁶⁶⁹ variety⁶⁷⁰ of⁶⁷¹ vegetables⁶⁷² is⁶⁷³ in⁶⁷⁴ the⁶⁷⁵ school⁶⁷⁶ lunchroom⁶⁷⁷. Many⁶⁷⁸ students⁶⁷⁹ in⁶⁸⁰ the⁶⁸¹ US⁶⁸² consume⁶⁸³ two⁶⁸⁴ meals⁶⁸⁵ a⁶⁸⁶ day⁶⁸⁷ (breakfast⁶⁸⁸ and⁶⁸⁹ lunch⁶⁹⁰) and⁶⁹¹ approximately⁶⁹² a⁶⁹³ third⁶⁹⁴ of⁶⁹⁵ their⁶⁹⁶ daily⁶⁹⁷ calories⁶⁹⁸ at⁶⁹⁹ school⁷⁰⁰ (Briefel⁷⁰¹, Wilson⁷⁰², & Gleason⁷⁰³, 2009⁷⁰⁴). Instituting⁷⁰⁵ changes⁷⁰⁶ to⁷⁰⁷ the⁷⁰⁸ school⁷⁰⁹ lunch⁷¹⁰ to⁷¹¹ increase⁷¹² exposure⁷¹³ to⁷¹⁴ vegetables⁷¹⁵ is⁷¹⁶ therefore⁷¹⁷ a⁷¹⁸ reasonable⁷¹⁹ way⁷²⁰ to⁷²¹ increase⁷²² vegetable⁷²³ consumption⁷²⁴ and⁷²⁵ liking⁷²⁶ in⁷²⁷ children⁷²⁸.
A⁷²⁹ number⁷³⁰ of⁷³¹ studies⁷³² have⁷³³ investigated⁷³⁴ manipulations⁷³⁵ that⁷³⁶ increase⁷³⁷ vegetable⁷³⁸ consumption⁷³⁹ in⁷⁴⁰ lunchrooms⁷⁴¹. These⁷⁴² include⁷⁴³ the⁷⁴⁴ labels⁷⁴⁵ given⁷⁴⁶ to⁷⁴⁷ vegetables⁷⁴⁸ (e.g.⁷⁴⁹, Special⁷⁵⁰ Mix⁷⁵¹ for⁷⁵² Superheroes⁷⁵³– Morizet⁷⁵⁴, Depezay⁷⁵⁵, Combris⁷⁵⁶, Picard⁷⁵⁷, & Giboreau⁷⁵⁸, 2012⁷⁵⁹; X⁷⁶⁰-ray⁷⁶¹ Vision⁷⁶² Carrots⁷⁶³– Wansink⁷⁶⁴, Just⁷⁶⁵, Payne⁷⁶⁶, & Klinger⁷⁶⁷, 2012⁷⁶⁸), reinforcement⁷⁶⁹ (Hendy⁷⁷⁰, Williams⁷⁷¹, & Camise⁷⁷², 2005⁷⁷³), school⁷⁷⁴ gardens⁷⁷⁵ (McAleese⁷⁷⁶ and⁷⁷⁷ Rankin⁷⁷⁸, 2007⁷⁷⁹ and⁷⁸⁰ Parmer⁷⁸¹ et⁷⁸² al⁷⁸³., 2009⁷⁸⁴), increase⁷⁸⁵ in⁷⁸⁶ vegetable⁷⁸⁷ portion⁷⁸⁸ size⁷⁸⁹ (Miller⁷⁹⁰ et⁷⁹¹ al⁷⁹²., 2015⁷⁹³), and⁷⁹⁴ forcing⁷⁹⁵ students⁷⁹⁶ to⁷⁹⁷ choose⁷⁹⁸ vegetables⁷⁹⁹ from⁸⁰⁰ a⁸⁰¹ few⁸⁰² options⁸⁰³ rather⁸⁰⁴ than⁸⁰⁵ simply⁸⁰⁶ being⁸⁰⁷ given⁸⁰⁸ one⁸⁰⁹ particular⁸¹⁰ vegetable⁸¹¹ (Hakim⁸¹² & Meissen⁸¹³, 2013⁸¹⁴). These⁸¹⁵ have⁸¹⁶ all⁸¹⁷ been⁸¹⁸ found⁸¹⁹ to⁸²⁰ increase⁸²¹ vegetable⁸²² consumption⁸²³ and/⁸²⁴/ or⁸²⁵ selection⁸²⁶.
One⁸²⁷ manipulation⁸²⁸ that⁸²⁹ has⁸³⁰ been⁸³¹ found⁸³² to⁸³³ increase⁸³⁴ vegetable⁸³⁵ selection⁸³⁶ and⁸³⁷ consumption⁸³⁸ is⁸³⁹ having⁸⁴⁰ a⁸⁴¹ trained⁸⁴² chef⁸⁴³ in⁸⁴⁴ charge⁸⁴⁵ of⁸⁴⁶ the⁸⁴⁷ school⁸⁴⁸ lunch⁸⁴⁹ (Cohen⁸⁵⁰ et⁸⁵¹ al⁸⁵²., 2012⁸⁵³ and⁸⁵⁴ Cohen⁸⁵⁵ et⁸⁵⁶ al⁸⁵⁷., 2015⁸⁵⁸). In⁸⁵⁹ these⁸⁶⁰ studies⁸⁶¹, increased⁸⁶² selection⁸⁶³ and⁸⁶⁴ consumption⁸⁶⁵ of⁸⁶⁶ vegetables⁸⁶⁷ were⁸⁶⁸ seen⁸⁶⁹, both⁸⁷⁰ versus⁸⁷¹ baseline⁸⁷² (Cohen⁸⁷³ et⁸⁷⁴ al⁸⁷⁵., 2015⁸⁷⁶) and⁸⁷⁷ versus⁸⁷⁸ non⁸⁷⁹-chef⁸⁸⁰-involved⁸⁸¹ control⁸⁸² schools⁸⁸³ (Cohen⁸⁸⁴ et⁸⁸⁵ al⁸⁸⁶., 2012⁸⁸⁷), which⁸⁸⁸ suggests⁸⁸⁹ that⁸⁹⁰ the⁸⁹¹ vegetables⁸⁹² were⁸⁹³ immediately⁸⁹⁴ more⁸⁹⁵ palatable⁸⁹⁶ in⁸⁹⁷ the⁸⁹⁸ chef⁸⁹⁹-involved⁹⁰⁰ schools⁹⁰¹ than⁹⁰² in⁹⁰³ schools⁹⁰⁴ without⁹⁰⁵ chef⁹⁰⁶ involvement⁹⁰⁷.
In⁹⁰⁸ one⁹⁰⁹ chef⁹¹⁰-involved⁹¹¹ study⁹¹², Cohen⁹¹³ et⁹¹⁴ al⁹¹⁵. (2015⁹¹⁶) investigated⁹¹⁷ the⁹¹⁸ change⁹¹⁹ in⁹²⁰ vegetable⁹²¹ selection⁹²² and⁹²³ consumption⁹²⁴ over⁹²⁵ the⁹²⁶ course⁹²⁷ of⁹²⁸ seven⁹²⁹ months⁹³⁰ of⁹³¹ exposure⁹³² to⁹³³ chef⁹³⁴-involved⁹³⁵ meals⁹³⁶. The⁹³⁷ increase⁹³⁸ seen⁹³⁹ in⁹⁴⁰ both⁹⁴¹ measures⁹⁴² over⁹⁴³ the⁹⁴⁴ course⁹⁴⁵ of⁹⁴⁶ the⁹⁴⁷ school⁹⁴⁸ year⁹⁴⁹ (approximately⁹⁵⁰ 0,43⁹⁵¹ increase⁹⁵² in⁹⁵³ selection⁹⁵⁴ and⁹⁵⁵ 0,24⁹⁵⁶ increase⁹⁵⁷ in⁹⁵⁸ consumption⁹⁵⁹) might⁹⁶⁰ reflect⁹⁶¹ a⁹⁶² change⁹⁶³ in⁹⁶⁴ liking⁹⁶⁵ for⁹⁶⁶ the⁹⁶⁷ taste⁹⁶⁸ of⁹⁶⁹ the⁹⁷⁰ vegetables⁹⁷¹ due⁹⁷² to⁹⁷³ repeated⁹⁷⁴ exposure⁹⁷⁵ (i.e.⁹⁷⁶, the⁹⁷⁷ mere⁹⁷⁸ exposure⁹⁷⁹ effect⁹⁸⁰). An⁹⁸¹ increase⁹⁸² in⁹⁸³ liking⁹⁸⁴ of⁹⁸⁵ vegetables⁹⁸⁶ due⁹⁸⁷ to⁹⁸⁸ exposure⁹⁸⁹ might⁹⁹⁰ translate⁹⁹¹ into⁹⁹² a⁹⁹³ longer⁹⁹⁴-lasting⁹⁹⁵ increase⁹⁹⁶ in⁹⁹⁷ vegetable⁹⁹⁸ consumption⁹⁹⁹ since¹⁰⁰⁰ children¹⁰⁰¹ eat¹⁰⁰² what¹⁰⁰³ they¹⁰⁰⁴ like¹⁰⁰⁵ (Baxter¹⁰⁰⁶ & Thompson¹⁰⁰⁷, 2002¹⁰⁰⁸).
A¹⁰⁰⁹ shift¹⁰¹⁰ in¹⁰¹¹ liking¹⁰¹² seems¹⁰¹³ a¹⁰¹⁴ probable¹⁰¹⁵ source¹⁰¹⁶ of¹⁰¹⁷ the¹⁰¹⁸ increased¹⁰¹⁹ selection¹⁰²⁰ and¹⁰²¹ consumption¹⁰²² of¹⁰²³ vegetables¹⁰²⁴ seen¹⁰²⁵ in¹⁰²⁶ Cohen¹⁰²⁷ et¹⁰²⁸ al¹⁰²⁹. (2012¹⁰³⁰) and¹⁰³¹ Cohen¹⁰³² et¹⁰³³ al¹⁰³⁴. (2015¹⁰³⁵). But¹⁰³⁶ neither¹⁰³⁷ study¹⁰³⁸ measured¹⁰³⁹ children’s¹⁰⁴⁰ initial¹⁰⁴¹ liking¹⁰⁴² for¹⁰⁴³ the¹⁰⁴⁴ taste¹⁰⁴⁵ of¹⁰⁴⁶ the¹⁰⁴⁷ vegetables¹⁰⁴⁸ or¹⁰⁴⁹ any¹⁰⁵⁰ growth¹⁰⁵¹ in¹⁰⁵² liking¹⁰⁵³ in¹⁰⁵⁴ the¹⁰⁵⁵ chef¹⁰⁵⁶-involved¹⁰⁵⁷ schools¹⁰⁵⁸. If¹⁰⁵⁹ the¹⁰⁶⁰ vegetables¹⁰⁶¹ in¹⁰⁶² the¹⁰⁶³ chef¹⁰⁶⁴-involved¹⁰⁶⁵ schools¹⁰⁶⁶ are¹⁰⁶⁷ initially¹⁰⁶⁸ more¹⁰⁶⁹ palatable¹⁰⁷⁰, that¹⁰⁷¹ might¹⁰⁷² not¹⁰⁷³ only¹⁰⁷⁴ increase¹⁰⁷⁵ initial¹⁰⁷⁶ consumption¹⁰⁷⁷ and¹⁰⁷⁸ liking¹⁰⁷⁹ of¹⁰⁸⁰ those¹⁰⁸¹ vegetables¹⁰⁸², but¹⁰⁸³ might¹⁰⁸⁴ also¹⁰⁸⁵ make¹⁰⁸⁶ repeated¹⁰⁸⁷ consumption¹⁰⁸⁸ more¹⁰⁸⁹ likely¹⁰⁹⁰. That¹⁰⁹¹, in¹⁰⁹² turn¹⁰⁹³, would¹⁰⁹⁴ increase¹⁰⁹⁵ the¹⁰⁹⁶ chances¹⁰⁹⁷ that¹⁰⁹⁸ an¹⁰⁹⁹ increase¹¹⁰⁰ in¹¹⁰¹ liking¹¹⁰² due¹¹⁰³ to¹¹⁰⁴ mere¹¹⁰⁵ exposure¹¹⁰⁶ would¹¹⁰⁷ occur¹¹⁰⁸ (see¹¹⁰⁹ Liem¹¹¹⁰ & de¹¹¹¹ Graaf¹¹¹², 2004¹¹¹³). This¹¹¹⁴ study¹¹¹⁵ investigates¹¹¹⁶ the¹¹¹⁷ effect¹¹¹⁸ of¹¹¹⁹ a¹¹²⁰ chef¹¹²¹-involved¹¹²² school¹¹²³ lunch¹¹²⁴ program¹¹²⁵ (Eatiquette¹¹²⁶ program¹¹²⁷– http¹¹²⁸://www¹¹²⁹.vetricommunity¹¹³⁰.org¹¹³¹/what¹¹³²-we¹¹³³-do¹¹³⁴/eatiquette¹¹³⁵/) on¹¹³⁶ liking¹¹³⁷ for¹¹³⁸ and¹¹³⁹ consumption¹¹⁴⁰ of¹¹⁴¹ vegetables¹¹⁴² in¹¹⁴³ both¹¹⁴⁴ the¹¹⁴⁵ short¹¹⁴⁶-term¹¹⁴⁷ and¹¹⁴⁸ over¹¹⁴⁹ the¹¹⁵⁰ course¹¹⁵¹ of¹¹⁵² a¹¹⁵³ school¹¹⁵⁴ year¹¹⁵⁵. The¹¹⁵⁶ program¹¹⁵⁷ is¹¹⁵⁸ run¹¹⁵⁹ by¹¹⁶⁰ a¹¹⁶¹ chef’s¹¹⁶² (Marc¹¹⁶³ Vetri¹¹⁶⁴) non¹¹⁶⁵-profit¹¹⁶⁶ foundation¹¹⁶⁷. The¹¹⁶⁸ food¹¹⁶⁹ served¹¹⁷⁰ is¹¹⁷¹ prepared¹¹⁷² by¹¹⁷³ chefs¹¹⁷⁴ at¹¹⁷⁵ the¹¹⁷⁶ schools¹¹⁷⁷ according¹¹⁷⁸ to¹¹⁷⁹ recipes¹¹⁸⁰ produced¹¹⁸¹ by¹¹⁸² chefs¹¹⁸³ at¹¹⁸⁴ the¹¹⁸⁵ foundation¹¹⁸⁶ using¹¹⁸⁷ fresh¹¹⁸⁸ foods¹¹⁸⁹ and¹¹⁹⁰ from¹¹⁹¹-scratch¹¹⁹² cooking¹¹⁹³. The¹¹⁹⁴ lunch¹¹⁹⁵ differs¹¹⁹⁶ from¹¹⁹⁷ a¹¹⁹⁸ more¹¹⁹⁹ traditional¹²⁰⁰ lunch¹²⁰¹ in¹²⁰² that¹²⁰³, among¹²⁰⁴ other¹²⁰⁵ things¹²⁰⁶, the¹²⁰⁷ food¹²⁰⁸ is¹²⁰⁹ served¹²¹⁰ family¹²¹¹ style¹²¹² at¹²¹³ round¹²¹⁴ tables¹²¹⁵, which¹²¹⁶ include¹²¹⁷ an¹²¹⁸ adult¹²¹⁹. Food¹²²⁰ is¹²²¹ served¹²²² by¹²²³ the¹²²⁴ children¹²²⁵ and¹²²⁶ non¹²²⁷-disposable¹²²⁸ plates¹²²⁹, utensils¹²³⁰, glasses¹²³¹, and¹²³² serving¹²³³ dishes¹²³⁴ are¹²³⁵ used¹²³⁶ for¹²³⁷ the¹²³⁸ meal¹²³⁹.
In¹²⁴⁰ the¹²⁴¹ present¹²⁴² study¹²⁴³ consumption¹²⁴⁴ of¹²⁴⁵, liking¹²⁴⁶ for¹²⁴⁷, and¹²⁴⁸ ability¹²⁴⁹ to¹²⁵⁰ identify¹²⁵¹ vegetables¹²⁵² were¹²⁵³ measured¹²⁵⁴ at¹²⁵⁵ a¹²⁵⁶ school¹²⁵⁷ using¹²⁵⁸ the¹²⁵⁹ Eatiquette¹²⁶⁰ program¹²⁶¹ and¹²⁶² another¹²⁶³ school¹²⁶⁴ using¹²⁶⁵ a¹²⁶⁶ more¹²⁶⁷ traditional¹²⁶⁸ school¹²⁶⁹ lunch¹²⁷⁰ service¹²⁷¹ at¹²⁷² both¹²⁷³ the¹²⁷⁴ beginning¹²⁷⁵ and¹²⁷⁶ end¹²⁷⁷ of¹²⁷⁸ the¹²⁷⁹ school¹²⁸⁰ year¹²⁸¹. Target¹²⁸² vegetable¹²⁸³ measures¹²⁸⁴ were¹²⁸⁵ compared¹²⁸⁶ between¹²⁸⁷ the¹²⁸⁸ schools¹²⁸⁹ at¹²⁹⁰ both¹²⁹¹ times¹²⁹² and¹²⁹³ were¹²⁹⁴ also¹²⁹⁵ compared¹²⁹⁶ within¹²⁹⁷ the¹²⁹⁸ schools¹²⁹⁹ from¹³⁰⁰ the¹³⁰¹ beginning¹³⁰² to¹³⁰³ the¹³⁰⁴ end¹³⁰⁵ of¹³⁰⁶ the¹³⁰⁷ year¹³⁰⁸ to¹³⁰⁹ see¹³¹⁰ if¹³¹¹ there¹³¹² was¹³¹³ an¹³¹⁴ increase¹³¹⁵ in¹³¹⁶ consumption¹³¹⁷ and¹³¹⁸ liking¹³¹⁹ due¹³²⁰ to¹³²¹ repeated¹³²² exposure¹³²³.

2¹³²⁴. Method¹³²⁵

The¹³²⁶ current¹³²⁷ study¹³²⁸ included¹³²⁹ a¹³³⁰ preliminary¹³³¹ assessment¹³³² of¹³³³ equivalency¹³³⁴ of¹³³⁵ vegetable¹³³⁶ consumption¹³³⁷ and¹³³⁸ two¹³³⁹ main¹³⁴⁰ methods¹³⁴¹ of¹³⁴² data¹³⁴³ collection¹³⁴⁴ in¹³⁴⁵ the¹³⁴⁶ two¹³⁴⁷ different¹³⁴⁸ schools¹³⁴⁹. See¹³⁵⁰ Table¹³⁵¹ 1¹³⁵². One¹³⁵³ was¹³⁵⁴ a¹³⁵⁵ lunchroom¹³⁵⁶ observation¹³⁵⁷, where¹³⁵⁸ the¹³⁵⁹ amount¹³⁶⁰ of¹³⁶¹ target¹³⁶² vegetables¹³⁶³ consumed¹³⁶⁴ by¹³⁶⁵ individual¹³⁶⁶ children¹³⁶⁷ was¹³⁶⁸ observed¹³⁶⁹ and¹³⁷⁰ recorded¹³⁷¹. The¹³⁷² second¹³⁷³ method¹³⁷⁴, individual¹³⁷⁵ interviews¹³⁷⁶, assessed¹³⁷⁷ children’s¹³⁷⁸ knowledge¹³⁷⁹ of¹³⁸⁰, and¹³⁸¹ liking¹³⁸² and¹³⁸³ ranking¹³⁸⁴ of¹³⁸⁵ eight¹³⁸⁶ common¹³⁸⁷ vegetables¹³⁸⁸, including¹³⁸⁹ the¹³⁹⁰ target¹³⁹¹ vegetables¹³⁹² observed¹³⁹³ in¹³⁹⁴ the¹³⁹⁵ lunchrooms¹³⁹⁶.

Table¹³⁹⁷ 1¹³⁹⁸
Design¹³⁹⁹ of¹⁴⁰⁰ experiment¹⁴⁰¹. Children¹⁴⁰² in¹⁴⁰³ two¹⁴⁰⁴ schools¹⁴⁰⁵ were¹⁴⁰⁶ observed¹⁴⁰⁷ in¹⁴⁰⁸ the¹⁴⁰⁹ lunchroom¹⁴¹⁰ and¹⁴¹¹ interviewed¹⁴¹² individually¹⁴¹³ at¹⁴¹⁴ both¹⁴¹⁵ the¹⁴¹⁶ beginning¹⁴¹⁷ and¹⁴¹⁸ end¹⁴¹⁹ of¹⁴²⁰ the¹⁴²¹ school¹⁴²² year¹⁴²³.

Beginning¹⁴²⁴ of¹⁴²⁵ school¹⁴²⁶ year¹⁴²⁷End¹⁴²⁸ of¹⁴²⁹ school¹⁴³⁰ year¹⁴³¹
Lunchroom¹⁴³² observation¹⁴³³ of¹⁴³⁴ vegetable¹⁴³⁵ consumption¹⁴³⁶Individual¹⁴³⁷ student¹⁴³⁸ interviews¹⁴³⁹ (subgroup¹⁴⁴⁰ of¹⁴⁴¹ students¹⁴⁴²)Lunchroom¹⁴⁴³ observation¹⁴⁴⁴ of¹⁴⁴⁵ vegetable¹⁴⁴⁶ consumption¹⁴⁴⁷Individual¹⁴⁴⁸ student¹⁴⁴⁹ interviews¹⁴⁵⁰ (subgroup¹⁴⁵¹ of¹⁴⁵² students¹⁴⁵³)
School¹⁴⁵⁴ A¹⁴⁵⁵ (Eatiquette¹⁴⁵⁶)Sweet¹⁴⁵⁷ potato¹⁴⁵⁸ fries¹⁴⁵⁹ (n¹⁴⁶⁰ = 24¹⁴⁶¹)
Cauliflower¹⁴⁶² (n¹⁴⁶³ = 26¹⁴⁶⁴)
Rating¹⁴⁶⁵ & ranking¹⁴⁶⁶ of¹⁴⁶⁷ 8¹⁴⁶⁸ vegetables¹⁴⁶⁹ (n¹⁴⁷⁰ = 6¹⁴⁷¹)Sweet¹⁴⁷² potato¹⁴⁷³ fries¹⁴⁷⁴ (n¹⁴⁷⁵ = 26¹⁴⁷⁶)
Cauliflower¹⁴⁷⁷ (n¹⁴⁷⁸ = 26¹⁴⁷⁹)
Rating¹⁴⁸⁰ & ranking¹⁴⁸¹ of¹⁴⁸² 8¹⁴⁸³ vegetables¹⁴⁸⁴ (n¹⁴⁸⁵ = 6¹⁴⁸⁶)
School¹⁴⁸⁷ B¹⁴⁸⁸ (Traditional¹⁴⁸⁹)Sweet¹⁴⁹⁰ potato¹⁴⁹¹ fries¹⁴⁹² (n¹⁴⁹³ = 72¹⁴⁹⁴)
Cauliflower¹⁴⁹⁵ (n¹⁴⁹⁶ = 84¹⁴⁹⁷)
Rating¹⁴⁹⁸ & ranking¹⁴⁹⁹ of¹⁵⁰⁰ 8¹⁵⁰¹ vegetables¹⁵⁰² (n¹⁵⁰³ = 22¹⁵⁰⁴)Sweet¹⁵⁰⁵ potato¹⁵⁰⁶ fries¹⁵⁰⁷ (n¹⁵⁰⁸ = 61¹⁵⁰⁹)
------a
Rating¹⁵¹⁰ & ranking¹⁵¹¹ of¹⁵¹² 8¹⁵¹³ vegetables¹⁵¹⁴ (n¹⁵¹⁵ = 22¹⁵¹⁶)

aCauliflower¹⁵¹⁷ was¹⁵¹⁸ not¹⁵¹⁹ observed¹⁵²⁰ in¹⁵²¹ School¹⁵²² B¹⁵²³ at¹⁵²⁴ the¹⁵²⁵ end¹⁵²⁶ of¹⁵²⁷ the¹⁵²⁸ school¹⁵²⁹ year¹⁵³⁰.

This¹⁵³¹ study¹⁵³² was¹⁵³³ approved¹⁵³⁴ by¹⁵³⁵ the¹⁵³⁶ Montclair¹⁵³⁷ State¹⁵³⁸ University¹⁵³⁹ Institutional¹⁵⁴⁰ Review¹⁵⁴¹ Board¹⁵⁴².

2.1.¹⁵⁴³. ¹⁵⁴⁴. Subjects¹⁵⁴⁵

The¹⁵⁴⁶ subjects¹⁵⁴⁷ were¹⁵⁴⁸ 3rd¹⁵⁴⁹ and¹⁵⁵⁰ 4th¹⁵⁵¹ grade¹⁵⁵² students¹⁵⁵³ (8¹⁵⁵⁴– 10¹⁵⁵⁵ years¹⁵⁵⁶ of¹⁵⁵⁷ age¹⁵⁵⁸) attending¹⁵⁵⁹ two¹⁵⁶⁰ urban¹⁵⁶¹ schools¹⁵⁶² in¹⁵⁶³ Philadelphia¹⁵⁶⁴, PA¹⁵⁶⁵, USA¹⁵⁶⁶. The¹⁵⁶⁷ preponderance¹⁵⁶⁸ of¹⁵⁶⁹ students¹⁵⁷⁰ in¹⁵⁷¹ both¹⁵⁷² schools¹⁵⁷³ were¹⁵⁷⁴ African¹⁵⁷⁵-American¹⁵⁷⁶ (in¹⁵⁷⁷ one¹⁵⁷⁸ school¹⁵⁷⁹ there¹⁵⁸⁰ were¹⁵⁸¹ 2¹⁵⁸² Caucasian¹⁵⁸³ students¹⁵⁸⁴) and¹⁵⁸⁵ of¹⁵⁸⁶ low¹⁵⁸⁷ socioeconomic¹⁵⁸⁸ status¹⁵⁸⁹. This¹⁵⁹⁰ population¹⁵⁹¹ has¹⁵⁹² been¹⁵⁹³ found¹⁵⁹⁴ to¹⁵⁹⁵ have¹⁵⁹⁶ higher¹⁵⁹⁷ rates¹⁵⁹⁸ of¹⁵⁹⁹ obesity¹⁶⁰⁰ and¹⁶⁰¹ diabetes¹⁶⁰² than¹⁶⁰³ the¹⁶⁰⁴ US¹⁶⁰⁵ population¹⁶⁰⁶ as¹⁶⁰⁷ a¹⁶⁰⁸ whole¹⁶⁰⁹ (Ogden¹⁶¹⁰, Carroll¹⁶¹¹, Kit¹⁶¹², & Flegal¹⁶¹³, 2014¹⁶¹⁴). All¹⁶¹⁵ students¹⁶¹⁶ in¹⁶¹⁷ both¹⁶¹⁸ schools¹⁶¹⁹ qualified¹⁶²⁰ for¹⁶²¹ a¹⁶²² government¹⁶²³ subsidized¹⁶²⁴ free¹⁶²⁵ school¹⁶²⁶ lunch¹⁶²⁷.

2.2.¹⁶²⁸. ¹⁶²⁹. School¹⁶³⁰ lunchroom¹⁶³¹ descriptions¹⁶³²

In¹⁶³³ School¹⁶³⁴ A¹⁶³⁵, the¹⁶³⁶ food¹⁶³⁷ in¹⁶³⁸ the¹⁶³⁹ Eatiquette¹⁶⁴⁰ meals¹⁶⁴¹, served¹⁶⁴² one¹⁶⁴³ day¹⁶⁴⁴ per¹⁶⁴⁵ week¹⁶⁴⁶, was¹⁶⁴⁷ made¹⁶⁴⁸ from¹⁶⁴⁹ scratch¹⁶⁵⁰ with¹⁶⁵¹ fresh¹⁶⁵² ingredients¹⁶⁵³. The¹⁶⁵⁴ day’s¹⁶⁵⁵ menu¹⁶⁵⁶ was¹⁶⁵⁷ placed¹⁶⁵⁸ on¹⁶⁵⁹ each¹⁶⁶⁰ table¹⁶⁶¹ so¹⁶⁶² that¹⁶⁶³ the¹⁶⁶⁴ children¹⁶⁶⁵ knew¹⁶⁶⁶ what¹⁶⁶⁷ food¹⁶⁶⁸ they¹⁶⁶⁹ would¹⁶⁷⁰ be¹⁶⁷¹ served¹⁶⁷² that¹⁶⁷³ day¹⁶⁷⁴. In¹⁶⁷⁵ addition¹⁶⁷⁶, prior¹⁶⁷⁷ to¹⁶⁷⁸ the¹⁶⁷⁹ meal¹⁶⁸⁰ being¹⁶⁸¹ served¹⁶⁸², the¹⁶⁸³ chef¹⁶⁸⁴ came¹⁶⁸⁵ into¹⁶⁸⁶ the¹⁶⁸⁷ lunchroom¹⁶⁸⁸ and¹⁶⁸⁹ explained¹⁶⁹⁰ the¹⁶⁹¹ meal¹⁶⁹² and¹⁶⁹³ how¹⁶⁹⁴ it¹⁶⁹⁵ was¹⁶⁹⁶ prepared¹⁶⁹⁷, so¹⁶⁹⁸ that¹⁶⁹⁹ the¹⁷⁰⁰ children¹⁷⁰¹ were¹⁷⁰² aware¹⁷⁰³ of¹⁷⁰⁴ what¹⁷⁰⁵ they¹⁷⁰⁶ would¹⁷⁰⁷ be¹⁷⁰⁸ eating¹⁷⁰⁹.
The¹⁷¹⁰ Eatiquette¹⁷¹¹ lunch¹⁷¹² used¹⁷¹³ family¹⁷¹⁴ style¹⁷¹⁵ service¹⁷¹⁶, with¹⁷¹⁷ children¹⁷¹⁸ seated¹⁷¹⁹ at¹⁷²⁰ round¹⁷²¹ tables¹⁷²² seating¹⁷²³ 4–5¹⁷²⁴ people¹⁷²⁵ including¹⁷²⁶ an¹⁷²⁷ adult¹⁷²⁸. Children¹⁷²⁹ were¹⁷³⁰ assigned¹⁷³¹ to¹⁷³² a¹⁷³³ table¹⁷³⁴. Based¹⁷³⁵ on¹⁷³⁶ prior¹⁷³⁷ assignment¹⁷³⁸, one¹⁷³⁹ child¹⁷⁴⁰ served¹⁷⁴¹ as¹⁷⁴² the¹⁷⁴³ table¹⁷⁴⁴ captain¹⁷⁴⁵ for¹⁷⁴⁶ that¹⁷⁴⁷ table¹⁷⁴⁸. Table¹⁷⁴⁹ captains¹⁷⁵⁰ arrived¹⁷⁵¹ before¹⁷⁵² the¹⁷⁵³ other¹⁷⁵⁴ children¹⁷⁵⁵ donning¹⁷⁵⁶ a¹⁷⁵⁷ chef¹⁷⁵⁸-coat¹⁷⁵⁹ appropriate¹⁷⁶⁰ for¹⁷⁶¹ their¹⁷⁶² sizes¹⁷⁶³ and¹⁷⁶⁴ were¹⁷⁶⁵ responsible¹⁷⁶⁶ for¹⁷⁶⁷ setting¹⁷⁶⁸ the¹⁷⁶⁹ table¹⁷⁷⁰, including¹⁷⁷¹ pouring¹⁷⁷² the¹⁷⁷³ water¹⁷⁷⁴ into¹⁷⁷⁵ the¹⁷⁷⁶ glasses¹⁷⁷⁷. Non¹⁷⁷⁸-disposable¹⁷⁷⁹ plates¹⁷⁸⁰, glasses¹⁷⁸¹ and¹⁷⁸² cutlery¹⁷⁸³ were¹⁷⁸⁴ used¹⁷⁸⁵. Once¹⁷⁸⁶ the¹⁷⁸⁷ other¹⁷⁸⁸ children¹⁷⁸⁹ arrived¹⁷⁹⁰, the¹⁷⁹¹ table¹⁷⁹² captain¹⁷⁹³ brought¹⁷⁹⁴ the¹⁷⁹⁵ food¹⁷⁹⁶ to¹⁷⁹⁷ the¹⁷⁹⁸ table¹⁷⁹⁹. The¹⁸⁰⁰ table¹⁸⁰¹ captains¹⁸⁰² served¹⁸⁰³ the¹⁸⁰⁴ food¹⁸⁰⁵ to¹⁸⁰⁶ each¹⁸⁰⁷ person¹⁸⁰⁸ at¹⁸⁰⁹ their¹⁸¹⁰ tables¹⁸¹¹ (often¹⁸¹² with¹⁸¹³ the¹⁸¹⁴ assistance¹⁸¹⁵ of¹⁸¹⁶ an¹⁸¹⁷ adult¹⁸¹⁸ seated¹⁸¹⁹ at¹⁸²⁰ each¹⁸²¹ table¹⁸²²) and¹⁸²³ then¹⁸²⁴ sat¹⁸²⁵ down¹⁸²⁶ to¹⁸²⁷ eat¹⁸²⁸ with¹⁸²⁹ their¹⁸³⁰ tablemates¹⁸³¹. After¹⁸³² the¹⁸³³ main¹⁸³⁴ course¹⁸³⁵ was¹⁸³⁶ eaten¹⁸³⁷ the¹⁸³⁸ table¹⁸³⁹ captain¹⁸⁴⁰ served¹⁸⁴¹ the¹⁸⁴² dessert¹⁸⁴³ course¹⁸⁴⁴, which¹⁸⁴⁵ consisted¹⁸⁴⁶ of¹⁸⁴⁷ a¹⁸⁴⁸ fruit¹⁸⁴⁹ preparation¹⁸⁵⁰. Although¹⁸⁵¹ the¹⁸⁵² 4th¹⁸⁵³ graders¹⁸⁵⁴ ate¹⁸⁵⁵ lunch¹⁸⁵⁶ with¹⁸⁵⁷ the¹⁸⁵⁸ 5th¹⁸⁵⁹ graders¹⁸⁶⁰ and¹⁸⁶¹ the¹⁸⁶² 3rd¹⁸⁶³ graders¹⁸⁶⁴ ate¹⁸⁶⁵ with¹⁸⁶⁶ the¹⁸⁶⁷ 2nd¹⁸⁶⁸ graders¹⁸⁶⁹, any¹⁸⁷⁰ one¹⁸⁷¹ table¹⁸⁷² had¹⁸⁷³ students¹⁸⁷⁴ from¹⁸⁷⁵ the¹⁸⁷⁶ same¹⁸⁷⁷ grade¹⁸⁷⁸ (with¹⁸⁷⁹ the¹⁸⁸⁰ exception¹⁸⁸¹ of¹⁸⁸² one¹⁸⁸³ 3rd¹⁸⁸⁴ grader¹⁸⁸⁵ who¹⁸⁸⁶ ate¹⁸⁸⁷ with¹⁸⁸⁸ 2nd¹⁸⁸⁹ graders¹⁸⁹⁰).
School¹⁸⁹¹ B¹⁸⁹² served¹⁸⁹³ a¹⁸⁹⁴ traditional¹⁸⁹⁵ school¹⁸⁹⁶ lunch¹⁸⁹⁷ five¹⁸⁹⁸ days¹⁸⁹⁹ per¹⁹⁰⁰ week¹⁹⁰¹ that¹⁹⁰² included¹⁹⁰³ some¹⁹⁰⁴ components¹⁹⁰⁵ of¹⁹⁰⁶ the¹⁹⁰⁷ Eatiquette¹⁹⁰⁸ program¹⁹⁰⁹. Table¹⁹¹⁰ captains¹⁹¹¹ set¹⁹¹² round¹⁹¹³ tables¹⁹¹⁴ with¹⁹¹⁵ non¹⁹¹⁶-disposable¹⁹¹⁷ glasses¹⁹¹⁸ and¹⁹¹⁹ cutlery¹⁹²⁰ prior¹⁹²¹ to¹⁹²² the¹⁹²³ arrival¹⁹²⁴ of¹⁹²⁵ their¹⁹²⁶ classmates¹⁹²⁷. The¹⁹²⁸ table¹⁹²⁹ captains¹⁹³⁰ then¹⁹³¹ served¹⁹³² the¹⁹³³ food¹⁹³⁴ to¹⁹³⁵ the¹⁹³⁶ other¹⁹³⁷ children¹⁹³⁸ on¹⁹³⁹ individually¹⁹⁴⁰ prepared¹⁹⁴¹ plates¹⁹⁴² where¹⁹⁴³ all¹⁹⁴⁴ the¹⁹⁴⁵ meal¹⁹⁴⁶ elements¹⁹⁴⁷ (including¹⁹⁴⁸ dessert¹⁹⁴⁹) were¹⁹⁵⁰ served¹⁹⁵¹ simultaneously¹⁹⁵². The¹⁹⁵³ other¹⁹⁵⁴ components¹⁹⁵⁵ of¹⁹⁵⁶ the¹⁹⁵⁷ Eatiquette¹⁹⁵⁸ program¹⁹⁵⁹, including¹⁹⁶⁰ the¹⁹⁶¹ chef¹⁹⁶²-prepared¹⁹⁶³ food¹⁹⁶⁴, family¹⁹⁶⁵-style¹⁹⁶⁶ serving¹⁹⁶⁷, separate¹⁹⁶⁸ dessert¹⁹⁶⁹ course¹⁹⁷⁰ and¹⁹⁷¹ adults¹⁹⁷² at¹⁹⁷³ the¹⁹⁷⁴ table¹⁹⁷⁵ were¹⁹⁷⁶ not¹⁹⁷⁷ part¹⁹⁷⁸ of¹⁹⁷⁹ this¹⁹⁸⁰ lunch¹⁹⁸¹.
All¹⁹⁸² lunch¹⁹⁸³ meals¹⁹⁸⁴ were¹⁹⁸⁵ 30¹⁹⁸⁶ min¹⁹⁸⁷ in¹⁹⁸⁸ duration¹⁹⁸⁹. The¹⁹⁹⁰ lunches¹⁹⁹¹ served¹⁹⁹² at¹⁹⁹³ the¹⁹⁹⁴ two¹⁹⁹⁵ schools¹⁹⁹⁶ met¹⁹⁹⁷ the¹⁹⁹⁸ USDA¹⁹⁹⁹ requirements²⁰⁰⁰ for²⁰⁰¹ school²⁰⁰² lunches²⁰⁰³ (Nutrition²⁰⁰⁴ Standards²⁰⁰⁵, 2012²⁰⁰⁶).

2²⁰⁰⁷. 3²⁰⁰⁸. Target²⁰⁰⁹ Vegetables²⁰¹⁰

The²⁰¹¹ target²⁰¹² vegetables²⁰¹³ for²⁰¹⁴ the²⁰¹⁵ main²⁰¹⁶ part²⁰¹⁷ of²⁰¹⁸ the²⁰¹⁹ study²⁰²⁰ were²⁰²¹ sweet²⁰²² potato²⁰²³ “fries²⁰²⁴“ (these²⁰²⁵ were²⁰²⁶ sweet²⁰²⁷ potato²⁰²⁸ sticks²⁰²⁹ that²⁰³⁰ were²⁰³¹ baked²⁰³², but²⁰³³ were²⁰³⁴ called²⁰³⁵ “fries²⁰³⁶“) and²⁰³⁷ cauliflower²⁰³⁸. The²⁰³⁹ vegetables²⁰⁴⁰ were²⁰⁴¹ chosen²⁰⁴² because²⁰⁴³ they²⁰⁴⁴ were²⁰⁴⁵ being²⁰⁴⁶ served²⁰⁴⁷ in²⁰⁴⁸ the²⁰⁴⁹ traditional²⁰⁵⁰ school²⁰⁵¹ (School²⁰⁵² B²⁰⁵³) at²⁰⁵⁴ the²⁰⁵⁵ beginning²⁰⁵⁶ of²⁰⁵⁷ the²⁰⁵⁸ school²⁰⁵⁹ year²⁰⁶⁰. Although²⁰⁶¹ the²⁰⁶² experimenters²⁰⁶³ had²⁰⁶⁴ control²⁰⁶⁵ over²⁰⁶⁶ what²⁰⁶⁷ vegetables²⁰⁶⁸ were²⁰⁶⁹ served²⁰⁷⁰ in²⁰⁷¹ the²⁰⁷² Eatiquette²⁰⁷³ school²⁰⁷⁴ (School²⁰⁷⁵ A²⁰⁷⁶) they²⁰⁷⁷ had²⁰⁷⁸ no²⁰⁷⁹ control²⁰⁸⁰ over²⁰⁸¹ those²⁰⁸² served²⁰⁸³ in²⁰⁸⁴ School²⁰⁸⁵ B²⁰⁸⁶ (few²⁰⁸⁷ vegetables²⁰⁸⁸ that²⁰⁸⁹ were²⁰⁹⁰ not²⁰⁹¹ mixed²⁰⁹² with²⁰⁹³ other²⁰⁹⁴ vegetables²⁰⁹⁵ were²⁰⁹⁶ served²⁰⁹⁷. Cauliflower²⁰⁹⁸ was²⁰⁹⁹ not²¹⁰⁰ a²¹⁰¹ well²¹⁰²-liked²¹⁰³ vegetable²¹⁰⁴ and²¹⁰⁵ had²¹⁰⁶ not²¹⁰⁷ been²¹⁰⁸ served²¹⁰⁹ during²¹¹⁰ prior²¹¹¹ years²¹¹² in²¹¹³ the²¹¹⁴ Eatiquette²¹¹⁵ meals²¹¹⁶. However²¹¹⁷, sweet²¹¹⁸ potato²¹¹⁹ fries²¹²⁰ had²¹²¹ been²¹²² served²¹²³ in²¹²⁴ prior²¹²⁵ years²¹²⁶ in²¹²⁷ both²¹²⁸ schools²¹²⁹. Unfortunately²¹³⁰ cauliflower²¹³¹ was²¹³² not²¹³³ served²¹³⁴ at²¹³⁵ the²¹³⁶ end²¹³⁷ of²¹³⁸ the²¹³⁹ school²¹⁴⁰ year²¹⁴¹ in²¹⁴² School²¹⁴³ B²¹⁴⁴.
The²¹⁴⁵ preparation²¹⁴⁶ of²¹⁴⁷ the²¹⁴⁸ cauliflower²¹⁴⁹ differed²¹⁵⁰ at²¹⁵¹ the²¹⁵² two²¹⁵³ schools²¹⁵⁴. The²¹⁵⁵ Eatiquette²¹⁵⁶ preparation²¹⁵⁷ at²¹⁵⁸ School²¹⁵⁹ A²¹⁶⁰ consisted²¹⁶¹ of²¹⁶² fresh²¹⁶³ cauliflower²¹⁶⁴ florets²¹⁶⁵ coated²¹⁶⁶ in²¹⁶⁷ canola²¹⁶⁸/ olive²¹⁶⁹ oil²¹⁷⁰, seasoned²¹⁷¹ with²¹⁷² salt²¹⁷³ and²¹⁷⁴ pepper²¹⁷⁵ and²¹⁷⁶ roasted²¹⁷⁷. In²¹⁷⁸ the²¹⁷⁹ traditional²¹⁸⁰ preparation²¹⁸¹ at²¹⁸² School²¹⁸³ B²¹⁸⁴ the²¹⁸⁵ cauliflower²¹⁸⁶ was²¹⁸⁷ steamed²¹⁸⁸ unseasoned²¹⁸⁹ florets²¹⁹⁰. The²¹⁹¹ sweet²¹⁹² potato²¹⁹³ fries²¹⁹⁴ in²¹⁹⁵ the²¹⁹⁶ Eatiquette²¹⁹⁷ preparation²¹⁹⁸ were²¹⁹⁹ fresh²²⁰⁰ sweet²²⁰¹ potatoes²²⁰² cut²²⁰³ into²²⁰⁴ slices²²⁰⁵, coated²²⁰⁶ with²²⁰⁷ olive²²⁰⁸ oil²²⁰⁹, seasoned²²¹⁰ with²²¹¹ cinnamon²²¹², cumin²²¹³, salt²²¹⁴ and²²¹⁵ pepper²²¹⁶ and²²¹⁷ baked²²¹⁸. Although²²¹⁹ we²²²⁰ are²²²¹ not²²²² sure²²²³ of²²²⁴ the²²²⁵ exact²²²⁶ preparation²²²⁷ of²²²⁸ the²²²⁹ sweet²²³⁰ potato²²³¹ fries²²³² in²²³³ the²²³⁴ traditional²²³⁵ school²²³⁶ it²²³⁷ appeared²²³⁸ that²²³⁹ they²²⁴⁰ were²²⁴¹ a²²⁴² frozen²²⁴³, commercially²²⁴⁴ prepared²²⁴⁵ oil²²⁴⁶-coated²²⁴⁷ product²²⁴⁸, baked²²⁴⁹ and²²⁵⁰ seasoned²²⁵¹ with²²⁵² salt²²⁵³.
The²²⁵⁴ two²²⁵⁵ target²²⁵⁶ vegetables²²⁵⁷ were²²⁵⁸ never²²⁵⁹ served²²⁶⁰ at²²⁶¹ the²²⁶² same²²⁶³ time²²⁶⁴ in²²⁶⁵ either²²⁶⁶ school²²⁶⁷. Over²²⁶⁸ the²²⁶⁹ course²²⁷⁰ of²²⁷¹ the²²⁷² year²²⁷³, the²²⁷⁴ cauliflower²²⁷⁵ was²²⁷⁶ served²²⁷⁷ in²²⁷⁸ the²²⁷⁹ Eatiquette²²⁸⁰ meal²²⁸¹ (School²²⁸² A²²⁸³) and²²⁸⁴ in²²⁸⁵ the²²⁸⁶ traditional²²⁸⁷ meal²²⁸⁸ (School²²⁸⁹ B²²⁹⁰) four²²⁹¹ times²²⁹². The²²⁹³ sweet²²⁹⁴ potato²²⁹⁵ fries²²⁹⁶ were²²⁹⁷ served²²⁹⁸ five²²⁹⁹ times²³⁰⁰ in²³⁰¹ the²³⁰² Eatiquette²³⁰³ meal²³⁰⁴ (School²³⁰⁵ A²³⁰⁶) and²³⁰⁷ eleven²³⁰⁸ times²³⁰⁹ in²³¹⁰ the²³¹¹ traditional²³¹² meal²³¹³ (School²³¹⁴ B²³¹⁵). These²³¹⁶ two²³¹⁷ vegetables²³¹⁸ were²³¹⁹ never²³²⁰ served²³²¹ at²³²² School²³²³ A²³²⁴ during²³²⁵ the²³²⁶ heat²³²⁷-and²³²⁸-serve²³²⁹ meals²³³⁰ the²³³¹ students²³³² received²³³³ during²³³⁴ the²³³⁵ 4²³³⁶ days²³³⁷ a²³³⁸ week²³³⁹ they²³⁴⁰ did²³⁴¹ not²³⁴² get²³⁴³ the²³⁴⁴ Eatiquette²³⁴⁵ meal²³⁴⁶.

2²³⁴⁷. 4²³⁴⁸. Preliminary²³⁴⁹ test²³⁵⁰ of²³⁵¹ consumption²³⁵² equivalence²³⁵³ between²³⁵⁴ the²³⁵⁵ two²³⁵⁶ schools²³⁵⁷

In²³⁵⁸ order²³⁵⁹ to²³⁶⁰ ensure²³⁶¹ that²³⁶² any²³⁶³ difference²³⁶⁴ in²³⁶⁵ consumption²³⁶⁶ between²³⁶⁷ the²³⁶⁸ school²³⁶⁹ having²³⁷⁰ the²³⁷¹ Eatiquette²³⁷² program²³⁷³ (School²³⁷⁴ A²³⁷⁵) and²³⁷⁶ the²³⁷⁷ control²³⁷⁸ school²³⁷⁹ with²³⁸⁰ the²³⁸¹ traditional²³⁸² lunch²³⁸³ (School²³⁸⁴ B²³⁸⁵) was²³⁸⁶ not²³⁸⁷ the²³⁸⁸ result²³⁸⁹ of²³⁹⁰ children²³⁹¹ at²³⁹² one²³⁹³ school²³⁹⁴ liking²³⁹⁵ vegetables²³⁹⁶ more²³⁹⁷, or²³⁹⁸ simply²³⁹⁹ eating²⁴⁰⁰ more²⁴⁰¹ than²⁴⁰² the²⁴⁰³ children²⁴⁰⁴ at²⁴⁰⁵ the²⁴⁰⁶ other²⁴⁰⁷ school²⁴⁰⁸, consumption²⁴⁰⁹ of²⁴¹⁰ green²⁴¹¹ beans²⁴¹² was²⁴¹³ observed²⁴¹⁴ at²⁴¹⁵ the²⁴¹⁶ two²⁴¹⁷ schools²⁴¹⁸ at²⁴¹⁹ the²⁴²⁰ beginning²⁴²¹ of²⁴²² the²⁴²³ school²⁴²⁴ year²⁴²⁵ only²⁴²⁶. Consumption²⁴²⁷ of²⁴²⁸ this²⁴²⁹ vegetable²⁴³⁰ was²⁴³¹ observed²⁴³² on²⁴³³ a²⁴³⁴ day²⁴³⁵ when²⁴³⁶ School²⁴³⁷ A²⁴³⁸ did²⁴³⁹ not²⁴⁴⁰ have²⁴⁴¹ the²⁴⁴² Eatiquette²⁴⁴³ prepared²⁴⁴⁴ lunch²⁴⁴⁵ but²⁴⁴⁶ instead²⁴⁴⁷ had²⁴⁴⁸ a²⁴⁴⁹ heat²⁴⁵⁰-and²⁴⁵¹-serve²⁴⁵² lunch²⁴⁵³ (which²⁴⁵⁴ they²⁴⁵⁵ had²⁴⁵⁶ 4²⁴⁵⁷ out²⁴⁵⁸ of²⁴⁵⁹ 5²⁴⁶⁰ days²⁴⁶¹ a²⁴⁶² week²⁴⁶³) which²⁴⁶⁴ served²⁴⁶⁵ vegetables²⁴⁶⁶ similar²⁴⁶⁷ to²⁴⁶⁸ the²⁴⁶⁹ traditional²⁴⁷⁰ lunch²⁴⁷¹ in²⁴⁷² School²⁴⁷³ B²⁴⁷⁴.

2²⁴⁷⁵. 5²⁴⁷⁶. Lunchroom²⁴⁷⁷ observations²⁴⁷⁸

All²⁴⁷⁹ students²⁴⁸⁰ who²⁴⁸¹ were²⁴⁸² in²⁴⁸³ the²⁴⁸⁴ two²⁴⁸⁵ lunchrooms²⁴⁸⁶ on²⁴⁸⁷ the²⁴⁸⁸ days²⁴⁸⁹ when²⁴⁹⁰ either²⁴⁹¹ the²⁴⁹² cauliflower²⁴⁹³ or²⁴⁹⁴ the²⁴⁹⁵ sweet²⁴⁹⁶ potato²⁴⁹⁷ fries²⁴⁹⁸ were²⁴⁹⁹ served²⁵⁰⁰ were²⁵⁰¹ observed²⁵⁰² and²⁵⁰³ their²⁵⁰⁴ consumption²⁵⁰⁵ was²⁵⁰⁶ recorded²⁵⁰⁷. Twenty²⁵⁰⁸-four²⁵⁰⁹ to²⁵¹⁰ 26²⁵¹¹ students²⁵¹² were²⁵¹³ observed²⁵¹⁴ in²⁵¹⁵ School²⁵¹⁶ A²⁵¹⁷ on²⁵¹⁸ any²⁵¹⁹ given²⁵²⁰ day²⁵²¹. Sixty²⁵²²-one²⁵²³ to²⁵²⁴ 84²⁵²⁵ students²⁵²⁶ were²⁵²⁷ observed²⁵²⁸ on²⁵²⁹ any²⁵³⁰ given²⁵³¹ day²⁵³² in²⁵³³ School²⁵³⁴ B²⁵³⁵.
Observations²⁵³⁶ of²⁵³⁷ an²⁵³⁸ individual²⁵³⁹ child’s²⁵⁴⁰ consumption²⁵⁴¹ in²⁵⁴² the²⁵⁴³ lunchroom²⁵⁴⁴ does²⁵⁴⁵ present²⁵⁴⁶ some²⁵⁴⁷ problems²⁵⁴⁸ such²⁵⁴⁹ as²⁵⁵⁰ making²⁵⁵¹ sure²⁵⁵² that²⁵⁵³ one²⁵⁵⁴ child²⁵⁵⁵ is²⁵⁵⁶ not²⁵⁵⁷ eating²⁵⁵⁸ another²⁵⁵⁹ child’s²⁵⁶⁰ vegetable²⁵⁶¹ and²⁵⁶² individual²⁵⁶³ observer’s²⁵⁶⁴ differing²⁵⁶⁵ in²⁵⁶⁶ their²⁵⁶⁷ estimation²⁵⁶⁸. However²⁵⁶⁹, observers²⁵⁷⁰ were²⁵⁷¹ trained²⁵⁷² and²⁵⁷³ their²⁵⁷⁴ observations²⁵⁷⁵ checked²⁵⁷⁶ against²⁵⁷⁷ other²⁵⁷⁸ observers²⁵⁷⁹ for²⁵⁸⁰ consistency²⁵⁸¹. In²⁵⁸² addition²⁵⁸³, any²⁵⁸⁴ one²⁵⁸⁵ observer²⁵⁸⁶ only²⁵⁸⁷ had²⁵⁸⁸ a²⁵⁸⁹ few²⁵⁹⁰ children²⁵⁹¹ to²⁵⁹² observe²⁵⁹³ so²⁵⁹⁴ any²⁵⁹⁵ movement²⁵⁹⁶ of²⁵⁹⁷ food²⁵⁹⁸ from²⁵⁹⁹ a²⁶⁰⁰ child’s²⁶⁰¹ plate²⁶⁰² for²⁶⁰³ any²⁶⁰⁴ reason²⁶⁰⁵ other²⁶⁰⁶ than²⁶⁰⁷ consumption²⁶⁰⁸ would²⁶⁰⁹ have²⁶¹⁰ been²⁶¹¹ noticed²⁶¹².
Lunchroom²⁶¹³ consumption²⁶¹⁴ of²⁶¹⁵ sweet²⁶¹⁶ potato²⁶¹⁷ fries²⁶¹⁸ and²⁶¹⁹ cauliflower²⁶²⁰ in²⁶²¹ Eatiquette²⁶²² (School²⁶²³ A²⁶²⁴) and²⁶²⁵ traditional²⁶²⁶ (School²⁶²⁷ B²⁶²⁸) preparations²⁶²⁹ was²⁶³⁰ observed²⁶³¹ at²⁶³² the²⁶³³ beginning²⁶³⁴ of²⁶³⁵ the²⁶³⁶ school²⁶³⁷ year²⁶³⁸ (one²⁶³⁹ day²⁶⁴⁰ each²⁶⁴¹). Consumption²⁶⁴² of²⁶⁴³ sweet²⁶⁴⁴ potato²⁶⁴⁵ fries²⁶⁴⁶ was²⁶⁴⁷ observed²⁶⁴⁸ at²⁶⁴⁹ the²⁶⁵⁰ end²⁶⁵¹ of²⁶⁵² the²⁶⁵³ school²⁶⁵⁴ year²⁶⁵⁵ in²⁶⁵⁶ both²⁶⁵⁷ preparations²⁶⁵⁸ however²⁶⁵⁹ cauliflower²⁶⁶⁰ was²⁶⁶¹ only²⁶⁶² observed²⁶⁶³ in²⁶⁶⁴ the²⁶⁶⁵ Eatiquette²⁶⁶⁶ (School²⁶⁶⁷ A²⁶⁶⁸) preparation²⁶⁶⁹. Cauliflower²⁶⁷⁰ was²⁶⁷¹ not²⁶⁷² served²⁶⁷³ at²⁶⁷⁴ the²⁶⁷⁵ end²⁶⁷⁶ of²⁶⁷⁷ the²⁶⁷⁸ year²⁶⁷⁹ in²⁶⁸⁰ School²⁶⁸¹ B²⁶⁸² (traditional²⁶⁸³).
Children²⁶⁸⁴ were²⁶⁸⁵ observed²⁶⁸⁶ during²⁶⁸⁷ their²⁶⁸⁸ 30²⁶⁸⁹-min²⁶⁹⁰ lunch²⁶⁹¹ period²⁶⁹² at²⁶⁹³ the²⁶⁹⁴ beginning²⁶⁹⁵ and²⁶⁹⁶ end²⁶⁹⁷ of²⁶⁹⁸ the²⁶⁹⁹ school²⁷⁰⁰ year²⁷⁰¹. While²⁷⁰² the²⁷⁰³ children²⁷⁰⁴ were²⁷⁰⁵ eating²⁷⁰⁶ their²⁷⁰⁷ meal²⁷⁰⁸, observers²⁷⁰⁹ recorded²⁷¹⁰ how²⁷¹¹ much²⁷¹² of²⁷¹³ the²⁷¹⁴ target²⁷¹⁵ vegetable²⁷¹⁶ for²⁷¹⁷ that²⁷¹⁸ day²⁷¹⁹ was²⁷²⁰ consumed²⁷²¹ by²⁷²² the²⁷²³ children²⁷²⁴ during²⁷²⁵ the²⁷²⁶ meal²⁷²⁷. There²⁷²⁸ were²⁷²⁹ many²⁷³⁰ adults²⁷³¹ walking²⁷³² around²⁷³³ both²⁷³⁴ lunchrooms²⁷³⁵ and²⁷³⁶ the²⁷³⁷ children²⁷³⁸ were²⁷³⁹ not²⁷⁴⁰ aware²⁷⁴¹ of²⁷⁴² the²⁷⁴³ fact²⁷⁴⁴ that²⁷⁴⁵ the²⁷⁴⁶ observers²⁷⁴⁷ were²⁷⁴⁸ interested²⁷⁴⁹ in²⁷⁵⁰ their²⁷⁵¹ vegetable²⁷⁵² consumption²⁷⁵³. A²⁷⁵⁴ child’s²⁷⁵⁵ consumption²⁷⁵⁶ was²⁷⁵⁷ recorded²⁷⁵⁸ as²⁷⁵⁹ falling²⁷⁶⁰ into²⁷⁶¹ one²⁷⁶² of²⁷⁶³ three²⁷⁶⁴ categories²⁷⁶⁵. If²⁷⁶⁶ the²⁷⁶⁷ children²⁷⁶⁸ ate²⁷⁶⁹ none²⁷⁷⁰ of²⁷⁷¹ the²⁷⁷² vegetable²⁷⁷³, or²⁷⁷⁴ only²⁷⁷⁵ tasted²⁷⁷⁶ it²⁷⁷⁷, their²⁷⁷⁸ consumption²⁷⁷⁹ was²⁷⁸⁰ recorded²⁷⁸¹ as²⁷⁸² ”none²⁷⁸³”. If²⁷⁸⁴ they²⁷⁸⁵ ate²⁷⁸⁶ some²⁷⁸⁷ of²⁷⁸⁸ the²⁷⁸⁹ vegetable²⁷⁹⁰, but²⁷⁹¹ less²⁷⁹² than²⁷⁹³ all²⁷⁹⁴ of²⁷⁹⁵ it²⁷⁹⁶, their²⁷⁹⁷ consumption²⁷⁹⁸ was²⁷⁹⁹ recorded²⁸⁰⁰ as²⁸⁰¹ ”some²⁸⁰²”. If²⁸⁰³ they²⁸⁰⁴ ate²⁸⁰⁵ all²⁸⁰⁶ of²⁸⁰⁷ the²⁸⁰⁸ serving²⁸⁰⁹ put²⁸¹⁰ on²⁸¹¹ their²⁸¹² plate²⁸¹³ or²⁸¹⁴ they²⁸¹⁵ consumed²⁸¹⁶ seconds²⁸¹⁷ (which²⁸¹⁸ was²⁸¹⁹ often²⁸²⁰ possible²⁸²¹ with²⁸²² Eatiquette²⁸²³ meals²⁸²⁴ due²⁸²⁵ to²⁸²⁶ their²⁸²⁷ family²⁸²⁸ style²⁸²⁹ service²⁸³⁰ and²⁸³¹ traditional²⁸³² meals²⁸³³ due²⁸³⁴ to²⁸³⁵ sharing²⁸³⁶ between²⁸³⁷ children²⁸³⁸) their²⁸³⁹ consumption²⁸⁴⁰ was²⁸⁴¹ recorded²⁸⁴² as²⁸⁴³ “all²⁸⁴⁴/seconds²⁸⁴⁵“.
In²⁸⁴⁶ addition²⁸⁴⁷ to²⁸⁴⁸ the²⁸⁴⁹ consumption²⁸⁵⁰ observations²⁸⁵¹, liking²⁸⁵² ratings²⁸⁵³ for²⁸⁵⁴ the²⁸⁵⁵ cauliflower²⁸⁵⁶ and²⁸⁵⁷ sweet²⁸⁵⁸ potato²⁸⁵⁹ fries²⁸⁶⁰ were²⁸⁶¹ obtained²⁸⁶² in²⁸⁶³ the²⁸⁶⁴ lunchroom²⁸⁶⁵ at²⁸⁶⁶ the²⁸⁶⁷ end²⁸⁶⁸ of²⁸⁶⁹ the²⁸⁷⁰ school²⁸⁷¹ year²⁸⁷² in²⁸⁷³ the²⁸⁷⁴ Eatiquette²⁸⁷⁵ lunchroom²⁸⁷⁶ (School²⁸⁷⁷ A²⁸⁷⁸) only²⁸⁷⁹. Collection²⁸⁸⁰ of²⁸⁸¹ the²⁸⁸² liking²⁸⁸³ ratings²⁸⁸⁴ were²⁸⁸⁵ not²⁸⁸⁶ allowed²⁸⁸⁷ in²⁸⁸⁸ School²⁸⁸⁹ B²⁸⁹⁰. Each²⁸⁹¹ child²⁸⁹² received²⁸⁹³ a²⁸⁹⁴ golf²⁸⁹⁵ pencil²⁸⁹⁶ and²⁸⁹⁷ a²⁸⁹⁸ small²⁸⁹⁹ slip²⁹⁰⁰ of²⁹⁰¹ paper²⁹⁰² with²⁹⁰³ visual²⁹⁰⁴ depictions²⁹⁰⁵ of²⁹⁰⁶ four²⁹⁰⁷ faces²⁹⁰⁸, each²⁹⁰⁹ with²⁹¹⁰ a²⁹¹¹ word²⁹¹² label²⁹¹³ of²⁹¹⁴ affective²⁹¹⁵ value²⁹¹⁶ beneath²⁹¹⁷ it²⁹¹⁸, and²⁹¹⁹ a²⁹²⁰ checkbox²⁹²¹ available²⁹²² for²⁹²³ selection²⁹²⁴ of²⁹²⁵ the²⁹²⁶ proper²⁹²⁷ face²⁹²⁸, that²⁹²⁹ served²⁹³⁰ as²⁹³¹ a²⁹³² rating²⁹³³ scale²⁹³⁴. One²⁹³⁵ face²⁹³⁶ was²⁹³⁷ smiling²⁹³⁸ a²⁹³⁹ lot²⁹⁴⁰ (labeled²⁹⁴¹ “really²⁹⁴² good²⁹⁴³“), one²⁹⁴⁴ face²⁹⁴⁵ was²⁹⁴⁶ smiling²⁹⁴⁷ a²⁹⁴⁸ little²⁹⁴⁹ (labeled²⁹⁵⁰ “a²⁹⁵¹ little²⁹⁵² good²⁹⁵³“), one²⁹⁵⁴ face²⁹⁵⁵ was²⁹⁵⁶ frowning²⁹⁵⁷ slightly²⁹⁵⁸ (labeled²⁹⁵⁹ “a²⁹⁶⁰ little²⁹⁶¹ bad²⁹⁶²“), and²⁹⁶³ one²⁹⁶⁴ face²⁹⁶⁵ was²⁹⁶⁶ frowning²⁹⁶⁷ a²⁹⁶⁸ lot²⁹⁶⁹ (labeled²⁹⁷⁰ “really²⁹⁷¹ bad²⁹⁷²“). Such²⁹⁷³ faces²⁹⁷⁴ are²⁹⁷⁵ easily²⁹⁷⁶ used²⁹⁷⁷ by²⁹⁷⁸ children²⁹⁷⁹ 7²⁹⁸⁰-10²⁹⁸¹ years²⁹⁸² of²⁹⁸³ age²⁹⁸⁴ to²⁹⁸⁵ report²⁹⁸⁶ their²⁹⁸⁷ liking²⁹⁸⁸ for²⁹⁸⁹ food²⁹⁹⁰ (Popper²⁹⁹¹ & Kroll²⁹⁹², 2005²⁹⁹³). The²⁹⁹⁴ observers²⁹⁹⁵ asked²⁹⁹⁶ the²⁹⁹⁷ children²⁹⁹⁸ to²⁹⁹⁹ provide³⁰⁰⁰ liking³⁰⁰¹ ratings³⁰⁰² toward³⁰⁰³ the³⁰⁰⁴ end³⁰⁰⁵ of³⁰⁰⁶ the³⁰⁰⁷ lunch³⁰⁰⁸ period³⁰⁰⁹.

2³⁰¹⁰. 6³⁰¹¹. Individual³⁰¹² interviews³⁰¹³

Students³⁰¹⁴ who³⁰¹⁵ participated³⁰¹⁶ in³⁰¹⁷ this³⁰¹⁸ part³⁰¹⁹ of³⁰²⁰ the³⁰²¹ study³⁰²² were³⁰²³ a³⁰²⁴ subset³⁰²⁵ of³⁰²⁶ the³⁰²⁷ students³⁰²⁸ from³⁰²⁹ the³⁰³⁰ two³⁰³¹ schools³⁰³² who³⁰³³ were³⁰³⁴ observed³⁰³⁵ in³⁰³⁶ the³⁰³⁷ lunchrooms³⁰³⁸. Only³⁰³⁹ those³⁰⁴⁰ children³⁰⁴¹ whose³⁰⁴² parents³⁰⁴³ gave³⁰⁴⁴ consent³⁰⁴⁵ for³⁰⁴⁶ them³⁰⁴⁷ to³⁰⁴⁸ participate³⁰⁴⁹ and³⁰⁵⁰ who³⁰⁵¹ agreed³⁰⁵² to³⁰⁵³ participate³⁰⁵⁴ were³⁰⁵⁵ included³⁰⁵⁶ in³⁰⁵⁷ the³⁰⁵⁸ interview³⁰⁵⁹ portion³⁰⁶⁰. In³⁰⁶¹ School³⁰⁶² A³⁰⁶³, six³⁰⁶⁴ subjects³⁰⁶⁵ (3³⁰⁶⁶ male³⁰⁶⁷ and³⁰⁶⁸ 3³⁰⁶⁹ female³⁰⁷⁰) participated³⁰⁷¹. Four³⁰⁷² were³⁰⁷³ in³⁰⁷⁴ 3rd³⁰⁷⁵ grade³⁰⁷⁶ and³⁰⁷⁷ two³⁰⁷⁸ were³⁰⁷⁹ in³⁰⁸⁰ fourth³⁰⁸¹ (age³⁰⁸² M³⁰⁸³ = 8.5³⁰⁸⁴ years³⁰⁸⁵). In³⁰⁸⁶ School³⁰⁸⁷ B³⁰⁸⁸, 22³⁰⁸⁹ subjects³⁰⁹⁰ (12³⁰⁹¹ male³⁰⁹² and³⁰⁹³ 10³⁰⁹⁴ female³⁰⁹⁵ participated³⁰⁹⁶. Fourteen³⁰⁹⁷ were³⁰⁹⁸ in³⁰⁹⁹ 3rd³¹⁰⁰ grade³¹⁰¹ and³¹⁰² eight³¹⁰³ were³¹⁰⁴ in³¹⁰⁵ 4th³¹⁰⁶ grade³¹⁰⁷ (age³¹⁰⁸ M³¹⁰⁹ = 8.7³¹¹⁰ years³¹¹¹).
Individual³¹¹² children³¹¹³ sat³¹¹⁴ with³¹¹⁵ individual³¹¹⁶ researchers³¹¹⁷ at³¹¹⁸ separate³¹¹⁹ tables³¹²⁰ in³¹²¹ various³¹²² multipurpose³¹²³ rooms³¹²⁴ at³¹²⁵ each³¹²⁶ school³¹²⁷. Each³¹²⁸ child³¹²⁹ was³¹³⁰ interviewed³¹³¹ once³¹³² at³¹³³ the³¹³⁴ beginning³¹³⁵ of³¹³⁶ the³¹³⁷ school³¹³⁸ year³¹³⁹ (October³¹⁴⁰-November³¹⁴¹) and³¹⁴² once³¹⁴³ at³¹⁴⁴ the³¹⁴⁵ end³¹⁴⁶ of³¹⁴⁷ the³¹⁴⁸ school³¹⁴⁹ year³¹⁵⁰ (April³¹⁵¹-May³¹⁵²).
Researchers³¹⁵³ had³¹⁵⁴ an³¹⁵⁵ opaque³¹⁵⁶ file³¹⁵⁷ box³¹⁵⁸ filled³¹⁵⁹ with³¹⁶⁰ eight³¹⁶¹ individual³¹⁶² cups³¹⁶³ of³¹⁶⁴ raw³¹⁶⁵ vegetables³¹⁶⁶ for³¹⁶⁷ presentation³¹⁶⁸, data³¹⁶⁹ sheets³¹⁷⁰ for³¹⁷¹ recording³¹⁷² responses³¹⁷³, and³¹⁷⁴ four³¹⁷⁵ table³¹⁷⁶-tents³¹⁷⁷ with³¹⁷⁸ the³¹⁷⁹ rating³¹⁸⁰ scale³¹⁸¹ children³¹⁸² used³¹⁸³ in³¹⁸⁴ their³¹⁸⁵ liking³¹⁸⁶ assessments³¹⁸⁷. Each³¹⁸⁸ opaque³¹⁸⁹ file³¹⁹⁰ box³¹⁹¹ contained³¹⁹² samples³¹⁹³ of³¹⁹⁴ eight³¹⁹⁵ raw³¹⁹⁶ vegetables³¹⁹⁷ in³¹⁹⁸ 6³¹⁹⁹-oz³²⁰⁰ Newspring³²⁰¹ brand³²⁰² translucent³²⁰³ containers³²⁰⁴ for³²⁰⁵ children³²⁰⁶ to³²⁰⁷ view³²⁰⁸ (not³²⁰⁹ to³²¹⁰ eat³²¹¹): raw³²¹² baby³²¹³ carrots³²¹⁴, cucumber³²¹⁵ slices³²¹⁶, sweet³²¹⁷ potato³²¹⁸ sticks³²¹⁹, asparagus³²²⁰ tops³²²¹, trimmed³²²² green³²²³ beans³²²⁴, halved³²²⁵/whole³²²⁶ Brussels³²²⁷ sprouts³²²⁸, cauliflower³²²⁹ florets³²³⁰, and³²³¹ broccoli³²³² florets³²³³. Vegetables³²³⁴ were³²³⁵ kept³²³⁶ chilled³²³⁷ with³²³⁸ ice³²³⁹ packs³²⁴⁰ until³²⁴¹ presentation³²⁴² time³²⁴³ to³²⁴⁴ preserve³²⁴⁵ their³²⁴⁶ appearance³²⁴⁷ over³²⁴⁸ the³²⁴⁹ testing³²⁵⁰ session³²⁵¹.
The³²⁵² four³²⁵³ Plexiglas³²⁵⁴ table³²⁵⁵ tents³²⁵⁶ each³²⁵⁷ measured³²⁵⁸ 4³²⁵⁹″ x 6³²⁶⁰″. Each³²⁶¹ table³²⁶² tent³²⁶³ had³²⁶⁴ a³²⁶⁵ piece³²⁶⁶ of³²⁶⁷ paper³²⁶⁸ inside³²⁶⁹ with³²⁷⁰ one³²⁷¹ of³²⁷² the³²⁷³ pictures³²⁷⁴ of³²⁷⁵ the³²⁷⁶ faces³²⁷⁷ and³²⁷⁸ word³²⁷⁹ labels³²⁸⁰ used³²⁸¹ in³²⁸² the³²⁸³ Eatiquette³²⁸⁴ lunchroom³²⁸⁵ to³²⁸⁶ measure³²⁸⁷ liking³²⁸⁸ (see³²⁸⁹ above³²⁹⁰). These³²⁹¹ were³²⁹² always³²⁹³ arranged³²⁹⁴ in³²⁹⁵ order³²⁹⁶ on³²⁹⁷ the³²⁹⁸ table³²⁹⁹ with³³⁰⁰ “really³³⁰¹ good³³⁰²“ on³³⁰³ the³³⁰⁴ left³³⁰⁵ to³³⁰⁶ “really³³⁰⁷ bad³³⁰⁸“ on³³⁰⁹ the³³¹⁰ right³³¹¹.
Children³³¹² were³³¹³ asked³³¹⁴ to³³¹⁵ provide³³¹⁶ demographic³³¹⁷ information³³¹⁸ including³³¹⁹ their³³²⁰ name³³²¹, age³³²², and³³²³ grade³³²⁴. Then³³²⁵ researchers³³²⁶ pulled³³²⁷ cups³³²⁸ of³³²⁹ vegetables³³³⁰ out³³³¹ of³³³² their³³³³ file³³³⁴ box³³³⁵ in³³³⁶ random³³³⁷ order³³³⁸, removed³³³⁹ the³³⁴⁰ top³³⁴¹ of³³⁴² the³³⁴³ container³³⁴⁴ for³³⁴⁵ better³³⁴⁶ viewing³³⁴⁷, and³³⁴⁸ asked³³⁴⁹ children³³⁵⁰ if³³⁵¹ they³³⁵² knew³³⁵³ what³³⁵⁴ the³³⁵⁵ vegetable³³⁵⁶ was³³⁵⁷ called³³⁵⁸. When³³⁵⁹ not³³⁶⁰ correctly³³⁶¹ identified³³⁶² the³³⁶³ correct³³⁶⁴ name³³⁶⁵ was³³⁶⁶ provided³³⁶⁷ to³³⁶⁸ the³³⁶⁹ child³³⁷⁰. Children³³⁷¹ were³³⁷² then³³⁷³ asked³³⁷⁴ if³³⁷⁵ they³³⁷⁶ had³³⁷⁷ ever³³⁷⁸ eaten³³⁷⁹ the³³⁸⁰ vegetable³³⁸¹. Then³³⁸² the³³⁸³ child³³⁸⁴ was³³⁸⁵ asked³³⁸⁶ to³³⁸⁷ place³³⁸⁸ the³³⁸⁹ cup³³⁹⁰ containing³³⁹¹ the³³⁹² vegetable³³⁹³ in³³⁹⁴ front³³⁹⁵ of³³⁹⁶ one³³⁹⁷ of³³⁹⁸ the³³⁹⁹ four³⁴⁰⁰ faces³⁴⁰¹ of³⁴⁰² the³⁴⁰³ rating³⁴⁰⁴ scale³⁴⁰⁵ to³⁴⁰⁶ indicate³⁴⁰⁷ how³⁴⁰⁸ they³⁴⁰⁹ thought³⁴¹⁰ it³⁴¹¹ would³⁴¹² taste³⁴¹³ if³⁴¹⁴ it³⁴¹⁵ were³⁴¹⁶ prepared³⁴¹⁷ for³⁴¹⁸ them³⁴¹⁹ in³⁴²⁰ any³⁴²¹ manner³⁴²² they³⁴²³ would³⁴²⁴ want³⁴²⁵. This³⁴²⁶ is³⁴²⁷ therefore³⁴²⁸ an³⁴²⁹ “expected³⁴³⁰ liking³⁴³¹“ measure³⁴³² since³⁴³³ children³⁴³⁴ could³⁴³⁵ imagine³⁴³⁶ a³⁴³⁷ vegetable³⁴³⁸ prepared³⁴³⁹ in³⁴⁴⁰ many³⁴⁴¹ ways³⁴⁴². While³⁴⁴³ this³⁴⁴⁴ might³⁴⁴⁵ have³⁴⁴⁶ increased³⁴⁴⁷ the³⁴⁴⁸ variability³⁴⁴⁹ of³⁴⁵⁰ ratings³⁴⁵¹, it³⁴⁵² also³⁴⁵³ gave³⁴⁵⁴ a³⁴⁵⁵ measure³⁴⁵⁶ of³⁴⁵⁷ how³⁴⁵⁸ the³⁴⁵⁹ child³⁴⁶⁰ thought³⁴⁶¹ about³⁴⁶² the³⁴⁶³ taste³⁴⁶⁴ of³⁴⁶⁵ the³⁴⁶⁶ vegetable³⁴⁶⁷. We³⁴⁶⁸ were³⁴⁶⁹ not³⁴⁷⁰ interested³⁴⁷¹ in³⁴⁷² how³⁴⁷³ much³⁴⁷⁴ they³⁴⁷⁵ liked³⁴⁷⁶ the³⁴⁷⁷ taste³⁴⁷⁸ of³⁴⁷⁹ the³⁴⁸⁰ vegetables³⁴⁸¹ when³⁴⁸² uncooked³⁴⁸³ or³⁴⁸⁴ prepared³⁴⁸⁵ in³⁴⁸⁶ any³⁴⁸⁷ specific³⁴⁸⁸ way³⁴⁸⁹. This³⁴⁹⁰ procedure³⁴⁹¹ was³⁴⁹² repeated³⁴⁹³ for³⁴⁹⁴ all³⁴⁹⁵ eight³⁴⁹⁶ vegetables³⁴⁹⁷. Finally³⁴⁹⁸, children³⁴⁹⁹ were³⁵⁰⁰ asked³⁵⁰¹ to³⁵⁰² rank³⁵⁰³ the³⁵⁰⁴ vegetables³⁵⁰⁵. If³⁵⁰⁶ they³⁵⁰⁷ had³⁵⁰⁸ rated³⁵⁰⁹ more³⁵¹⁰ than³⁵¹¹ one³⁵¹² vegetable³⁵¹³ “really³⁵¹⁴ good³⁵¹⁵“, they³⁵¹⁶ were³⁵¹⁷ asked³⁵¹⁸ which³⁵¹⁹ was³⁵²⁰ their³⁵²¹ favorite³⁵²² vegetable³⁵²³, next³⁵²⁴ favorite³⁵²⁵, and³⁵²⁶ so³⁵²⁷ on³⁵²⁸. The³⁵²⁹ same³⁵³⁰ procedure³⁵³¹ was³⁵³² followed³⁵³³ for³⁵³⁴ those³⁵³⁵ vegetables³⁵³⁶ rated³⁵³⁷ “a³⁵³⁸ little³⁵³⁹ good³⁵⁴⁰“, then³⁵⁴¹ “a³⁵⁴² little³⁵⁴³ bad³⁵⁴⁴“, then³⁵⁴⁵ “really³⁵⁴⁶ bad³⁵⁴⁷“, until³⁵⁴⁸ all³⁵⁴⁹ vegetables³⁵⁵⁰ were³⁵⁵¹ ranked³⁵⁵² from³⁵⁵³ best³⁵⁵⁴ (1³⁵⁵⁵) to³⁵⁵⁶ worst³⁵⁵⁷ (8³⁵⁵⁸). Children³⁵⁵⁹ were³⁵⁶⁰ thanked³⁵⁶¹ for³⁵⁶² their³⁵⁶³ participation³⁵⁶⁴ and³⁵⁶⁵ offered³⁵⁶⁶ a³⁵⁶⁷ piece³⁵⁶⁸ of³⁵⁶⁹ fruit³⁵⁷⁰ to³⁵⁷¹ take³⁵⁷² back³⁵⁷³ to³⁵⁷⁴ their³⁵⁷⁵ classrooms³⁵⁷⁶ or³⁵⁷⁷ lunch³⁵⁷⁸.

3³⁵⁷⁹. Data³⁵⁸⁰ analysis³⁵⁸¹

Consumption³⁵⁸² data³⁵⁸³ (number³⁵⁸⁴ of³⁵⁸⁵ subjects³⁵⁸⁶ eating³⁵⁸⁷ none³⁵⁸⁸, some³⁵⁸⁹, or³⁵⁹⁰ all³⁵⁹¹/ seconds³⁵⁹² of³⁵⁹³ the³⁵⁹⁴ vegetable³⁵⁹⁵ for³⁵⁹⁶ the³⁵⁹⁷ day³⁵⁹⁸), both³⁵⁹⁹ in³⁶⁰⁰ the³⁶⁰¹ preliminary³⁶⁰² test³⁶⁰³ of³⁶⁰⁴ consumption³⁶⁰⁵ equivalency³⁶⁰⁶ and³⁶⁰⁷ also³⁶⁰⁸ the³⁶⁰⁹ tests³⁶¹⁰ of³⁶¹¹ consumption³⁶¹² of³⁶¹³ the³⁶¹⁴ two³⁶¹⁵ target³⁶¹⁶ vegetables³⁶¹⁷, were³⁶¹⁸ analyzed³⁶¹⁹ using³⁶²⁰ chi³⁶²¹-square³⁶²² tests³⁶²³. Cramer’s³⁶²⁴ V³⁶²⁵ was³⁶²⁶ used³⁶²⁷ to³⁶²⁸ compute³⁶²⁹ the³⁶³⁰ effect³⁶³¹ size³⁶³². This³⁶³³ test³⁶³⁴ was³⁶³⁵ used³⁶³⁶ to³⁶³⁷ compare³⁶³⁸ the³⁶³⁹ consumption³⁶⁴⁰ patterns³⁶⁴¹ of³⁶⁴² a³⁶⁴³ particular³⁶⁴⁴ vegetable³⁶⁴⁵ between³⁶⁴⁶ children³⁶⁴⁷ at³⁶⁴⁸ the³⁶⁴⁹ two³⁶⁵⁰ schools³⁶⁵¹. It³⁶⁵² was³⁶⁵³ also³⁶⁵⁴ used³⁶⁵⁵ to³⁶⁵⁶ compare³⁶⁵⁷ consumption³⁶⁵⁸ patterns³⁶⁵⁹ of³⁶⁶⁰ the³⁶⁶¹ target³⁶⁶² vegetables³⁶⁶³ within³⁶⁶⁴ a³⁶⁶⁵ school³⁶⁶⁶ at³⁶⁶⁷ the³⁶⁶⁸ beginning³⁶⁶⁹ and³⁶⁷⁰ the³⁶⁷¹ end³⁶⁷² of³⁶⁷³ the³⁶⁷⁴ school³⁶⁷⁵ year³⁶⁷⁶. Although³⁶⁷⁷ the³⁶⁷⁸ chi³⁶⁷⁹-square³⁶⁸⁰ test³⁶⁸¹ is³⁶⁸² a³⁶⁸³ test³⁶⁸⁴ for³⁶⁸⁵ independent³⁶⁸⁶ samples³⁶⁸⁷ we³⁶⁸⁸ used³⁶⁸⁹ it³⁶⁹⁰ when³⁶⁹¹ comparing³⁶⁹² consumption³⁶⁹³ in³⁶⁹⁴ children³⁶⁹⁵ in³⁶⁹⁶ the³⁶⁹⁷ same³⁶⁹⁸ school³⁶⁹⁹ (mostly³⁷⁰⁰ the³⁷⁰¹ same³⁷⁰² children³⁷⁰³) at³⁷⁰⁴ two³⁷⁰⁵ different³⁷⁰⁶ points³⁷⁰⁷ in³⁷⁰⁸ time³⁷⁰⁹. Since³⁷¹⁰ we³⁷¹¹ were³⁷¹² not³⁷¹³ allowed³⁷¹⁴ to³⁷¹⁵ identify³⁷¹⁶ the³⁷¹⁷ children³⁷¹⁸ in³⁷¹⁹ the³⁷²⁰ lunchroom³⁷²¹ we³⁷²² had³⁷²³ no³⁷²⁴ way³⁷²⁵ to³⁷²⁶ compare³⁷²⁷ a³⁷²⁸ particular³⁷²⁹ child’s³⁷³⁰ consumption³⁷³¹ at³⁷³² the³⁷³³ beginning³⁷³⁴ of³⁷³⁵ the³⁷³⁶ year³⁷³⁷ with³⁷³⁸ their³⁷³⁹ consumption³⁷⁴⁰ at³⁷⁴¹ the³⁷⁴² end³⁷⁴³ of³⁷⁴⁴ the³⁷⁴⁵ year³⁷⁴⁶. We³⁷⁴⁷ were³⁷⁴⁸ also³⁷⁴⁹ not³⁷⁵⁰ able³⁷⁵¹ to³⁷⁵² determine³⁷⁵³ how³⁷⁵⁴ many³⁷⁵⁵ of³⁷⁵⁶ the³⁷⁵⁷ children³⁷⁵⁸ ate³⁷⁵⁹ lunch³⁷⁶⁰ on³⁷⁶¹ both³⁷⁶² of³⁷⁶³ the³⁷⁶⁴ days³⁷⁶⁵ we³⁷⁶⁶ were³⁷⁶⁷ comparing³⁷⁶⁸. Since³⁷⁶⁹ comparing³⁷⁷⁰ the³⁷⁷¹ same³⁷⁷² subjects³⁷⁷³ at³⁷⁷⁴ two³⁷⁷⁵ different³⁷⁷⁶ points³⁷⁷⁷ in³⁷⁷⁸ time³⁷⁷⁹ in³⁷⁸⁰ such³⁷⁸¹ a³⁷⁸² test³⁷⁸³ should³⁷⁸⁴ reduce³⁷⁸⁵ the³⁷⁸⁶ likelihood³⁷⁸⁷ of³⁷⁸⁸ finding³⁷⁸⁹ a³⁷⁹⁰ significant³⁷⁹¹ difference³⁷⁹² in³⁷⁹³ consumption³⁷⁹⁴ (we³⁷⁹⁵ would³⁷⁹⁶ expect³⁷⁹⁷ a³⁷⁹⁸ child’s³⁷⁹⁹ consumption³⁸⁰⁰ of³⁸⁰¹ a³⁸⁰² particular³⁸⁰³ vegetable³⁸⁰⁴ would³⁸⁰⁵ tend³⁸⁰⁶ to³⁸⁰⁷ be³⁸⁰⁸ similar³⁸⁰⁹ on³⁸¹⁰ the³⁸¹¹ two³⁸¹² occasions³⁸¹³) using³⁸¹⁴ this³⁸¹⁵ test³⁸¹⁶ should³⁸¹⁷ be³⁸¹⁸ somewhat³⁸¹⁹ conservative³⁸²⁰. Bonferroni³⁸²¹ corrections³⁸²² were³⁸²³ used³⁸²⁴ to³⁸²⁵ adjust³⁸²⁶ the³⁸²⁷ α³⁸²⁸-level³⁸²⁹ for³⁸³⁰ both³⁸³¹ the³⁸³² sweet³⁸³³ potato³⁸³⁴ and³⁸³⁵ cauliflower³⁸³⁶ data³⁸³⁷ (corrected³⁸³⁸ α³⁸³⁹ = 0.01³⁸⁴⁰). In³⁸⁴¹ addition³⁸⁴², we³⁸⁴³ report³⁸⁴⁴ the³⁸⁴⁵ number³⁸⁴⁶ and³⁸⁴⁷ percentage³⁸⁴⁸ of³⁸⁴⁹ subjects³⁸⁵⁰ who³⁸⁵¹ ate³⁸⁵² none³⁸⁵³, some³⁸⁵⁴, or³⁸⁵⁵ all³⁸⁵⁶ of³⁸⁵⁷ the³⁸⁵⁸ vegetables³⁸⁵⁹.
In³⁸⁶⁰ the³⁸⁶¹ interview³⁸⁶² part³⁸⁶³ of³⁸⁶⁴ the³⁸⁶⁵ study³⁸⁶⁶ the³⁸⁶⁷ change³⁸⁶⁸ in³⁸⁶⁹ number³⁸⁷⁰ of³⁸⁷¹ vegetables³⁸⁷² identified³⁸⁷³ correctly³⁸⁷⁴ between³⁸⁷⁵ the³⁸⁷⁶ beginning³⁸⁷⁷ and³⁸⁷⁸ the³⁸⁷⁹ end³⁸⁸⁰ of³⁸⁸¹ the³⁸⁸² school³⁸⁸³ year³⁸⁸⁴ was³⁸⁸⁵ analyzed³⁸⁸⁶ for³⁸⁸⁷ each³⁸⁸⁸ school³⁸⁸⁹. Paired³⁸⁹⁰ t³⁸⁹¹-tests³⁸⁹² compared³⁸⁹³ the³⁸⁹⁴ number³⁸⁹⁵ of³⁸⁹⁶ correctly³⁸⁹⁷ identified³⁸⁹⁸ vegetables³⁸⁹⁹ from³⁹⁰⁰ the³⁹⁰¹ beginning³⁹⁰² to³⁹⁰³ the³⁹⁰⁴ end³⁹⁰⁵ of³⁹⁰⁶ the³⁹⁰⁷ year³⁹⁰⁸.
Also³⁹⁰⁹ in³⁹¹⁰ the³⁹¹¹ interview³⁹¹² part³⁹¹³ of³⁹¹⁴ the³⁹¹⁵ study³⁹¹⁶ each³⁹¹⁷ child’s³⁹¹⁸ rating³⁹¹⁹ and³⁹²⁰ ranking³⁹²¹ of³⁹²² each³⁹²³ vegetable³⁹²⁴ at³⁹²⁵ the³⁹²⁶ end³⁹²⁷ of³⁹²⁸ the³⁹²⁹ year³⁹³⁰ was³⁹³¹ subtracted³⁹³² from³⁹³³ their³⁹³⁴ rating³⁹³⁵ and³⁹³⁶ ranking³⁹³⁷ for³⁹³⁸ that³⁹³⁹ vegetable³⁹⁴⁰ at³⁹⁴¹ the³⁹⁴² beginning³⁹⁴³ of³⁹⁴⁴ the³⁹⁴⁵ year³⁹⁴⁶. This³⁹⁴⁷ allowed³⁹⁴⁸ us³⁹⁴⁹ to³⁹⁵⁰ compare³⁹⁵¹ the³⁹⁵² size³⁹⁵³ of³⁹⁵⁴ the³⁹⁵⁵ change³⁹⁵⁶ in³⁹⁵⁷ ratings³⁹⁵⁸ and³⁹⁵⁹ rankings³⁹⁶⁰ for³⁹⁶¹ the³⁹⁶² vegetables³⁹⁶³ between³⁹⁶⁴ subjects³⁹⁶⁵ in³⁹⁶⁶ the³⁹⁶⁷ two³⁹⁶⁸ schools³⁹⁶⁹. The³⁹⁷⁰ change³⁹⁷¹ scores³⁹⁷² for³⁹⁷³ School³⁹⁷⁴ A³⁹⁷⁵ children³⁹⁷⁶ receiving³⁹⁷⁷ the³⁹⁷⁸ Eatiquette³⁹⁷⁹ lunch³⁹⁸⁰ were³⁹⁸¹ compared³⁹⁸² to³⁹⁸³ the³⁹⁸⁴ change³⁹⁸⁵ scores³⁹⁸⁶ for³⁹⁸⁷ the³⁹⁸⁸ children³⁹⁸⁹ in³⁹⁹⁰ School³⁹⁹¹ B³⁹⁹² using³⁹⁹³ t³⁹⁹⁴-tests³⁹⁹⁵. Cohen’s³⁹⁹⁶ d³⁹⁹⁷ was³⁹⁹⁸ used³⁹⁹⁹ to⁴⁰⁰⁰ measure⁴⁰⁰¹ effect⁴⁰⁰² size⁴⁰⁰³. Since⁴⁰⁰⁴ eight⁴⁰⁰⁵ vegetables⁴⁰⁰⁶ were⁴⁰⁰⁷ tested⁴⁰⁰⁸ the⁴⁰⁰⁹ α⁴⁰¹⁰-level⁴⁰¹¹ was⁴⁰¹² adjusted⁴⁰¹³ using⁴⁰¹⁴ the⁴⁰¹⁵ Bonferroni⁴⁰¹⁶ correction⁴⁰¹⁷ (0.05⁴⁰¹⁸/8⁴⁰¹⁹ = 0.006⁴⁰²⁰).

4⁴⁰²¹. Results⁴⁰²²

4⁴⁰²³. 1⁴⁰²⁴. Preliminary⁴⁰²⁵ test⁴⁰²⁶ of⁴⁰²⁷ consumption⁴⁰²⁸ equivalency⁴⁰²⁹

The⁴⁰³⁰ green⁴⁰³¹ bean⁴⁰³² consumption⁴⁰³³ of⁴⁰³⁴ the⁴⁰³⁵ children⁴⁰³⁶ at⁴⁰³⁷ School⁴⁰³⁸ A⁴⁰³⁹ on⁴⁰⁴⁰ a⁴⁰⁴¹ day⁴⁰⁴² they⁴⁰⁴³ received⁴⁰⁴⁴ heat⁴⁰⁴⁵-and⁴⁰⁴⁶-serve⁴⁰⁴⁷ lunch⁴⁰⁴⁸ was⁴⁰⁴⁹ not⁴⁰⁵⁰ significantly⁴⁰⁵¹ different⁴⁰⁵² from⁴⁰⁵³ that⁴⁰⁵⁴ of⁴⁰⁵⁵ the⁴⁰⁵⁶ children⁴⁰⁵⁷ at⁴⁰⁵⁸ School⁴⁰⁵⁹ B⁴⁰⁶⁰ getting⁴⁰⁶¹ the⁴⁰⁶² traditional⁴⁰⁶³ lunch⁴⁰⁶⁴, χ2⁴⁰⁶⁵ (2⁴⁰⁶⁶) = 1.04⁴⁰⁶⁷, p⁴⁰⁶⁸ = 0.59⁴⁰⁶⁹, Cramer’s⁴⁰⁷⁰ V⁴⁰⁷¹ = 0.11⁴⁰⁷². At⁴⁰⁷³ both⁴⁰⁷⁴ schools⁴⁰⁷⁵ a⁴⁰⁷⁶ large⁴⁰⁷⁷ proportion⁴⁰⁷⁸ of⁴⁰⁷⁹ the⁴⁰⁸⁰ students⁴⁰⁸¹ ate⁴⁰⁸² none⁴⁰⁸³ of⁴⁰⁸⁴ the⁴⁰⁸⁵ green⁴⁰⁸⁶ beans⁴⁰⁸⁷ (School⁴⁰⁸⁸ A⁴⁰⁸⁹ – 75⁴⁰⁹⁰%, School⁴⁰⁹¹ B⁴⁰⁹² – 66⁴⁰⁹³%).

4⁴⁰⁹⁴. 2⁴⁰⁹⁵. Lunchroom⁴⁰⁹⁶ observation⁴⁰⁹⁷ consumption⁴⁰⁹⁸

There⁴⁰⁹⁹ was⁴¹⁰⁰ a⁴¹⁰¹ significant⁴¹⁰² difference⁴¹⁰³ in⁴¹⁰⁴ the⁴¹⁰⁵ patterns⁴¹⁰⁶ of⁴¹⁰⁷ consumption⁴¹⁰⁸ of⁴¹⁰⁹ the⁴¹¹⁰ sweet⁴¹¹¹ potato⁴¹¹² fries⁴¹¹³ served⁴¹¹⁴ at⁴¹¹⁵ the⁴¹¹⁶ two⁴¹¹⁷ schools⁴¹¹⁸ at⁴¹¹⁹ the⁴¹²⁰ beginning⁴¹²¹ of⁴¹²² the⁴¹²³ year⁴¹²⁴, χ2⁴¹²⁵ (2⁴¹²⁶) = 9.6⁴¹²⁷, p⁴¹²⁸ = 0.008⁴¹²⁹, Cramer’s⁴¹³⁰ V⁴¹³¹ = 0.32⁴¹³². See⁴¹³³ Table⁴¹³⁴ 2⁴¹³⁵. While⁴¹³⁶ only⁴¹³⁷ 12.5⁴¹³⁸% of⁴¹³⁹ the⁴¹⁴⁰ students⁴¹⁴¹ ate⁴¹⁴² none⁴¹⁴³ of⁴¹⁴⁴ the⁴¹⁴⁵ sweet⁴¹⁴⁶ potato⁴¹⁴⁷ fries⁴¹⁴⁸ served⁴¹⁴⁹ at⁴¹⁵⁰ the⁴¹⁵¹ Eatiquette⁴¹⁵² lunch⁴¹⁵³ in⁴¹⁵⁴ School⁴¹⁵⁵ A⁴¹⁵⁶, almost⁴¹⁵⁷ half⁴¹⁵⁸ (46⁴¹⁵⁹%) ate⁴¹⁶⁰ none⁴¹⁶¹ at⁴¹⁶² School⁴¹⁶³ B’s⁴¹⁶⁴ traditional⁴¹⁶⁵ lunch⁴¹⁶⁶. The⁴¹⁶⁷ same⁴¹⁶⁸ pattern⁴¹⁶⁹ was⁴¹⁷⁰ seen⁴¹⁷¹ for⁴¹⁷² the⁴¹⁷³ cauliflower⁴¹⁷⁴, although⁴¹⁷⁵ the⁴¹⁷⁶ difference⁴¹⁷⁷ between⁴¹⁷⁸ the⁴¹⁷⁹ schools⁴¹⁸⁰ was⁴¹⁸¹ not⁴¹⁸² statistically⁴¹⁸³ significant⁴¹⁸⁴, χ2⁴¹⁸⁵ (2⁴¹⁸⁶) = 4.62⁴¹⁸⁷, p⁴¹⁸⁸ = 0.10⁴¹⁸⁹, Cramer’s⁴¹⁹⁰ V⁴¹⁹¹ = 0.20⁴¹⁹². See⁴¹⁹³ Table⁴¹⁹⁴ 3⁴¹⁹⁵.

Table⁴¹⁹⁶ 2⁴¹⁹⁷
Percentage⁴¹⁹⁸ (number⁴¹⁹⁹) of⁴²⁰⁰ subjects⁴²⁰¹ at⁴²⁰² School⁴²⁰³ A⁴²⁰⁴ (Eatiquette⁴²⁰⁵) and⁴²⁰⁶ School⁴²⁰⁷ B⁴²⁰⁸ (Traditional⁴²⁰⁹) who⁴²¹⁰ consumed⁴²¹¹ none⁴²¹², some⁴²¹³, or⁴²¹⁴ all⁴²¹⁵/ seconds⁴²¹⁶ of⁴²¹⁷ the⁴²¹⁸ sweet⁴²¹⁹ potato⁴²²⁰ fries⁴²²¹ at⁴²²² the⁴²²³ beginning⁴²²⁴ and⁴²²⁵ end⁴²²⁶ of⁴²²⁷ the⁴²²⁸ school⁴²²⁹ year⁴²³⁰.

Amount⁴²³¹ consumed⁴²³²Beginning⁴²³³ of⁴²³⁴ year⁴²³⁵End⁴²³⁶ of⁴²³⁷ year⁴²³⁸
School⁴²³⁹ A⁴²⁴⁰ (Eatiquette⁴²⁴¹)School⁴²⁴² B⁴²⁴³ (Traditional⁴²⁴⁴)School⁴²⁴⁵ A⁴²⁴⁶ (Eatiquette⁴²⁴⁷)School⁴²⁴⁸ B⁴²⁴⁹ (Traditional⁴²⁵⁰)
None⁴²⁵¹12.5⁴²⁵²% (3⁴²⁵³)46⁴²⁵⁴% (33⁴²⁵⁵)19⁴²⁵⁶% (5⁴²⁵⁷)61⁴²⁵⁸% (37⁴²⁵⁹)
Some⁴²⁶⁰50⁴²⁶¹% (12⁴²⁶²)37.5⁴²⁶³% (27⁴²⁶⁴)31⁴²⁶⁵% (8⁴²⁶⁶)18⁴²⁶⁷% (11⁴²⁶⁸)
All⁴²⁶⁹/seconds⁴²⁷⁰37.5⁴²⁷¹% (9⁴²⁷²)17⁴²⁷³% (12⁴²⁷⁴)50⁴²⁷⁵% (13⁴²⁷⁶)21⁴²⁷⁷% (13⁴²⁷⁸)

Table⁴²⁷⁹ 3⁴²⁸⁰
Percentage⁴²⁸¹ (number⁴²⁸²) of⁴²⁸³ subjects⁴²⁸⁴ at⁴²⁸⁵ School⁴²⁸⁶ A⁴²⁸⁷ (Eatiquette⁴²⁸⁸) and⁴²⁸⁹ School⁴²⁹⁰ B⁴²⁹¹ (Traditional⁴²⁹²) who⁴²⁹³ consumed⁴²⁹⁴ none⁴²⁹⁵, some⁴²⁹⁶, or⁴²⁹⁷ all⁴²⁹⁸/ seconds⁴²⁹⁹ of⁴³⁰⁰ the⁴³⁰¹ cauliflower⁴³⁰² at⁴³⁰³ the⁴³⁰⁴ beginning⁴³⁰⁵ and⁴³⁰⁶ end⁴³⁰⁷ of⁴³⁰⁸ the⁴³⁰⁹ school⁴³¹⁰ year⁴³¹¹. Note⁴³¹² that⁴³¹³ School⁴³¹⁴ B⁴³¹⁵ was⁴³¹⁶ not⁴³¹⁷ served⁴³¹⁸ cauliflower⁴³¹⁹ at⁴³²⁰ the⁴³²¹ end⁴³²² of⁴³²³ the⁴³²⁴ school⁴³²⁵ year⁴³²⁶.

Amount⁴³²⁷ consumed⁴³²⁸Beginning⁴³²⁹ of⁴³³⁰ year⁴³³¹End⁴³³² of⁴³³³ year⁴³³⁴
School⁴³³⁵ A⁴³³⁶ (Eatiquette⁴³³⁷)School⁴³³⁸ B⁴³³⁹ (Traditional⁴³⁴⁰)School⁴³⁴¹ A⁴³⁴² (Eatiquette⁴³⁴³)School⁴³⁴⁴ B⁴³⁴⁵ (Traditional⁴³⁴⁶)
None⁴³⁴⁷31⁴³⁴⁸% (8⁴³⁴⁹)55⁴³⁵⁰% (46⁴³⁵¹)8⁴³⁵²% (2⁴³⁵³)
Some⁴³⁵⁴38⁴³⁵⁵% (10⁴³⁵⁶)24⁴³⁵⁷% (20⁴³⁵⁸)23⁴³⁵⁹% (6⁴³⁶⁰)
All⁴³⁶¹/seconds⁴³⁶² 31⁴³⁶³% (8⁴³⁶⁴)21⁴³⁶⁵% (18⁴³⁶⁶)69⁴³⁶⁷% (18⁴³⁶⁸)

Although⁴³⁶⁹ both⁴³⁷⁰ sweet⁴³⁷¹ potato⁴³⁷² fries⁴³⁷³ and⁴³⁷⁴ cauliflower⁴³⁷⁵ were⁴³⁷⁶ served⁴³⁷⁷ at⁴³⁷⁸ both⁴³⁷⁹ schools⁴³⁸⁰ at⁴³⁸¹ the⁴³⁸² beginning⁴³⁸³ of⁴³⁸⁴ the⁴³⁸⁵ school⁴³⁸⁶ year⁴³⁸⁷, the⁴³⁸⁸ cauliflower⁴³⁸⁹ was⁴³⁹⁰ not⁴³⁹¹ served⁴³⁹² in⁴³⁹³ School⁴³⁹⁴ B⁴³⁹⁵ during⁴³⁹⁶ the⁴³⁹⁷ Traditional⁴³⁹⁸ lunch⁴³⁹⁹ at⁴⁴⁰⁰ the⁴⁴⁰¹ end⁴⁴⁰² of⁴⁴⁰³ the⁴⁴⁰⁴ school⁴⁴⁰⁵ year⁴⁴⁰⁶. We⁴⁴⁰⁷ therefore⁴⁴⁰⁸ only⁴⁴⁰⁹ have⁴⁴¹⁰ data⁴⁴¹¹ comparing⁴⁴¹² consumption⁴⁴¹³ of⁴⁴¹⁴ the⁴⁴¹⁵ sweet⁴⁴¹⁶ potato⁴⁴¹⁷ fries⁴⁴¹⁸ in⁴⁴¹⁹ the⁴⁴²⁰ two⁴⁴²¹ schools⁴⁴²² at⁴⁴²³ the⁴⁴²⁴ end⁴⁴²⁵ of⁴⁴²⁶ the⁴⁴²⁷ year⁴⁴²⁸. As⁴⁴²⁹ at⁴⁴³⁰ the⁴⁴³¹ beginning⁴⁴³² of⁴⁴³³ the⁴⁴³⁴ year⁴⁴³⁵, the⁴⁴³⁶ consumption⁴⁴³⁷ pattern⁴⁴³⁸ was⁴⁴³⁹ significantly⁴⁴⁴⁰ different⁴⁴⁴¹ between⁴⁴⁴² the⁴⁴⁴³ Eatiquette⁴⁴⁴⁴ lunch⁴⁴⁴⁵ in⁴⁴⁴⁶ School⁴⁴⁴⁷ A⁴⁴⁴⁸ and⁴⁴⁴⁹ the⁴⁴⁵⁰ traditional⁴⁴⁵¹ lunch⁴⁴⁵² in⁴⁴⁵³ School⁴⁴⁵⁴ B⁴⁴⁵⁵ at⁴⁴⁵⁶ the⁴⁴⁵⁷ end⁴⁴⁵⁸ of⁴⁴⁵⁹ the⁴⁴⁶⁰ year⁴⁴⁶¹, χ2⁴⁴⁶² (2⁴⁴⁶³) = 12.85⁴⁴⁶⁴, p⁴⁴⁶⁵ = 0.002⁴⁴⁶⁶, Cramer’s⁴⁴⁶⁷ V⁴⁴⁶⁸ = 0.38⁴⁴⁶⁹. As⁴⁴⁷⁰ at⁴⁴⁷¹ the⁴⁴⁷² beginning⁴⁴⁷³ of⁴⁴⁷⁴ the⁴⁴⁷⁵ year⁴⁴⁷⁶, fewer⁴⁴⁷⁷ students⁴⁴⁷⁸ refused⁴⁴⁷⁹ to⁴⁴⁸⁰ eat⁴⁴⁸¹ any⁴⁴⁸² of⁴⁴⁸³ the⁴⁴⁸⁴ sweet⁴⁴⁸⁵ potato⁴⁴⁸⁶ fries⁴⁴⁸⁷ when⁴⁴⁸⁸ served⁴⁴⁸⁹ in⁴⁴⁹⁰ the⁴⁴⁹¹ Eatiquette⁴⁴⁹² lunch⁴⁴⁹³ at⁴⁴⁹⁴ School⁴⁴⁹⁵ A⁴⁴⁹⁶ (19⁴⁴⁹⁷%) than⁴⁴⁹⁸ when⁴⁴⁹⁹ served⁴⁵⁰⁰ in⁴⁵⁰¹ the⁴⁵⁰² traditional⁴⁵⁰³ lunch⁴⁵⁰⁴ at⁴⁵⁰⁵ School⁴⁵⁰⁶ B⁴⁵⁰⁷ (61⁴⁵⁰⁸%). See⁴⁵⁰⁹ Table⁴⁵¹⁰ 2⁴⁵¹¹.
The⁴⁵¹² consumption⁴⁵¹³ patterns⁴⁵¹⁴ for⁴⁵¹⁵ the⁴⁵¹⁶ two⁴⁵¹⁷ schools⁴⁵¹⁸ from⁴⁵¹⁹ the⁴⁵²⁰ beginning⁴⁵²¹ to⁴⁵²² the⁴⁵²³ end⁴⁵²⁴ of⁴⁵²⁵ the⁴⁵²⁶ year⁴⁵²⁷ were⁴⁵²⁸ different⁴⁵²⁹ for⁴⁵³⁰ the⁴⁵³¹ two⁴⁵³² schools⁴⁵³³ for⁴⁵³⁴ the⁴⁵³⁵ sweet⁴⁵³⁶ potato⁴⁵³⁷ fries⁴⁵³⁸. There⁴⁵³⁹ was⁴⁵⁴⁰ a⁴⁵⁴¹ marginally⁴⁵⁴² significantly⁴⁵⁴³ different⁴⁵⁴⁴ pattern⁴⁵⁴⁵ of⁴⁵⁴⁶ consumption⁴⁵⁴⁷ of⁴⁵⁴⁸ sweet⁴⁵⁴⁹ potato⁴⁵⁵⁰ fries⁴⁵⁵¹ from⁴⁵⁵² the⁴⁵⁵³ beginning⁴⁵⁵⁴ to⁴⁵⁵⁵ the⁴⁵⁵⁶ end⁴⁵⁵⁷ of⁴⁵⁵⁸ the⁴⁵⁵⁹ year⁴⁵⁶⁰ in⁴⁵⁶¹ the⁴⁵⁶² traditional⁴⁵⁶³ lunch⁴⁵⁶⁴, χ2⁴⁵⁶⁵ (2⁴⁵⁶⁶) = 6.14⁴⁵⁶⁷, p⁴⁵⁶⁸ = 0.04⁴⁵⁶⁹, Cramer’s⁴⁵⁷⁰ V⁴⁵⁷¹ = 0.21⁴⁵⁷². By⁴⁵⁷³ the⁴⁵⁷⁴ end⁴⁵⁷⁵ of⁴⁵⁷⁶ the⁴⁵⁷⁷ year⁴⁵⁷⁸ there⁴⁵⁷⁹ were⁴⁵⁸⁰ more⁴⁵⁸¹ children⁴⁵⁸² eating⁴⁵⁸³ none⁴⁵⁸⁴ of⁴⁵⁸⁵ the⁴⁵⁸⁶ fries⁴⁵⁸⁷ (61⁴⁵⁸⁸%) than⁴⁵⁸⁹ at⁴⁵⁹⁰ the⁴⁵⁹¹ beginning⁴⁵⁹² (46⁴⁵⁹³%). There⁴⁵⁹⁴ were⁴⁵⁹⁵ also⁴⁵⁹⁶ fewer⁴⁵⁹⁷ children⁴⁵⁹⁸ eating⁴⁵⁹⁹ some⁴⁶⁰⁰ of⁴⁶⁰¹ the⁴⁶⁰² fries⁴⁶⁰³. See⁴⁶⁰⁴ Table⁴⁶⁰⁵ 2⁴⁶⁰⁶.
However⁴⁶⁰⁷, there⁴⁶⁰⁸ was⁴⁶⁰⁹ no⁴⁶¹⁰ difference⁴⁶¹¹ in⁴⁶¹² the⁴⁶¹³ pattern⁴⁶¹⁴ of⁴⁶¹⁵ consumption⁴⁶¹⁶ of⁴⁶¹⁷ the⁴⁶¹⁸ sweet⁴⁶¹⁹ potato⁴⁶²⁰ fries⁴⁶²¹ from⁴⁶²² the⁴⁶²³ beginning⁴⁶²⁴ to⁴⁶²⁵ the⁴⁶²⁶ end⁴⁶²⁷ of⁴⁶²⁸ the⁴⁶²⁹ year⁴⁶³⁰ when⁴⁶³¹ served⁴⁶³² in⁴⁶³³ the⁴⁶³⁴ Eatiquette⁴⁶³⁵ lunch⁴⁶³⁶, χ2⁴⁶³⁷ (2⁴⁶³⁸) = 1.95⁴⁶³⁹, p⁴⁶⁴⁰ = 0.38⁴⁶⁴¹, Cramer’s⁴⁶⁴² V⁴⁶⁴³ = 0.20⁴⁶⁴⁴. When⁴⁶⁴⁵ the⁴⁶⁴⁶ children⁴⁶⁴⁷ were⁴⁶⁴⁸ asked⁴⁶⁴⁹ to⁴⁶⁵⁰ rate⁴⁶⁵¹ how⁴⁶⁵² much⁴⁶⁵³ they⁴⁶⁵⁴ liked⁴⁶⁵⁵ the⁴⁶⁵⁶ sweet⁴⁶⁵⁷ potato⁴⁶⁵⁸ fries⁴⁶⁵⁹ at⁴⁶⁶⁰ the⁴⁶⁶¹ end⁴⁶⁶² of⁴⁶⁶³ the⁴⁶⁶⁴ year⁴⁶⁶⁵ 77⁴⁶⁶⁶% indicated⁴⁶⁶⁷ that⁴⁶⁶⁸ the⁴⁶⁶⁹ fries⁴⁶⁷⁰ were⁴⁶⁷¹ good⁴⁶⁷² (50⁴⁶⁷³% really⁴⁶⁷⁴ good⁴⁶⁷⁵) while⁴⁶⁷⁶ only⁴⁶⁷⁷ 23⁴⁶⁷⁸% thought⁴⁶⁷⁹ they⁴⁶⁸⁰ were⁴⁶⁸¹ bad⁴⁶⁸² (only⁴⁶⁸³ 4⁴⁶⁸⁴% really⁴⁶⁸⁵ bad⁴⁶⁸⁶.
Although⁴⁶⁸⁷ there⁴⁶⁸⁸ was⁴⁶⁸⁹ no⁴⁶⁹⁰ change⁴⁶⁹¹ in⁴⁶⁹² the⁴⁶⁹³ pattern⁴⁶⁹⁴ of⁴⁶⁹⁵ consumption⁴⁶⁹⁶ for⁴⁶⁹⁷ the⁴⁶⁹⁸ sweet⁴⁶⁹⁹ potato⁴⁷⁰⁰ fries⁴⁷⁰¹ in⁴⁷⁰² the⁴⁷⁰³ Eatiquette⁴⁷⁰⁴ lunch⁴⁷⁰⁵ over⁴⁷⁰⁶ the⁴⁷⁰⁷ course⁴⁷⁰⁸ of⁴⁷⁰⁹ the⁴⁷¹⁰ year⁴⁷¹¹, there⁴⁷¹² was⁴⁷¹³, a⁴⁷¹⁴ significant⁴⁷¹⁵ change⁴⁷¹⁶ in⁴⁷¹⁷ the⁴⁷¹⁸ pattern⁴⁷¹⁹ of⁴⁷²⁰ consumption⁴⁷²¹ for⁴⁷²² the⁴⁷²³ cauliflower⁴⁷²⁴ when⁴⁷²⁵ served⁴⁷²⁶ in⁴⁷²⁷ the⁴⁷²⁸ Eatiquette⁴⁷²⁹ lunch⁴⁷³⁰, χ2⁴⁷³¹ (2⁴⁷³²) = 8.45⁴⁷³³, p⁴⁷³⁴ < 0.015⁴⁷³⁵, Cramer’s⁴⁷³⁶ V⁴⁷³⁷ = 0.40⁴⁷³⁸. See⁴⁷³⁹ Table⁴⁷⁴⁰ 3⁴⁷⁴¹. This⁴⁷⁴² is⁴⁷⁴³ a⁴⁷⁴⁴ vegetable⁴⁷⁴⁵ that⁴⁷⁴⁶ was⁴⁷⁴⁷ new⁴⁷⁴⁸ to⁴⁷⁴⁹ the⁴⁷⁵⁰ students⁴⁷⁵¹ in⁴⁷⁵² the⁴⁷⁵³ Eatiquette⁴⁷⁵⁴ lunch⁴⁷⁵⁵. Unlike⁴⁷⁵⁶ the⁴⁷⁵⁷ sweet⁴⁷⁵⁸ potato⁴⁷⁵⁹ fries⁴⁷⁶⁰, they⁴⁷⁶¹ had⁴⁷⁶² never⁴⁷⁶³ had⁴⁷⁶⁴ cauliflower⁴⁷⁶⁵ in⁴⁷⁶⁶ an⁴⁷⁶⁷ Eatiquette⁴⁷⁶⁸ lunch⁴⁷⁶⁹ prior⁴⁷⁷⁰ to⁴⁷⁷¹ the⁴⁷⁷² observed⁴⁷⁷³ school⁴⁷⁷⁴ year⁴⁷⁷⁵. Only⁴⁷⁷⁶ 8⁴⁷⁷⁷% of⁴⁷⁷⁸ the⁴⁷⁷⁹ children⁴⁷⁸⁰ ate⁴⁷⁸¹ none⁴⁷⁸² of⁴⁷⁸³ the⁴⁷⁸⁴ cauliflower⁴⁷⁸⁵ by⁴⁷⁸⁶ the⁴⁷⁸⁷ end⁴⁷⁸⁸ of⁴⁷⁸⁹ the⁴⁷⁹⁰ year⁴⁷⁹¹ (compared⁴⁷⁹² to⁴⁷⁹³ 31⁴⁷⁹⁴% at⁴⁷⁹⁵ the⁴⁷⁹⁶ beginning⁴⁷⁹⁷). In⁴⁷⁹⁸ addition⁴⁷⁹⁹, by⁴⁸⁰⁰ the⁴⁸⁰¹ end⁴⁸⁰² of⁴⁸⁰³ the⁴⁸⁰⁴ year⁴⁸⁰⁵ 69⁴⁸⁰⁶% were⁴⁸⁰⁷ eating⁴⁸⁰⁸ all⁴⁸⁰⁹ of⁴⁸¹⁰ the⁴⁸¹¹ cauliflower⁴⁸¹² on⁴⁸¹³ their⁴⁸¹⁴ plate⁴⁸¹⁵ or⁴⁸¹⁶ taking⁴⁸¹⁷ seconds⁴⁸¹⁸ whereas⁴⁸¹⁹ at⁴⁸²⁰ the⁴⁸²¹ beginning⁴⁸²² of⁴⁸²³ the⁴⁸²⁴ year⁴⁸²⁵ only⁴⁸²⁶ 31⁴⁸²⁷% had⁴⁸²⁸ done⁴⁸²⁹ so⁴⁸³⁰. When⁴⁸³¹ the⁴⁸³² children⁴⁸³³ in⁴⁸³⁴ the⁴⁸³⁵ Eatiquette⁴⁸³⁶ lunchroom⁴⁸³⁷ were⁴⁸³⁸ asked⁴⁸³⁹ to⁴⁸⁴⁰ rate⁴⁸⁴¹ how⁴⁸⁴² much⁴⁸⁴³ they⁴⁸⁴⁴ liked⁴⁸⁴⁵ the⁴⁸⁴⁶ cauliflower⁴⁸⁴⁷ at⁴⁸⁴⁸ the⁴⁸⁴⁹ end⁴⁸⁵⁰ of⁴⁸⁵¹ the⁴⁸⁵² year⁴⁸⁵³ 81⁴⁸⁵⁴% said⁴⁸⁵⁵ it⁴⁸⁵⁶ was⁴⁸⁵⁷ “really⁴⁸⁵⁸ good”⁴⁸⁵⁹“, 15⁴⁸⁶⁰% said⁴⁸⁶¹ it⁴⁸⁶² was⁴⁸⁶³ “a⁴⁸⁶⁴ little⁴⁸⁶⁵ good⁴⁸⁶⁶“, and⁴⁸⁶⁷ only⁴⁸⁶⁸ one⁴⁸⁶⁹ child⁴⁸⁷⁰ said⁴⁸⁷¹ it⁴⁸⁷² was⁴⁸⁷³ “a⁴⁸⁷⁴ little⁴⁸⁷⁵ bad⁴⁸⁷⁶“.

4⁴⁸⁷⁷. 3⁴⁸⁷⁸. Individual⁴⁸⁷⁹ interviews⁴⁸⁸⁰

4⁴⁸⁸¹. 3⁴⁸⁸². 1⁴⁸⁸³. Vegetable⁴⁸⁸⁴ identification⁴⁸⁸⁵ accuracy⁴⁸⁸⁶

The⁴⁸⁸⁷ children⁴⁸⁸⁸ at⁴⁸⁸⁹ both⁴⁸⁹⁰ schools⁴⁸⁹¹ were⁴⁸⁹² able⁴⁸⁹³ to⁴⁸⁹⁴ accurately⁴⁸⁹⁵ identify⁴⁸⁹⁶ significantly⁴⁸⁹⁷ more⁴⁸⁹⁸ of⁴⁸⁹⁹ the⁴⁹⁰⁰ eight⁴⁹⁰¹ vegetables⁴⁹⁰² they⁴⁹⁰³ were⁴⁹⁰⁴ shown⁴⁹⁰⁵ at⁴⁹⁰⁶ the⁴⁹⁰⁷ end⁴⁹⁰⁸ of⁴⁹⁰⁹ the⁴⁹¹⁰ school⁴⁹¹¹ year⁴⁹¹² than⁴⁹¹³ at⁴⁹¹⁴ the⁴⁹¹⁵ beginning⁴⁹¹⁶ [School⁴⁹¹⁷ A⁴⁹¹⁸ – t⁴⁹¹⁹ (5⁴⁹²⁰) = 2.74⁴⁹²¹, p⁴⁹²² = 0.04⁴⁹²³; School⁴⁹²⁴ B⁴⁹²⁵ – t⁴⁹²⁶ (21⁴⁹²⁷) = 4.17⁴⁹²⁸, p⁴⁹²⁹ = 0.0004⁴⁹³⁰]. In⁴⁹³¹ both⁴⁹³² schools⁴⁹³³, vegetable⁴⁹³⁴ identification⁴⁹³⁵ accuracy⁴⁹³⁶ increased⁴⁹³⁷ by⁴⁹³⁸ about⁴⁹³⁹ one⁴⁹⁴⁰ vegetable⁴⁹⁴¹, from⁴⁹⁴² six⁴⁹⁴³ to⁴⁹⁴⁴ seven⁴⁹⁴⁵ of⁴⁹⁴⁶ the⁴⁹⁴⁷ eight⁴⁹⁴⁸ total⁴⁹⁴⁹ vegetables⁴⁹⁵⁰.

4⁴⁹⁵¹. 3⁴⁹⁵². 2⁴⁹⁵³. Hedonic⁴⁹⁵⁴ ratings⁴⁹⁵⁵ of⁴⁹⁵⁶ the⁴⁹⁵⁷ eight⁴⁹⁵⁸ vegetables⁴⁹⁵⁹

The⁴⁹⁶⁰ children⁴⁹⁶¹ in⁴⁹⁶² School⁴⁹⁶³ A⁴⁹⁶⁴ (Eatiquette⁴⁹⁶⁵) showed⁴⁹⁶⁶ a⁴⁹⁶⁷ significantly⁴⁹⁶⁸ larger⁴⁹⁶⁹ increase⁴⁹⁷⁰ in⁴⁹⁷¹ their⁴⁹⁷² hedonic⁴⁹⁷³ rating⁴⁹⁷⁴ of⁴⁹⁷⁵ the⁴⁹⁷⁶ cauliflower⁴⁹⁷⁷ (M⁴⁹⁷⁸ = 2⁴⁹⁷⁹ SD⁴⁹⁸⁰ = 1.26⁴⁹⁸¹) than⁴⁹⁸² did⁴⁹⁸³ School⁴⁹⁸⁴ B⁴⁹⁸⁵ (Traditional⁴⁹⁸⁶) children⁴⁹⁸⁷ who⁴⁹⁸⁸ showed⁴⁹⁸⁹ no⁴⁹⁹⁰ change⁴⁹⁹¹ in⁴⁹⁹² hedonic⁴⁹⁹³ rating⁴⁹⁹⁴ from⁴⁹⁹⁵ the⁴⁹⁹⁶ beginning⁴⁹⁹⁷ to⁴⁹⁹⁸ the⁴⁹⁹⁹ end⁵⁰⁰⁰ of⁵⁰⁰¹ the⁵⁰⁰² year⁵⁰⁰³ (M⁵⁰⁰⁴ = 0⁵⁰⁰⁵ SD⁵⁰⁰⁶ = 1.04⁵⁰⁰⁷), t⁵⁰⁰⁸ (25⁵⁰⁰⁹) = 3.97⁵⁰¹⁰, p⁵⁰¹¹ = 0.0005⁵⁰¹², Cohen’s⁵⁰¹³ d⁵⁰¹⁴ = 1.84⁵⁰¹⁵. See⁵⁰¹⁶ Table⁵⁰¹⁷ 4⁵⁰¹⁸. In⁵⁰¹⁹ School⁵⁰²⁰ A⁵⁰²¹ (Eatiquette⁵⁰²²) the⁵⁰²³ rating⁵⁰²⁴ of⁵⁰²⁵ the⁵⁰²⁶ cauliflower⁵⁰²⁷ went⁵⁰²⁸ from⁵⁰²⁹ a⁵⁰³⁰ mean⁵⁰³¹ of⁵⁰³² 3⁵⁰³³ (corresponding⁵⁰³⁴ to⁵⁰³⁵ “a⁵⁰³⁶ little⁵⁰³⁷ bad⁵⁰³⁸“) to⁵⁰³⁹ 1⁵⁰⁴⁰ (“really⁵⁰⁴¹ good⁵⁰⁴²“). Out⁵⁰⁴³ of⁵⁰⁴⁴ the⁵⁰⁴⁵ six⁵⁰⁴⁶ children⁵⁰⁴⁷ interviewed⁵⁰⁴⁸, five⁵⁰⁴⁹ increased⁵⁰⁵⁰ their⁵⁰⁵¹ rating⁵⁰⁵² of⁵⁰⁵³ the⁵⁰⁵⁴ cauliflower⁵⁰⁵⁵ (one⁵⁰⁵⁶ child⁵⁰⁵⁷ rated⁵⁰⁵⁸ it⁵⁰⁵⁹ as⁵⁰⁶⁰ a⁵⁰⁶¹ 1⁵⁰⁶² at⁵⁰⁶³ the⁵⁰⁶⁴ beginning⁵⁰⁶⁵ of⁵⁰⁶⁶ the⁵⁰⁶⁷ year⁵⁰⁶⁸). All⁵⁰⁶⁹ six⁵⁰⁷⁰ rated⁵⁰⁷¹ it⁵⁰⁷² as⁵⁰⁷³ 1⁵⁰⁷⁴ (“really⁵⁰⁷⁵ good⁵⁰⁷⁶”) in⁵⁰⁷⁷ the⁵⁰⁷⁸ final⁵⁰⁷⁹ interview⁵⁰⁸⁰.

Table⁵⁰⁸¹ 4⁵⁰⁸²
Mean⁵⁰⁸³ (standard⁵⁰⁸⁴ deviation⁵⁰⁸⁵) of⁵⁰⁸⁶ the⁵⁰⁸⁷ hedonic⁵⁰⁸⁸ ratings⁵⁰⁸⁹ (1⁵⁰⁹⁰ = really⁵⁰⁹¹ good⁵⁰⁹² to⁵⁰⁹³ 4⁵⁰⁹⁴ = really⁵⁰⁹⁵ bad⁵⁰⁹⁶) of⁵⁰⁹⁷ all⁵⁰⁹⁸ vegetables⁵⁰⁹⁹ at⁵¹⁰⁰ the⁵¹⁰¹ beginning⁵¹⁰² and⁵¹⁰³ the⁵¹⁰⁴ end⁵¹⁰⁵ of⁵¹⁰⁶ the⁵¹⁰⁷ year⁵¹⁰⁸ at⁵¹⁰⁹ School⁵¹¹⁰ A⁵¹¹¹ and⁵¹¹² School⁵¹¹³ B⁵¹¹⁴.

Vegetable⁵¹¹⁵School⁵¹¹⁶ A⁵¹¹⁷
(Eatiquette⁵¹¹⁸) (n⁵¹¹⁹ = 6⁵¹²⁰)
School⁵¹²¹ B⁵¹²²
(Traditional⁵¹²³) (n⁵¹²⁴ = 22⁵¹²⁵)
Beginning⁵¹²⁶End⁵¹²⁷Beginning⁵¹²⁸End⁵¹²⁹
Green⁵¹³⁰ bean⁵¹³¹ 1.42⁵¹³² (0.49⁵¹³³)1.17⁵¹³⁴ (0.41⁵¹³⁵)1.82⁵¹³⁶ (0.85⁵¹³⁷)1.64⁵¹³⁸ (0.95⁵¹³⁹)
Asparagus⁵¹⁴⁰2.33⁵¹⁴¹ (0.52⁵¹⁴²)2.33⁵¹⁴³ (1.03⁵¹⁴⁴)3⁵¹⁴⁵ (1.11⁵¹⁴⁶)3⁵¹⁴⁷ (1.15⁵¹⁴⁸)
Cauliflower⁵¹⁴⁹a3⁵¹⁵⁰ (1.26⁵¹⁵¹)1⁵¹⁵² (0⁵¹⁵³)2.5⁵¹⁵⁴ (1.06⁵¹⁵⁵)2.48⁵¹⁵⁶ (1.03⁵¹⁵⁷)
Cucumber⁵¹⁵⁸1.58⁵¹⁵⁹ (0.8⁵¹⁶⁰)1⁵¹⁶¹ (1.0⁵¹⁶²)1.71⁵¹⁶³ (1.06⁵¹⁶⁴)1.64⁵¹⁶⁵ (0.73⁵¹⁶⁶)
Sweet⁵¹⁶⁷ potato⁵¹⁶⁸2⁵¹⁶⁹ (1.26⁵¹⁷⁰)1.5⁵¹⁷¹ (0.55⁵¹⁷²)2.09⁵¹⁷³ (1.15⁵¹⁷⁴)1.77⁵¹⁷⁵ (0.87⁵¹⁷⁶)
Brussels⁵¹⁷⁷ sprouts⁵¹⁷⁸2.17⁵¹⁷⁹ (0.98⁵¹⁸⁰)2.17⁵¹⁸¹ (1.17⁵¹⁸²)2.68⁵¹⁸³ (1.17⁵¹⁸⁴)2.45⁵¹⁸⁵ (1.34⁵¹⁸⁶)
Broccoli⁵¹⁸⁷1.17⁵¹⁸⁸ (0.41⁵¹⁸⁹)1⁵¹⁹⁰ (0⁵¹⁹¹)1.5⁵¹⁹² (0.67⁵¹⁹³)1.86⁵¹⁹⁴ (0.84⁵¹⁹⁵)
Carrot⁵¹⁹⁶1.25⁵¹⁹⁷ (0.42⁵¹⁹⁸)1.17⁵¹⁹⁹ (0.41⁵²⁰⁰)1.41⁵²⁰¹ (0.67⁵²⁰²)1.64⁵²⁰³ (0.79⁵²⁰⁴)

a Indicates⁵²⁰⁵ a⁵²⁰⁶ statistically⁵²⁰⁷ significant⁵²⁰⁸ difference⁵²⁰⁹ between⁵²¹⁰ the⁵²¹¹ schools⁵²¹² in⁵²¹³ the⁵²¹⁴ degree⁵²¹⁵ of⁵²¹⁶ change⁵²¹⁷ in⁵²¹⁸ rating⁵²¹⁹ from⁵²²⁰ beginning⁵²²¹ to⁵²²² end⁵²²³ of⁵²²⁴ the⁵²²⁵ school⁵²²⁶ year⁵²²⁷.

There⁵²²⁸ were⁵²²⁹ no⁵²³⁰ other⁵²³¹ significant⁵²³² differences⁵²³³ in⁵²³⁴ the⁵²³⁵ size⁵²³⁶ of⁵²³⁷ the⁵²³⁸ shift⁵²³⁹ in⁵²⁴⁰ hedonic⁵²⁴¹ ratings⁵²⁴² for⁵²⁴³ any⁵²⁴⁴ of⁵²⁴⁵ the⁵²⁴⁶ other⁵²⁴⁷ vegetables⁵²⁴⁸ between⁵²⁴⁹ the⁵²⁵⁰ two⁵²⁵¹ schools⁵²⁵² (all⁵²⁵³ p⁵²⁵⁴ > 0.15⁵²⁵⁵). In⁵²⁵⁶ particular⁵²⁵⁷, there⁵²⁵⁸ was⁵²⁵⁹ no⁵²⁶⁰ difference⁵²⁶¹ in⁵²⁶² the⁵²⁶³ change⁵²⁶⁴ in⁵²⁶⁵ liking⁵²⁶⁶ from⁵²⁶⁷ the⁵²⁶⁸ beginning⁵²⁶⁹ to⁵²⁷⁰ the⁵²⁷¹ end⁵²⁷² of⁵²⁷³ the⁵²⁷⁴ year⁵²⁷⁵ between⁵²⁷⁶ the⁵²⁷⁷ two⁵²⁷⁸ schools⁵²⁷⁹ for⁵²⁸⁰ the⁵²⁸¹ other⁵²⁸² target⁵²⁸³ vegetable⁵²⁸⁴, sweet⁵²⁸⁵ potatoes⁵²⁸⁶, t⁵²⁸⁷ (26⁵²⁸⁸) = 0.35,⁵²⁸⁹, p⁵²⁹⁰ = 0.73⁵²⁹¹, Cohen’s⁵²⁹² d⁵²⁹³ = 0.16⁵²⁹⁴. At⁵²⁹⁵ testing⁵²⁹⁶ at⁵²⁹⁷ the⁵²⁹⁸ beginning⁵²⁹⁹ and⁵³⁰⁰ the⁵³⁰¹ end⁵³⁰² of⁵³⁰³ the⁵³⁰⁴ year⁵³⁰⁵ children⁵³⁰⁶ rated⁵³⁰⁷ the⁵³⁰⁸ sweet⁵³⁰⁹ potatoes⁵³¹⁰ as⁵³¹¹ well⁵³¹² liked⁵³¹³ in⁵³¹⁴ both⁵³¹⁵ schools⁵³¹⁶ (Eatiquette⁵³¹⁷ School⁵³¹⁸ A⁵³¹⁹ – M⁵³²⁰ pre⁵³²¹ = 2⁵³²² M⁵³²³ post⁵³²⁴ = 1.5⁵³²⁵; Traditional⁵³²⁶ School⁵³²⁷ B⁵³²⁸ – M⁵³²⁹ pre⁵³³⁰ = 2.1⁵³³¹, M⁵³³² post⁵³³³ = 18⁵³³⁴). See⁵³³⁵ Table⁵³³⁶ 4⁵³³⁷.
Most⁵³³⁸ students⁵³³⁹ had⁵³⁴⁰ previously⁵³⁴¹ eaten⁵³⁴² the⁵³⁴³ vegetables⁵³⁴⁴ offered⁵³⁴⁵. The⁵³⁴⁶ one⁵³⁴⁷ vegetable⁵³⁴⁸, which⁵³⁴⁹ many⁵³⁵⁰ children⁵³⁵¹ (13⁵³⁵² of⁵³⁵³ 28⁵³⁵⁴) indicated⁵³⁵⁵ they⁵³⁵⁶ had⁵³⁵⁷ never⁵³⁵⁸ eaten⁵³⁵⁹, was⁵³⁶⁰ Brussels⁵³⁶¹ sprouts⁵³⁶². The⁵³⁶³ hedonic⁵³⁶⁴ ratings⁵³⁶⁵ for⁵³⁶⁶ the⁵³⁶⁷ Brussels⁵³⁶⁸ sprouts⁵³⁶⁹ did⁵³⁷⁰ not⁵³⁷¹ differ⁵³⁷² between⁵³⁷³ those⁵³⁷⁴ students⁵³⁷⁵ who⁵³⁷⁶ said⁵³⁷⁷ they⁵³⁷⁸ had⁵³⁷⁹ eaten⁵³⁸⁰ them⁵³⁸¹ and⁵³⁸² those⁵³⁸³ who⁵³⁸⁴ said⁵³⁸⁵ that⁵³⁸⁶ they⁵³⁸⁷ hadn’t⁵³⁸⁸, t⁵³⁸⁹ (26⁵³⁹⁰) = 0.94⁵³⁹¹, p⁵³⁹² = 0.36⁵³⁹³, Cohen’s⁵³⁹⁴ d⁵³⁹⁵ = 0.36⁵³⁹⁶.

4⁵³⁹⁷. 3⁵³⁹⁸. 3⁵³⁹⁹. Hedonic⁵⁴⁰⁰ ranking⁵⁴⁰¹ of⁵⁴⁰² the⁵⁴⁰³ eight⁵⁴⁰⁴ vegetables⁵⁴⁰⁵

In⁵⁴⁰⁶ addition⁵⁴⁰⁷ to⁵⁴⁰⁸ showing⁵⁴⁰⁹ an⁵⁴¹⁰ increase⁵⁴¹¹ in⁵⁴¹² their⁵⁴¹³ liking⁵⁴¹⁴ ratings⁵⁴¹⁵ for⁵⁴¹⁶ the⁵⁴¹⁷ cauliflower⁵⁴¹⁸, the⁵⁴¹⁹ children⁵⁴²⁰ in⁵⁴²¹ School⁵⁴²² A⁵⁴²³ (Eatiquette⁵⁴²⁴) showed⁵⁴²⁵ a⁵⁴²⁶ significantly⁵⁴²⁷ larger⁵⁴²⁸ increase⁵⁴²⁹ in⁵⁴³⁰ their⁵⁴³¹ rankings⁵⁴³² of⁵⁴³³ the⁵⁴³⁴ cauliflower⁵⁴³⁵ (M⁵⁴³⁶ = 3.83⁵⁴³⁷, SD⁵⁴³⁸ = 2.64⁵⁴³⁹) than⁵⁴⁴⁰ did⁵⁴⁴¹ School⁵⁴⁴² B⁵⁴⁴³ (Traditional⁵⁴⁴⁴) children⁵⁴⁴⁵ who⁵⁴⁴⁶ showed⁵⁴⁴⁷ no⁵⁴⁴⁸ change⁵⁴⁴⁹ in⁵⁴⁵⁰ ranking⁵⁴⁵¹ of⁵⁴⁵² the⁵⁴⁵³ cauliflower⁵⁴⁵⁴ (M⁵⁴⁵⁵ = −0.09⁵⁴⁵⁶, SD⁵⁴⁵⁷ = 2.41⁵⁴⁵⁸) from⁵⁴⁵⁹ the⁵⁴⁶⁰ beginning⁵⁴⁶¹ to⁵⁴⁶² the⁵⁴⁶³ end⁵⁴⁶⁴ of⁵⁴⁶⁵ the⁵⁴⁶⁶ year⁵⁴⁶⁷, t⁵⁴⁶⁸ (26⁵⁴⁶⁹) = 3.46⁵⁴⁷⁰, p⁵⁴⁷¹ = 0.002⁵⁴⁷², Cohen’s⁵⁴⁷³ d⁵⁴⁷⁴ = 1.60⁵⁴⁷⁵. In⁵⁴⁷⁶ School⁵⁴⁷⁷ A⁵⁴⁷⁸ (Eatiquette⁵⁴⁷⁹, the⁵⁴⁸⁰ children’s⁵⁴⁸¹ ranking⁵⁴⁸² of⁵⁴⁸³ the⁵⁴⁸⁴ cauliflower⁵⁴⁸⁵ went⁵⁴⁸⁶ from⁵⁴⁸⁷ a⁵⁴⁸⁸ mean⁵⁴⁸⁹ rank⁵⁴⁹⁰ of⁵⁴⁹¹ 6.7⁵⁴⁹² at⁵⁴⁹³ the⁵⁴⁹⁴ beginning⁵⁴⁹⁵ of⁵⁴⁹⁶ the⁵⁴⁹⁷ year⁵⁴⁹⁸ to⁵⁴⁹⁹ 2.8⁵⁵⁰⁰ at⁵⁵⁰¹ the⁵⁵⁰² end⁵⁵⁰³. See⁵⁵⁰⁴ Table⁵⁵⁰⁵ 5⁵⁵⁰⁶.

Table⁵⁵⁰⁷ 5⁵⁵⁰⁸
Mean⁵⁵⁰⁹ (standard⁵⁵¹⁰ deviation⁵⁵¹¹) of⁵⁵¹² the⁵⁵¹³ ranking⁵⁵¹⁴ (1⁵⁵¹⁵ = most⁵⁵¹⁶ liked⁵⁵¹⁷ to⁵⁵¹⁸ 8⁵⁵¹⁹ = least⁵⁵²⁰ liked⁵⁵²¹) of⁵⁵²² all⁵⁵²³ vegetables⁵⁵²⁴ at⁵⁵²⁵ the⁵⁵²⁶ beginning⁵⁵²⁷ and⁵⁵²⁸ the⁵⁵²⁹ end⁵⁵³⁰ of⁵⁵³¹ the⁵⁵³² year⁵⁵³³ at⁵⁵³⁴ School⁵⁵³⁵ A⁵⁵³⁶ and⁵⁵³⁷ School⁵⁵³⁸ B⁵⁵³⁹.

Vegetable⁵⁵⁴⁰School⁵⁵⁴¹ A⁵⁵⁴²
(Eatiquette⁵⁵⁴³) (n⁵⁵⁴⁴ = 6⁵⁵⁴⁵)
School⁵⁵⁴⁶ B⁵⁵⁴⁷
(Traditional⁵⁵⁴⁸) (n⁵⁵⁴⁹ = 22⁵⁵⁵⁰)
Beginning⁵⁵⁵¹End⁵⁵⁵²Beginning⁵⁵⁵³End⁵⁵⁵⁴
Green⁵⁵⁵⁵ bean⁵⁵⁵⁶3.5⁵⁵⁵⁷ (1.87⁵⁵⁵⁸)3.33⁵⁵⁵⁹ (1.97⁵⁵⁶⁰)4.27⁵⁵⁶¹ (1.80⁵⁵⁶²)3.82⁵⁵⁶³ (1.92⁵⁵⁶⁴)
Asparagus⁵⁵⁶⁵5.83⁵⁵⁶⁶ (1.47⁵⁵⁶⁷)7.17⁵⁵⁶⁸ (0.75⁵⁵⁶⁹)6.36⁵⁵⁷⁰ (2.17⁵⁵⁷¹)6.50⁵⁵⁷² (1.94⁵⁵⁷³)
Cauliflower⁵⁵⁷⁴a6.67⁵⁵⁷⁵ (2.42⁵⁵⁷⁶)2.83⁵⁵⁷⁷ (2.14⁵⁵⁷⁸)5.32⁵⁵⁷⁹ (2.17⁵⁵⁸⁰)5.41⁵⁵⁸¹ (1.84⁵⁵⁸²)
Cucumber⁵⁵⁸³3.83⁵⁵⁸⁴ (1.94⁵⁵⁸⁵)3.33⁵⁵⁸⁶ (1.37⁵⁵⁸⁷)3.77⁵⁵⁸⁸ (2.41⁵⁵⁸⁹)3.5⁵⁵⁹⁰ (1.99⁵⁵⁹¹)
Sweet⁵⁵⁹² potato⁵⁵⁹³4.67⁵⁵⁹⁴ (2.25⁵⁵⁹⁵)5.17⁵⁵⁹⁶ (2.79⁵⁵⁹⁷)4.09⁵⁵⁹⁸ (2.35⁵⁵⁹⁹)4.04⁵⁶⁰⁰ (2.44⁵⁶⁰¹)
Brussels⁵⁶⁰² sprouts⁵⁶⁰³6.33⁵⁶⁰⁴ (1.63⁵⁶⁰⁵)6.33⁵⁶⁰⁶ (2.25⁵⁶⁰⁷)5.82⁵⁶⁰⁸ (2.02⁵⁶⁰⁹)4.91⁵⁶¹⁰ (2.45⁵⁶¹¹)
Broccoli⁵⁶¹²2.33⁵⁶¹³ (1.21⁵⁶¹⁴)3.83⁵⁶¹⁵ (1.60⁵⁶¹⁶)3.14⁵⁶¹⁷ (1.28⁵⁶¹⁸)4.00⁵⁶¹⁹ (1.90⁵⁶²⁰)
Carrot⁵⁶²¹2.83⁵⁶²² (1.83⁵⁶²³)4.00⁵⁶²⁴ (1.90⁵⁶²⁵)3.23⁵⁶²⁶ (1.92⁵⁶²⁷)3.82⁵⁶²⁸ (2.42⁵⁶²⁹)

aIndicates⁵⁶³⁰ a⁵⁶³¹ statistically⁵⁶³² significant⁵⁶³³ difference⁵⁶³⁴ between⁵⁶³⁵ the⁵⁶³⁶ schools⁵⁶³⁷ in⁵⁶³⁸ the⁵⁶³⁹ degree⁵⁶⁴⁰ of⁵⁶⁴¹ change⁵⁶⁴² in⁵⁶⁴³ ranking⁵⁶⁴⁴ from⁵⁶⁴⁵ beginning⁵⁶⁴⁶ to⁵⁶⁴⁷ end⁵⁶⁴⁸ of⁵⁶⁴⁹ the⁵⁶⁵⁰ school⁵⁶⁵¹ year⁵⁶⁵².

As⁵⁶⁵³ expected⁵⁶⁵⁴, there⁵⁶⁵⁵ were⁵⁶⁵⁶ no⁵⁶⁵⁷ other⁵⁶⁵⁸ significant⁵⁶⁵⁹ differences⁵⁶⁶⁰ in⁵⁶⁶¹ the⁵⁶⁶² size⁵⁶⁶³ of⁵⁶⁶⁴ the⁵⁶⁶⁵ shift⁵⁶⁶⁶ in⁵⁶⁶⁷ rankings⁵⁶⁶⁸ for⁵⁶⁶⁹ any⁵⁶⁷⁰ of⁵⁶⁷¹ the⁵⁶⁷² other⁵⁶⁷³ vegetables⁵⁶⁷⁴ between⁵⁶⁷⁵ the⁵⁶⁷⁶ two⁵⁶⁷⁷ schools⁵⁶⁷⁸ (all⁵⁶⁷⁹ p⁵⁶⁸⁰ > 025⁵⁶⁸¹). In⁵⁶⁸² particular⁵⁶⁸³, there⁵⁶⁸⁴ was⁵⁶⁸⁵ no⁵⁶⁸⁶ difference⁵⁶⁸⁷ in⁵⁶⁸⁸ the⁵⁶⁸⁹ change⁵⁶⁹⁰ in⁵⁶⁹¹ ranking⁵⁶⁹² from⁵⁶⁹³ the⁵⁶⁹⁴ beginning⁵⁶⁹⁵ to⁵⁶⁹⁶ the⁵⁶⁹⁷ end⁵⁶⁹⁸ of⁵⁶⁹⁹ the⁵⁷⁰⁰ year⁵⁷⁰¹ between⁵⁷⁰² the⁵⁷⁰³ two⁵⁷⁰⁴ schools⁵⁷⁰⁵ for⁵⁷⁰⁶ the⁵⁷⁰⁷ other⁵⁷⁰⁸ target⁵⁷⁰⁹ vegetable⁵⁷¹⁰, sweet⁵⁷¹¹ potatoes⁵⁷¹², t⁵⁷¹³ (26⁵⁷¹⁴) = 0.32⁵⁷¹⁵, p⁵⁷¹⁶ = 0.75⁵⁷¹⁷, Cohen’s⁵⁷¹⁸ d⁵⁷¹⁹ = 0.15⁵⁷²⁰. See⁵⁷²¹ Table⁵⁷²² 5⁵⁷²³.

5⁵⁷²⁴. Discussion⁵⁷²⁵

The⁵⁷²⁶ chef⁵⁷²⁷-involved⁵⁷²⁸ school⁵⁷²⁹ lunch⁵⁷³⁰ (Eatiquette⁵⁷³¹) resulted⁵⁷³² in⁵⁷³³ greater⁵⁷³⁴ consumption⁵⁷³⁵ of⁵⁷³⁶ the⁵⁷³⁷ target⁵⁷³⁸ vegetables⁵⁷³⁹ at⁵⁷⁴⁰ both⁵⁷⁴¹ the⁵⁷⁴² beginning⁵⁷⁴³ of⁵⁷⁴⁴ the⁵⁷⁴⁵ year⁵⁷⁴⁶ and⁵⁷⁴⁷ the⁵⁷⁴⁸ end⁵⁷⁴⁹ of⁵⁷⁵⁰ the⁵⁷⁵¹ year⁵⁷⁵². The⁵⁷⁵³ greater⁵⁷⁵⁴ consumption⁵⁷⁵⁵ of⁵⁷⁵⁶ the⁵⁷⁵⁷ target⁵⁷⁵⁸ vegetables⁵⁷⁵⁹ at⁵⁷⁶⁰ the⁵⁷⁶¹ beginning⁵⁷⁶² of⁵⁷⁶³ the⁵⁷⁶⁴ year⁵⁷⁶⁵ (only⁵⁷⁶⁶ significant⁵⁷⁶⁷ for⁵⁷⁶⁸ the⁵⁷⁶⁹ sweet⁵⁷⁷⁰ potato⁵⁷⁷¹ fries⁵⁷⁷²) in⁵⁷⁷³ the⁵⁷⁷⁴ chef⁵⁷⁷⁵-involved⁵⁷⁷⁶ Eatiquette⁵⁷⁷⁷ lunch⁵⁷⁷⁸ suggests⁵⁷⁷⁹ that⁵⁷⁸⁰ some⁵⁷⁸¹ factor(s)⁵⁷⁸² of⁵⁷⁸³ the⁵⁷⁸⁴ Eatiquette⁵⁷⁸⁵ meal⁵⁷⁸⁶ increases⁵⁷⁸⁷ initial⁵⁷⁸⁸ consumption⁵⁷⁸⁹. Since⁵⁷⁹⁰ no⁵⁷⁹¹ difference⁵⁷⁹² in⁵⁷⁹³ green⁵⁷⁹⁴ bean⁵⁷⁹⁵ consumption⁵⁷⁹⁶ was⁵⁷⁹⁷ seen⁵⁷⁹⁸ between⁵⁷⁹⁹ the⁵⁸⁰⁰ same⁵⁸⁰¹ children⁵⁸⁰² in⁵⁸⁰³ the⁵⁸⁰⁴ same⁵⁸⁰⁵ two⁵⁸⁰⁶ schools⁵⁸⁰⁷ during⁵⁸⁰⁸ days⁵⁸⁰⁹ when⁵⁸¹⁰ the⁵⁸¹¹ Eatiquette⁵⁸¹² lunch⁵⁸¹³ was⁵⁸¹⁴ not⁵⁸¹⁵ served⁵⁸¹⁶ in⁵⁸¹⁷ School⁵⁸¹⁸ A⁵⁸¹⁹, it⁵⁸²⁰ appears⁵⁸²¹ that⁵⁸²² some⁵⁸²³ aspect⁵⁸²⁴ of⁵⁸²⁵ the⁵⁸²⁶ Eatiquette⁵⁸²⁷ meal⁵⁸²⁸ service⁵⁸²⁹, rather⁵⁸³⁰ than⁵⁸³¹ differences⁵⁸³² in⁵⁸³³ some⁵⁸³⁴ other⁵⁸³⁵ factor⁵⁸³⁶ at⁵⁸³⁷ the⁵⁸³⁸ schools⁵⁸³⁹, is⁵⁸⁴⁰ responsible⁵⁸⁴¹ for⁵⁸⁴² the⁵⁸⁴³ children⁵⁸⁴⁴ eating⁵⁸⁴⁵ more⁵⁸⁴⁶ vegetables⁵⁸⁴⁷. Although⁵⁸⁴⁸ there⁵⁸⁴⁹ are⁵⁸⁵⁰ many⁵⁸⁵¹ aspects⁵⁸⁵² of⁵⁸⁵³ the⁵⁸⁵⁴ program⁵⁸⁵⁵ that⁵⁸⁵⁶ could⁵⁸⁵⁷ be⁵⁸⁵⁸ responsible⁵⁸⁵⁹ for⁵⁸⁶⁰ this⁵⁸⁶¹ initially⁵⁸⁶² greater⁵⁸⁶³ consumption⁵⁸⁶⁴, we⁵⁸⁶⁵ suspect⁵⁸⁶⁶ that⁵⁸⁶⁷ the⁵⁸⁶⁸ palatability⁵⁸⁶⁹ of⁵⁸⁷⁰ the⁵⁸⁷¹ food⁵⁸⁷² is⁵⁸⁷³ one⁵⁸⁷⁴ primary⁵⁸⁷⁵ driver⁵⁸⁷⁶ as⁵⁸⁷⁷ found⁵⁸⁷⁸ in⁵⁸⁷⁹ the⁵⁸⁸⁰ studies⁵⁸⁸¹ of⁵⁸⁸² Cohen⁵⁸⁸³ et⁵⁸⁸⁴ al⁵⁸⁸⁵. (2012⁵⁸⁸⁶) and⁵⁸⁸⁷ Cohen⁵⁸⁸⁸ et⁵⁸⁸⁹ al⁵⁸⁹⁰. (2015⁵⁸⁹¹).
While⁵⁸⁹² the⁵⁸⁹³ amount⁵⁸⁹⁴ of⁵⁸⁹⁵ cauliflower⁵⁸⁹⁶ consumed⁵⁸⁹⁷ by⁵⁸⁹⁸ children⁵⁸⁹⁹ in⁵⁹⁰⁰ the⁵⁹⁰¹ Eatiquette⁵⁹⁰² school⁵⁹⁰³ was⁵⁹⁰⁴ a⁵⁹⁰⁵ bit⁵⁹⁰⁶ higher⁵⁹⁰⁷ than⁵⁹⁰⁸ in⁵⁹⁰⁹ the⁵⁹¹⁰ school⁵⁹¹¹ serving⁵⁹¹² the⁵⁹¹³ traditional⁵⁹¹⁴ lunch⁵⁹¹⁵ when⁵⁹¹⁶ initially⁵⁹¹⁷ served⁵⁹¹⁸, the⁵⁹¹⁹ amount⁵⁹²⁰ consumed⁵⁹²¹ increased⁵⁹²² significantly⁵⁹²³ over⁵⁹²⁴ the⁵⁹²⁵ course⁵⁹²⁶ of⁵⁹²⁷ the⁵⁹²⁸ year⁵⁹²⁹. Also⁵⁹³⁰, the⁵⁹³¹ children⁵⁹³² in⁵⁹³³ the⁵⁹³⁴ Eatiquette⁵⁹³⁵ program⁵⁹³⁶ showed⁵⁹³⁷ an⁵⁹³⁸ increase⁵⁹³⁹ in⁵⁹⁴⁰ liking⁵⁹⁴¹ and⁵⁹⁴² ranking⁵⁹⁴³ of⁵⁹⁴⁴ cauliflower⁵⁹⁴⁵ from⁵⁹⁴⁶ the⁵⁹⁴⁷ beginning⁵⁹⁴⁸ to⁵⁹⁴⁹ the⁵⁹⁵⁰ end⁵⁹⁵¹ of⁵⁹⁵² the⁵⁹⁵³ school⁵⁹⁵⁴ year⁵⁹⁵⁵ whereas⁵⁹⁵⁶ no⁵⁹⁵⁷ such⁵⁹⁵⁸ increases⁵⁹⁵⁹ occurred⁵⁹⁶⁰ among⁵⁹⁶¹ the⁵⁹⁶² children⁵⁹⁶³ eating⁵⁹⁶⁴ the⁵⁹⁶⁵ traditional⁵⁹⁶⁶ meal⁵⁹⁶⁷. These⁵⁹⁶⁸ results⁵⁹⁶⁹ suggest⁵⁹⁷⁰ that⁵⁹⁷¹ the⁵⁹⁷² longer⁵⁹⁷³-term⁵⁹⁷⁴ effects⁵⁹⁷⁵ are⁵⁹⁷⁶ not⁵⁹⁷⁷ entirely⁵⁹⁷⁸ the⁵⁹⁷⁹ result⁵⁹⁸⁰ of⁵⁹⁸¹ the⁵⁹⁸² palatability⁵⁹⁸³ of⁵⁹⁸⁴ the⁵⁹⁸⁵ vegetables⁵⁹⁸⁶. In⁵⁹⁸⁷ addition⁵⁹⁸⁸, we⁵⁹⁸⁹ think⁵⁹⁹⁰ that⁵⁹⁹¹ the⁵⁹⁹² mere⁵⁹⁹³ exposure⁵⁹⁹⁴ effect⁵⁹⁹⁵ was⁵⁹⁹⁶ at⁵⁹⁹⁷ work⁵⁹⁹⁸ (Birch⁵⁹⁹⁹ & Marlin⁶⁰⁰⁰, 1982⁶⁰⁰¹). Research⁶⁰⁰² has⁶⁰⁰³ shown⁶⁰⁰⁴ that⁶⁰⁰⁵ increases⁶⁰⁰⁶ in⁶⁰⁰⁷ liking⁶⁰⁰⁸ and⁶⁰⁰⁹ consumption⁶⁰¹⁰ can⁶⁰¹¹ occur⁶⁰¹² with⁶⁰¹³ as⁶⁰¹⁴ little⁶⁰¹⁵ as⁶⁰¹⁶ one⁶⁰¹⁷ exposure⁶⁰¹⁸ (Birch⁶⁰¹⁹, Gunder⁶⁰²⁰, Grimm⁶⁰²¹-Thomas⁶⁰²², & Laing⁶⁰²³, 1998⁶⁰²⁴) but⁶⁰²⁵ most⁶⁰²⁶ studies⁶⁰²⁷ use⁶⁰²⁸ five⁶⁰²⁹ to⁶⁰³⁰ 10⁶⁰³¹ exposures⁶⁰³² (see⁶⁰³³ Cooke⁶⁰³⁴, 2007⁶⁰³⁵). Our⁶⁰³⁶ target⁶⁰³⁷ vegetables⁶⁰³⁸ were⁶⁰³⁹ served⁶⁰⁴⁰ four⁶⁰⁴¹ to⁶⁰⁴² 11⁶⁰⁴³ times⁶⁰⁴⁴ in⁶⁰⁴⁵ the⁶⁰⁴⁶ lunchroom⁶⁰⁴⁷. However⁶⁰⁴⁸, unlike⁶⁰⁴⁹ most⁶⁰⁵⁰ studies⁶⁰⁵¹ of⁶⁰⁵² mere⁶⁰⁵³ exposure⁶⁰⁵⁴ where⁶⁰⁵⁵ children⁶⁰⁵⁶ are⁶⁰⁵⁷ given⁶⁰⁵⁸ a⁶⁰⁵⁹ taste⁶⁰⁶⁰ of⁶⁰⁶¹ food⁶⁰⁶² our⁶⁰⁶³ children⁶⁰⁶⁴ were⁶⁰⁶⁵ served⁶⁰⁶⁶ a⁶⁰⁶⁷ lunch⁶⁰⁶⁸-size⁶⁰⁶⁹ portion⁶⁰⁷⁰, which⁶⁰⁷¹ could⁶⁰⁷² result⁶⁰⁷³ in⁶⁰⁷⁴ multiple⁶⁰⁷⁵ tastes⁶⁰⁷⁶ This⁶⁰⁷⁷ might⁶⁰⁷⁸ facilitate⁶⁰⁷⁹ the⁶⁰⁸⁰ mere⁶⁰⁸¹ exposure⁶⁰⁸² effect⁶⁰⁸³.
Whatever⁶⁰⁸⁴ the⁶⁰⁸⁵ cause⁶⁰⁸⁶, the⁶⁰⁸⁷ increase⁶⁰⁸⁸ in⁶⁰⁸⁹ liking⁶⁰⁹⁰ for⁶⁰⁹¹ the⁶⁰⁹² cauliflower⁶⁰⁹³ in⁶⁰⁹⁴ the⁶⁰⁹⁵ Eatiquette⁶⁰⁹⁶ lunch⁶⁰⁹⁷ was⁶⁰⁹⁸ quite⁶⁰⁹⁹ dramatic⁶¹⁰⁰. Children⁶¹⁰¹ getting⁶¹⁰² the⁶¹⁰³ Eatiquette⁶¹⁰⁴ lunch⁶¹⁰⁵ indicated⁶¹⁰⁶ that⁶¹⁰⁷ the⁶¹⁰⁸ cauliflower⁶¹⁰⁹ was⁶¹¹⁰ a⁶¹¹¹ little⁶¹¹² bad⁶¹¹³ at⁶¹¹⁴ the⁶¹¹⁵ beginning⁶¹¹⁶ of⁶¹¹⁷ the⁶¹¹⁸ year⁶¹¹⁹ (prior⁶¹²⁰ to⁶¹²¹ being⁶¹²² served⁶¹²³ the⁶¹²⁴ vegetable⁶¹²⁵) and⁶¹²⁶ ranked⁶¹²⁷ it⁶¹²⁸ as⁶¹²⁹ the⁶¹³⁰ worst⁶¹³¹ of⁶¹³² the⁶¹³³ eight⁶¹³⁴ vegetables⁶¹³⁵, by⁶¹³⁶ the⁶¹³⁷ end⁶¹³⁸ of⁶¹³⁹ the⁶¹⁴⁰ year⁶¹⁴¹ its⁶¹⁴² hedonic⁶¹⁴³ rating⁶¹⁴⁴ had⁶¹⁴⁵ increased⁶¹⁴⁶ to⁶¹⁴⁷ really⁶¹⁴⁸ good⁶¹⁴⁹ and⁶¹⁵⁰ its⁶¹⁵¹ ranking⁶¹⁵² improved⁶¹⁵³ to⁶¹⁵⁴ the⁶¹⁵⁵ best⁶¹⁵⁶ vegetable⁶¹⁵⁷ out⁶¹⁵⁸ of⁶¹⁵⁹ the⁶¹⁶⁰ eight⁶¹⁶¹. Even⁶¹⁶² the⁶¹⁶³ children⁶¹⁶⁴ seemed⁶¹⁶⁵ surprised⁶¹⁶⁶ by⁶¹⁶⁷ their⁶¹⁶⁸ shift⁶¹⁶⁹ in⁶¹⁷⁰ liking⁶¹⁷¹ for⁶¹⁷² the⁶¹⁷³ cauliflower⁶¹⁷⁴. This⁶¹⁷⁵ was⁶¹⁷⁶ made⁶¹⁷⁷ clear⁶¹⁷⁸ at⁶¹⁷⁹ the⁶¹⁸⁰ beginning⁶¹⁸¹ of⁶¹⁸² the⁶¹⁸³ final⁶¹⁸⁴ cauliflower⁶¹⁸⁵ lunchroom⁶¹⁸⁶ observation⁶¹⁸⁷ of⁶¹⁸⁸ the⁶¹⁸⁹ Eatiquette⁶¹⁹⁰ lunch⁶¹⁹¹. At⁶¹⁹² that⁶¹⁹³ lunch⁶¹⁹⁴ one⁶¹⁹⁵ of⁶¹⁹⁶ the⁶¹⁹⁷ children⁶¹⁹⁸ who⁶¹⁹⁹ had⁶²⁰⁰ been⁶²⁰¹ interviewed⁶²⁰² at⁶²⁰³ the⁶²⁰⁴ beginning⁶²⁰⁵ of⁶²⁰⁶ the⁶²⁰⁷ year⁶²⁰⁸ motioned⁶²⁰⁹ to⁶²¹⁰ an⁶²¹¹ observer⁶²¹² that⁶²¹³ she⁶²¹⁴ wanted⁶²¹⁵ to⁶²¹⁶ talk⁶²¹⁷ to⁶²¹⁸ her⁶²¹⁹. The⁶²²⁰ student⁶²²¹, distressed⁶²²², said⁶²²³, When⁶²²⁴ you⁶²²⁵ asked⁶²²⁶ me⁶²²⁷ if⁶²²⁸ I⁶²²⁹ liked⁶²³⁰ cauliflower⁶²³¹ I⁶²³² said⁶²³³ I⁶²³⁴ didn’t⁶²³⁵ but⁶²³⁶ I⁶²³⁷ really⁶²³⁸ like⁶²³⁹ this⁶²⁴⁰ cauliflower⁶²⁴¹ She⁶²⁴² was⁶²⁴³ assured⁶²⁴⁴ that⁶²⁴⁵ she⁶²⁴⁶ would⁶²⁴⁷ be⁶²⁴⁸ asked⁶²⁴⁹ again⁶²⁵⁰ about⁶²⁵¹ how⁶²⁵² much⁶²⁵³ she⁶²⁵⁴ likes⁶²⁵⁵ cauliflower⁶²⁵⁶ and⁶²⁵⁷ could⁶²⁵⁸ change⁶²⁵⁹ her⁶²⁶⁰ answer⁶²⁶¹ if⁶²⁶² she⁶²⁶³ wanted⁶²⁶⁴ to⁶²⁶⁵ do⁶²⁶⁶ so⁶²⁶⁷.
Clearly⁶²⁶⁸ certain⁶²⁶⁹ aspects⁶²⁷⁰ of⁶²⁷¹ the⁶²⁷² Eatiquette⁶²⁷³ program⁶²⁷⁴ resulted⁶²⁷⁵ in⁶²⁷⁶ increased⁶²⁷⁷ tasting⁶²⁷⁸ of⁶²⁷⁹ the⁶²⁸⁰ cauliflower⁶²⁸¹ (mere⁶²⁸² exposure⁶²⁸³), which⁶²⁸⁴ led⁶²⁸⁵ to⁶²⁸⁶ increased⁶²⁸⁷ consumption⁶²⁸⁸ (resulting⁶²⁸⁹ in⁶²⁹⁰ more⁶²⁹¹ exposure⁶²⁹²) and⁶²⁹³ ultimately⁶²⁹⁴ increased⁶²⁹⁵ liking⁶²⁹⁶ for⁶²⁹⁷ the⁶²⁹⁸ cauliflower⁶²⁹⁹ over⁶³⁰⁰ the⁶³⁰¹ school⁶³⁰² year⁶³⁰³. One⁶³⁰⁴ of⁶³⁰⁵ those⁶³⁰⁶ aspects⁶³⁰⁷ of⁶³⁰⁸ the⁶³⁰⁹ Eatiquette⁶³¹⁰ lunch⁶³¹¹ which⁶³¹² increases⁶³¹³ tasting⁶³¹⁴ of⁶³¹⁵ the⁶³¹⁶ vegetables⁶³¹⁷, is⁶³¹⁸ the⁶³¹⁹ encouragement⁶³²⁰ by⁶³²¹ the⁶³²² adult⁶³²³ at⁶³²⁴ the⁶³²⁵ table⁶³²⁶ to⁶³²⁷ taste⁶³²⁸ all⁶³²⁹ of⁶³³⁰ the⁶³³¹ components⁶³³² of⁶³³³ the⁶³³⁴ meal⁶³³⁵. In⁶³³⁶ a⁶³³⁷ traditional⁶³³⁸ school⁶³³⁹ lunch⁶³⁴⁰ meal⁶³⁴¹, although⁶³⁴² the⁶³⁴³ students⁶³⁴⁴ have⁶³⁴⁵ the⁶³⁴⁶ vegetable⁶³⁴⁷ on⁶³⁴⁸ their⁶³⁴⁹ plate⁶³⁵⁰ or⁶³⁵¹ tray⁶³⁵², they⁶³⁵³ do⁶³⁵⁴ not⁶³⁵⁵ have⁶³⁵⁶ to⁶³⁵⁷ eat⁶³⁵⁸ it⁶³⁵⁹ and⁶³⁶⁰ are⁶³⁶¹ generally⁶³⁶² not⁶³⁶³ encouraged⁶³⁶⁴ to⁶³⁶⁵ try⁶³⁶⁶ it⁶³⁶⁷ by⁶³⁶⁸ someone⁶³⁶⁹ involved⁶³⁷⁰ enough⁶³⁷¹ to⁶³⁷² make⁶³⁷³ sure⁶³⁷⁴ they⁶³⁷⁵ do⁶³⁷⁶. That⁶³⁷⁷ was⁶³⁷⁸ certainly⁶³⁷⁹ the⁶³⁸⁰ case⁶³⁸¹ in⁶³⁸² the⁶³⁸³ traditional⁶³⁸⁴ School⁶³⁸⁵ B⁶³⁸⁶ meal⁶³⁸⁷. If⁶³⁸⁸ the⁶³⁸⁹ children⁶³⁹⁰ never⁶³⁹¹ had⁶³⁹² eaten⁶³⁹³ a⁶³⁹⁴ particular⁶³⁹⁵ vegetable⁶³⁹⁶ or⁶³⁹⁷ if⁶³⁹⁸ they⁶³⁹⁹ had⁶⁴⁰⁰ it⁶⁴⁰¹ prepared⁶⁴⁰² in⁶⁴⁰³ an⁶⁴⁰⁴ unappetizing⁶⁴⁰⁵ way⁶⁴⁰⁶, they⁶⁴⁰⁷ would⁶⁴⁰⁸ be⁶⁴⁰⁹ hesitant⁶⁴¹⁰ to⁶⁴¹¹ eat⁶⁴¹² it⁶⁴¹³ and⁶⁴¹⁴ might⁶⁴¹⁵ well⁶⁴¹⁶ not⁶⁴¹⁷ even⁶⁴¹⁸ taste⁶⁴¹⁹ it⁶⁴²⁰. That⁶⁴²¹ is⁶⁴²² what⁶⁴²³ we⁶⁴²⁴ noticed⁶⁴²⁵ in⁶⁴²⁶ many⁶⁴²⁷ cases⁶⁴²⁸ in⁶⁴²⁹ the⁶⁴³⁰ traditional⁶⁴³¹ lunchroom⁶⁴³² where⁶⁴³³ many⁶⁴³⁴ students⁶⁴³⁵ dumped⁶⁴³⁶ the⁶⁴³⁷ vegetables⁶⁴³⁸ (and⁶⁴³⁹ much⁶⁴⁴⁰ of⁶⁴⁴¹ their⁶⁴⁴² meal⁶⁴⁴³) in⁶⁴⁴⁴ the⁶⁴⁴⁵ garbage⁶⁴⁴⁶ without⁶⁴⁴⁷ tasting⁶⁴⁴⁸ them⁶⁴⁴⁹. In⁶⁴⁵⁰ the⁶⁴⁵¹ Eatiquette⁶⁴⁵² lunch⁶⁴⁵³, encouragement⁶⁴⁵⁴ to⁶⁴⁵⁵ try⁶⁴⁵⁶ the⁶⁴⁵⁷ vegetable⁶⁴⁵⁸ led⁶⁴⁵⁹ to⁶⁴⁶⁰ tasting⁶⁴⁶¹ it⁶⁴⁶². That⁶⁴⁶³ allowed⁶⁴⁶⁴ the⁶⁴⁶⁵ children⁶⁴⁶⁶ to⁶⁴⁶⁷ find⁶⁴⁶⁸ out⁶⁴⁶⁹ that⁶⁴⁷⁰ the⁶⁴⁷¹ vegetable⁶⁴⁷² did⁶⁴⁷³ not⁶⁴⁷⁴ taste⁶⁴⁷⁵ as⁶⁴⁷⁶ bad⁶⁴⁷⁷ as⁶⁴⁷⁸ they⁶⁴⁷⁹ expected⁶⁴⁸⁰ and⁶⁴⁸¹ also⁶⁴⁸² began⁶⁴⁸³ the⁶⁴⁸⁴ exposure⁶⁴⁸⁵ process⁶⁴⁸⁶ leading⁶⁴⁸⁷ to⁶⁴⁸⁸ the⁶⁴⁸⁹ ultimate⁶⁴⁹⁰ increase⁶⁴⁹¹ in⁶⁴⁹² both⁶⁴⁹³ consumption⁶⁴⁹⁴ and⁶⁴⁹⁵ liking⁶⁴⁹⁶.
While⁶⁴⁹⁷ we⁶⁴⁹⁸ found⁶⁴⁹⁹ a⁶⁵⁰⁰ very⁶⁵⁰¹ large⁶⁵⁰² effect⁶⁵⁰³ of⁶⁵⁰⁴ the⁶⁵⁰⁵ Eatiquette⁶⁵⁰⁶ program⁶⁵⁰⁷ on⁶⁵⁰⁸ consumption⁶⁵⁰⁹ of⁶⁵¹⁰ and⁶⁵¹¹ liking⁶⁵¹² for⁶⁵¹³ the⁶⁵¹⁴ cauliflower⁶⁵¹⁵, the⁶⁵¹⁶ effect⁶⁵¹⁷ was⁶⁵¹⁸ not⁶⁵¹⁹ as⁶⁵²⁰ pronounced⁶⁵²¹ with⁶⁵²² the⁶⁵²³ sweet⁶⁵²⁴ potato⁶⁵²⁵ fries⁶⁵²⁶. Consumption⁶⁵²⁷ of⁶⁵²⁸ the⁶⁵²⁹ sweet⁶⁵³⁰ potato⁶⁵³¹ fries⁶⁵³² was⁶⁵³³ greater⁶⁵³⁴ in⁶⁵³⁵ the⁶⁵³⁶ Eatiquette⁶⁵³⁷ lunch⁶⁵³⁸ than⁶⁵³⁹ in⁶⁵⁴⁰ the⁶⁵⁴¹ traditional⁶⁵⁴² lunch⁶⁵⁴³, but⁶⁵⁴⁴ there⁶⁵⁴⁵ was⁶⁵⁴⁶ no⁶⁵⁴⁷ difference⁶⁵⁴⁸ in⁶⁵⁴⁹ liking⁶⁵⁵⁰ for⁶⁵⁵¹ sweet⁶⁵⁵² potatoes⁶⁵⁵³. Also⁶⁵⁵⁴, there⁶⁵⁵⁵ was⁶⁵⁵⁶ no⁶⁵⁵⁷ significant⁶⁵⁵⁸ increase⁶⁵⁵⁹ in⁶⁵⁶⁰ consumption⁶⁵⁶¹ of⁶⁵⁶² or⁶⁵⁶³ liking⁶⁵⁶⁴ for⁶⁵⁶⁵ the⁶⁵⁶⁶ sweet⁶⁵⁶⁷ potato⁶⁵⁶⁸ fries⁶⁵⁶⁹ over⁶⁵⁷⁰ the⁶⁵⁷¹ course⁶⁵⁷² of⁶⁵⁷³ the⁶⁵⁷⁴ year⁶⁵⁷⁵ in⁶⁵⁷⁶ the⁶⁵⁷⁷ Eatiquette⁶⁵⁷⁸ lunch⁶⁵⁷⁹. The⁶⁵⁸⁰ failure⁶⁵⁸¹ to⁶⁵⁸² see⁶⁵⁸³ an⁶⁵⁸⁴ increase⁶⁵⁸⁵ in⁶⁵⁸⁶ any⁶⁵⁸⁷ of⁶⁵⁸⁸ the⁶⁵⁸⁹ measures⁶⁵⁹⁰ for⁶⁵⁹¹ this⁶⁵⁹² vegetable⁶⁵⁹³ in⁶⁵⁹⁴ the⁶⁵⁹⁵ Eatiquette⁶⁵⁹⁶ lunch⁶⁵⁹⁷ is⁶⁵⁹⁸ most⁶⁵⁹⁹ likely⁶⁶⁰⁰ due⁶⁶⁰¹, in⁶⁶⁰² part⁶⁶⁰³, to⁶⁶⁰⁴ the⁶⁶⁰⁵ fact⁶⁶⁰⁶ that⁶⁶⁰⁷ this⁶⁶⁰⁸ vegetable⁶⁶⁰⁹ was⁶⁶¹⁰ not⁶⁶¹¹ novel⁶⁶¹². The⁶⁶¹³ children⁶⁶¹⁴ had⁶⁶¹⁵ eaten⁶⁶¹⁶ sweet⁶⁶¹⁷ potato⁶⁶¹⁸ fries⁶⁶¹⁹ in⁶⁶²⁰ previous⁶⁶²¹ years⁶⁶²² so⁶⁶²³ that⁶⁶²⁴ vegetable⁶⁶²⁵ was⁶⁶²⁶ as⁶⁶²⁷ well⁶⁶²⁸-liked⁶⁶²⁹ as⁶⁶³⁰ it⁶⁶³¹ was⁶⁶³² going⁶⁶³³ to⁶⁶³⁴ be⁶⁶³⁵. It⁶⁶³⁶ should⁶⁶³⁷ be⁶⁶³⁸ noted⁶⁶³⁹ that⁶⁶⁴⁰ the⁶⁶⁴¹ high⁶⁶⁴² consumption⁶⁶⁴³ of⁶⁶⁴⁴ the⁶⁶⁴⁵ sweet⁶⁶⁴⁶ potato⁶⁶⁴⁷ fries⁶⁶⁴⁸ was⁶⁶⁴⁹ maintained⁶⁶⁵⁰ in⁶⁶⁵¹ the⁶⁶⁵² Eatiquette⁶⁶⁵³ lunch⁶⁶⁵⁴ over⁶⁶⁵⁵ the⁶⁶⁵⁶ course⁶⁶⁵⁷ of⁶⁶⁵⁸ the⁶⁶⁵⁹ year⁶⁶⁶⁰, however⁶⁶⁶¹ there⁶⁶⁶² was⁶⁶⁶³ a⁶⁶⁶⁴ decrease⁶⁶⁶⁵ in⁶⁶⁶⁶ consumption⁶⁶⁶⁷ in⁶⁶⁶⁸ the⁶⁶⁶⁹ traditional⁶⁶⁷⁰ lunch⁶⁶⁷¹ despite⁶⁶⁷² the⁶⁶⁷³ fact⁶⁶⁷⁴ that⁶⁶⁷⁵ children⁶⁶⁷⁶ in⁶⁶⁷⁷ the⁶⁶⁷⁸ traditional⁶⁶⁷⁹ lunch⁶⁶⁸⁰ received⁶⁶⁸¹ this⁶⁶⁸² vegetable⁶⁶⁸³ twice⁶⁶⁸⁴ as⁶⁶⁸⁵ often⁶⁶⁸⁶ as⁶⁶⁸⁷ those⁶⁶⁸⁸ getting⁶⁶⁸⁹ the⁶⁶⁹⁰ Eatiquette⁶⁶⁹¹ lunch⁶⁶⁹². It⁶⁶⁹³ is⁶⁶⁹⁴ possible⁶⁶⁹⁵ that⁶⁶⁹⁶ this⁶⁶⁹⁷ shift⁶⁶⁹⁸ is⁶⁶⁹⁹ due⁶⁷⁰⁰ to⁶⁷⁰¹ overexposure⁶⁷⁰² (Stang⁶⁷⁰³, 1975⁶⁷⁰⁴) since⁶⁷⁰⁵ the⁶⁷⁰⁶ children⁶⁷⁰⁷ eating⁶⁷⁰⁸ the⁶⁷⁰⁹ traditional⁶⁷¹⁰ lunch⁶⁷¹¹ had⁶⁷¹² sweet⁶⁷¹³ potato⁶⁷¹⁴ fries⁶⁷¹⁵ 11⁶⁷¹⁶ times⁶⁷¹⁷ during⁶⁷¹⁸ the⁶⁷¹⁹ year⁶⁷²⁰ and⁶⁷²¹ the⁶⁷²² children⁶⁷²³ eating⁶⁷²⁴ the⁶⁷²⁵ Eatiquette⁶⁷²⁶ lunch⁶⁷²⁷ only⁶⁷²⁸ had⁶⁷²⁹ that⁶⁷³⁰ vegetable⁶⁷³¹ five⁶⁷³² times⁶⁷³³.

5⁶⁷³⁴. 1⁶⁷³⁵. Limitations⁶⁷³⁶

Clearly⁶⁷³⁷ more⁶⁷³⁸ research⁶⁷³⁹ on⁶⁷⁴⁰ the⁶⁷⁴¹ effectiveness⁶⁷⁴² of⁶⁷⁴³ this⁶⁷⁴⁴ program⁶⁷⁴⁵ is⁶⁷⁴⁶ needed⁶⁷⁴⁷ since⁶⁷⁴⁸ the⁶⁷⁴⁹ current⁶⁷⁵⁰ study⁶⁷⁵¹ was⁶⁷⁵² only⁶⁷⁵³ able⁶⁷⁵⁴ to⁶⁷⁵⁵ test⁶⁷⁵⁶ the⁶⁷⁵⁷ change⁶⁷⁵⁸ in⁶⁷⁵⁹ consumption⁶⁷⁶⁰ for⁶⁷⁶¹ one⁶⁷⁶² novel⁶⁷⁶³ vegetable⁶⁷⁶⁴ in⁶⁷⁶⁵ one⁶⁷⁶⁶ school⁶⁷⁶⁷. Further⁶⁷⁶⁸ research⁶⁷⁶⁹ is⁶⁷⁷⁰ needed⁶⁷⁷¹ on⁶⁷⁷² more⁶⁷⁷³ vegetables⁶⁷⁷⁴, in⁶⁷⁷⁵ more⁶⁷⁷⁶ schools⁶⁷⁷⁷ with⁶⁷⁷⁸ larger⁶⁷⁷⁹ numbers⁶⁷⁸⁰ of⁶⁷⁸¹ students⁶⁷⁸², looking⁶⁷⁸³ at⁶⁷⁸⁴ changes⁶⁷⁸⁵ in⁶⁷⁸⁶ liking⁶⁷⁸⁷ and⁶⁷⁸⁸ consumption⁶⁷⁸⁹ over⁶⁷⁹⁰ time⁶⁷⁹¹ and⁶⁷⁹² focused⁶⁷⁹³ on⁶⁷⁹⁴ specific⁶⁷⁹⁵ aspects⁶⁷⁹⁶ of⁶⁷⁹⁷ the⁶⁷⁹⁸ program⁶⁷⁹⁹. It⁶⁸⁰⁰ would⁶⁸⁰¹ also⁶⁸⁰² be⁶⁸⁰³ interesting⁶⁸⁰⁴ to⁶⁸⁰⁵ test⁶⁸⁰⁶ the⁶⁸⁰⁷ Eatiquette⁶⁸⁰⁸ vegetable⁶⁸⁰⁹ preparations⁶⁸¹⁰ and⁶⁸¹¹ more⁶⁸¹² traditional⁶⁸¹³ vegetable⁶⁸¹⁴ preparations⁶⁸¹⁵ in⁶⁸¹⁶ the⁶⁸¹⁷ same⁶⁸¹⁸ children⁶⁸¹⁹ at⁶⁸²⁰ the⁶⁸²¹ same⁶⁸²² time⁶⁸²³ so⁶⁸²⁴ that⁶⁸²⁵ the⁶⁸²⁶ children⁶⁸²⁷ could⁶⁸²⁸ compare⁶⁸²⁹ the⁶⁸³⁰ two⁶⁸³¹ preparations⁶⁸³². Since⁶⁸³³ other⁶⁸³⁴ studies⁶⁸³⁵ have⁶⁸³⁶ found⁶⁸³⁷ increases⁶⁸³⁸ in⁶⁸³⁹ vegetable⁶⁸⁴⁰ consumption⁶⁸⁴¹ with⁶⁸⁴² chef⁶⁸⁴³-prepared⁶⁸⁴⁴ meals⁶⁸⁴⁵ (Cohen⁶⁸⁴⁶ et⁶⁸⁴⁷ al⁶⁸⁴⁸., 2012⁶⁸⁴⁹ and⁶⁸⁵⁰ Cohen⁶⁸⁵¹ et⁶⁸⁵² al⁶⁸⁵³., 2015⁶⁸⁵⁴) and⁶⁸⁵⁵ serving⁶⁸⁵⁶ the⁶⁸⁵⁷ fruit⁶⁸⁵⁸ as⁶⁸⁵⁹ a⁶⁸⁶⁰ separate⁶⁸⁶¹ dessert⁶⁸⁶² course⁶⁸⁶³ (Zellner⁶⁸⁶⁴ & Cobuzzi⁶⁸⁶⁵, 2016⁶⁸⁶⁶), both⁶⁸⁶⁷ components⁶⁸⁶⁸ of⁶⁸⁶⁹ the⁶⁸⁷⁰ Eatiquette⁶⁸⁷¹ lunch⁶⁸⁷², we⁶⁸⁷³ believe⁶⁸⁷⁴ that⁶⁸⁷⁵ those⁶⁸⁷⁶ two⁶⁸⁷⁷ aspects⁶⁸⁷⁸ of⁶⁸⁷⁹ the⁶⁸⁸⁰ Eatiquette⁶⁸⁸¹ program⁶⁸⁸² contribute⁶⁸⁸³ to⁶⁸⁸⁴ the⁶⁸⁸⁵ current⁶⁸⁸⁶ results⁶⁸⁸⁷. Others⁶⁸⁸⁸, such⁶⁸⁸⁹ as⁶⁸⁹⁰ the⁶⁸⁹¹ adult⁶⁸⁹² at⁶⁸⁹³ the⁶⁸⁹⁴ table⁶⁸⁹⁵ and⁶⁸⁹⁶ the⁶⁸⁹⁷ family⁶⁸⁹⁸-style⁶⁸⁹⁹ service⁶⁹⁰⁰, should⁶⁹⁰¹ be⁶⁹⁰² examined⁶⁹⁰³.
Implementing⁶⁹⁰⁴ some⁶⁹⁰⁵ but⁶⁹⁰⁶ not⁶⁹⁰⁷ all⁶⁹⁰⁸ of⁶⁹⁰⁹ the⁶⁹¹⁰ components⁶⁹¹¹ of⁶⁹¹² the⁶⁹¹³ program⁶⁹¹⁴ might⁶⁹¹⁵ be⁶⁹¹⁶ easier⁶⁹¹⁷ to⁶⁹¹⁸ realize⁶⁹¹⁹ in⁶⁹²⁰ more⁶⁹²¹ schools⁶⁹²². Many⁶⁹²³ schools⁶⁹²⁴ are⁶⁹²⁵ resistant⁶⁹²⁶ to⁶⁹²⁷ a⁶⁹²⁸ lunch⁶⁹²⁹ program⁶⁹³⁰ such⁶⁹³¹ as⁶⁹³² Eatiquette⁶⁹³³. One⁶⁹³⁴ reason⁶⁹³⁵ often⁶⁹³⁶ given⁶⁹³⁷ for⁶⁹³⁸ not⁶⁹³⁹ implementing⁶⁹⁴⁰ such⁶⁹⁴¹ a⁶⁹⁴² lunchroom⁶⁹⁴³ service⁶⁹⁴⁴ is⁶⁹⁴⁵ cost⁶⁹⁴⁶. An⁶⁹⁴⁷ Eatiquette⁶⁹⁴⁸ lunch’s⁶⁹⁴⁹ food⁶⁹⁵⁰ costs⁶⁹⁵¹ are⁶⁹⁵² the⁶⁹⁵³ same⁶⁹⁵⁴ or⁶⁹⁵⁵ only⁶⁹⁵⁶ slightly⁶⁹⁵⁷ more⁶⁹⁵⁸ per⁶⁹⁵⁹ student⁶⁹⁶⁰ ($0⁶⁹⁶¹ to⁶⁹⁶² $0.50⁶⁹⁶³ USD⁶⁹⁶⁴) than⁶⁹⁶⁵ the⁶⁹⁶⁶ average⁶⁹⁶⁷ school⁶⁹⁶⁸ lunch⁶⁹⁶⁹. Additional⁶⁹⁷⁰ costs⁶⁹⁷¹ might⁶⁹⁷² be⁶⁹⁷³ incurred⁶⁹⁷⁴ in⁶⁹⁷⁵ labor⁶⁹⁷⁶ costs⁶⁹⁷⁷ since⁶⁹⁷⁸ scratch⁶⁹⁷⁹ food⁶⁹⁸⁰ requires⁶⁹⁸¹ more⁶⁹⁸² preparation⁶⁹⁸³ and⁶⁹⁸⁴ real⁶⁹⁸⁵ plates⁶⁹⁸⁶ and⁶⁹⁸⁷ silverware⁶⁹⁸⁸ require⁶⁹⁸⁹ dishwashing⁶⁹⁹⁰. The⁶⁹⁹¹ Eatiquette⁶⁹⁹² lunch⁶⁹⁹³ program⁶⁹⁹⁴ is⁶⁹⁹⁵ run⁶⁹⁹⁶ by⁶⁹⁹⁷ a⁶⁹⁹⁸ nonprofit⁶⁹⁹⁹ that⁷⁰⁰⁰ provides⁷⁰⁰¹ training⁷⁰⁰² for⁷⁰⁰³ kitchen⁷⁰⁰⁴ staff⁷⁰⁰⁵ in⁷⁰⁰⁶ the⁷⁰⁰⁷ preparation⁷⁰⁰⁸ of⁷⁰⁰⁹ the⁷⁰¹⁰ food⁷⁰¹¹ (including⁷⁰¹² recipes⁷⁰¹³) and⁷⁰¹⁴ volunteers⁷⁰¹⁵ who⁷⁰¹⁶ help⁷⁰¹⁷ in⁷⁰¹⁸ the⁷⁰¹⁹ preparation⁷⁰²⁰ of⁷⁰²¹ the⁷⁰²² food⁷⁰²³. They⁷⁰²⁴ also⁷⁰²⁵ provide⁷⁰²⁶ recipes⁷⁰²⁷ to⁷⁰²⁸ other⁷⁰²⁹ schools⁷⁰³⁰ with⁷⁰³¹ whom⁷⁰³² they⁷⁰³³ are⁷⁰³⁴ not⁷⁰³⁵ directly⁷⁰³⁶ involved⁷⁰³⁷ for⁷⁰³⁸ a⁷⁰³⁹ small⁷⁰⁴⁰ fee⁷⁰⁴¹ on⁷⁰⁴² a⁷⁰⁴³ sliding⁷⁰⁴⁴ scale⁷⁰⁴⁵ (based⁷⁰⁴⁶ on⁷⁰⁴⁷ income⁷⁰⁴⁸ level⁷⁰⁴⁹ of⁷⁰⁵⁰ the⁷⁰⁵¹ students⁷⁰⁵² they⁷⁰⁵³ serve⁷⁰⁵⁴.
Similar⁷⁰⁵⁵ nonprofit⁷⁰⁵⁶ organizations⁷⁰⁵⁷ might⁷⁰⁵⁸ be⁷⁰⁵⁹ able⁷⁰⁶⁰ to⁷⁰⁶¹ help⁷⁰⁶² schools⁷⁰⁶³ in⁷⁰⁶⁴ other⁷⁰⁶⁵ areas⁷⁰⁶⁶ implement⁷⁰⁶⁷ similar⁷⁰⁶⁸ programs⁷⁰⁶⁹. In⁷⁰⁷⁰ addition⁷⁰⁷¹, further⁷⁰⁷² research⁷⁰⁷³ might⁷⁰⁷⁴ shed⁷⁰⁷⁵ light⁷⁰⁷⁶ on⁷⁰⁷⁷ certain⁷⁰⁷⁸ factors⁷⁰⁷⁹ in⁷⁰⁸⁰ the⁷⁰⁸¹ program⁷⁰⁸² that⁷⁰⁸³ could⁷⁰⁸⁴ be⁷⁰⁸⁵ implemented⁷⁰⁸⁶ in⁷⁰⁸⁷ a⁷⁰⁸⁸ more⁷⁰⁸⁹ traditional⁷⁰⁹⁰ lunchroom⁷⁰⁹¹ to⁷⁰⁹² increase⁷⁰⁹³ vegetable⁷⁰⁹⁴ consumption⁷⁰⁹⁵. A⁷⁰⁹⁶ little⁷⁰⁹⁷ more⁷⁰⁹⁸ cost⁷⁰⁹⁹ might⁷¹⁰⁰ be⁷¹⁰¹ worthwhile⁷¹⁰² in⁷¹⁰³ the⁷¹⁰⁴ long⁷¹⁰⁵-run⁷¹⁰⁶ if⁷¹⁰⁷ it⁷¹⁰⁸ improves⁷¹⁰⁹ people’s⁷¹¹⁰ health⁷¹¹¹.

5⁷¹¹². 2⁷¹¹³. Conclusions⁷¹¹⁴

What⁷¹¹⁵ we⁷¹¹⁶ can⁷¹¹⁷ conclude⁷¹¹⁸ from⁷¹¹⁹ this⁷¹²⁰ study⁷¹²¹ is⁷¹²² that⁷¹²³ the⁷¹²⁴ Eatiquette⁷¹²⁵ program⁷¹²⁶ resulted⁷¹²⁷ in⁷¹²⁸ increased⁷¹²⁹ consumption⁷¹³⁰ of⁷¹³¹ and⁷¹³² liking⁷¹³³ for⁷¹³⁴ vegetables⁷¹³⁵ in⁷¹³⁶ 3rd⁷¹³⁷ and⁷¹³⁸ 4th⁷¹³⁹ grade⁷¹⁴⁰ children⁷¹⁴¹. The⁷¹⁴² increased⁷¹⁴³ consumption⁷¹⁴⁴ is⁷¹⁴⁵ important⁷¹⁴⁶ for⁷¹⁴⁷ reducing⁷¹⁴⁸ food⁷¹⁴⁹ waste⁷¹⁵⁰ and⁷¹⁵¹ for⁷¹⁵² the⁷¹⁵³ short⁷¹⁵⁴-term⁷¹⁵⁵ nutrition⁷¹⁵⁶ of⁷¹⁵⁷ these⁷¹⁵⁸ students⁷¹⁵⁹. In⁷¹⁶⁰ addition⁷¹⁶¹, we⁷¹⁶² hope⁷¹⁶³ that⁷¹⁶⁴ the⁷¹⁶⁵ increase⁷¹⁶⁶ in⁷¹⁶⁷ reported⁷¹⁶⁸ liking⁷¹⁶⁹ for⁷¹⁷⁰ the⁷¹⁷¹ cauliflower⁷¹⁷² will⁷¹⁷³ increase⁷¹⁷⁴ long⁷¹⁷⁵-term⁷¹⁷⁶ cauliflower⁷¹⁷⁷ consumption⁷¹⁷⁸. If⁷¹⁷⁹ the⁷¹⁸⁰ children⁷¹⁸¹ consider⁷¹⁸² themselves⁷¹⁸³ to⁷¹⁸⁴ be⁷¹⁸⁵ individuals⁷¹⁸⁶ who⁷¹⁸⁷ like⁷¹⁸⁸ cauliflower⁷¹⁸⁹ they⁷¹⁹⁰ are⁷¹⁹¹ more⁷¹⁹² liable⁷¹⁹³ to⁷¹⁹⁴ seek⁷¹⁹⁵ it⁷¹⁹⁶ out⁷¹⁹⁷ and⁷¹⁹⁸ eat⁷¹⁹⁹ it⁷²⁰⁰ when⁷²⁰¹ it⁷²⁰² is⁷²⁰³ available⁷²⁰⁴. Unfortunately⁷²⁰⁵, if⁷²⁰⁶ a⁷²⁰⁷ child’s⁷²⁰⁸ only⁷²⁰⁹ exposure⁷²¹⁰ to⁷²¹¹ a⁷²¹² vegetable⁷²¹³ is⁷²¹⁴ in⁷²¹⁵ an⁷²¹⁶ unpalatable⁷²¹⁷ preparation⁷²¹⁸, they⁷²¹⁹ might⁷²²⁰ interpret⁷²²¹ that⁷²²² to⁷²²³ mean⁷²²⁴ that⁷²²⁵ they⁷²²⁶ don’t⁷²²⁷ like⁷²²⁸ the⁷²²⁹ vegetable⁷²³⁰ prepared⁷²³¹ in⁷²³² any⁷²³³ manner⁷²³⁴ and⁷²³⁵ never⁷²³⁶ try⁷²³⁷ it⁷²³⁸ again⁷²³⁹. We⁷²⁴⁰ think⁷²⁴¹ that⁷²⁴² the⁷²⁴³ Eatiquette⁷²⁴⁴ program⁷²⁴⁵ can⁷²⁴⁶ teach⁷²⁴⁷ the⁷²⁴⁸ child⁷²⁴⁹ that⁷²⁵⁰ there⁷²⁵¹ is⁷²⁵² not⁷²⁵³ a⁷²⁵⁴ bad⁷²⁵⁵-tasting⁷²⁵⁶ vegetable⁷²⁵⁷, just⁷²⁵⁸ a⁷²⁵⁹ bad⁷²⁶⁰ preparation⁷²⁶¹. So⁷²⁶² even⁷²⁶³ if⁷²⁶⁴ they⁷²⁶⁵ encounter⁷²⁶⁶ cauliflower⁷²⁶⁷ which⁷²⁶⁸ is⁷²⁶⁹ prepared⁷²⁷⁰ in⁷²⁷¹ such⁷²⁷² a⁷²⁷³ way⁷²⁷⁴ as⁷²⁷⁵ to⁷²⁷⁶ render⁷²⁷⁷ it⁷²⁷⁸ unpalatable⁷²⁷⁹ they⁷²⁸⁰ will⁷²⁸¹, one⁷²⁸² can⁷²⁸³ hope⁷²⁸⁴, realize⁷²⁸⁵ that⁷²⁸⁶ they⁷²⁸⁷ don’t⁷²⁸⁸ like⁷²⁸⁹ that⁷²⁹⁰ particular⁷²⁹¹ cauliflower⁷²⁹² but⁷²⁹³ do⁷²⁹⁴ like⁷²⁹⁵ cauliflower⁷²⁹⁶ prepared⁷²⁹⁷ differently⁷²⁹⁸.
While⁷²⁹⁹ more⁷³⁰⁰ research⁷³⁰¹ is⁷³⁰² needed⁷³⁰³ to⁷³⁰⁴ investigate⁷³⁰⁵ different⁷³⁰⁶ aspects⁷³⁰⁷ of⁷³⁰⁸ this⁷³⁰⁹ program⁷³¹⁰, we⁷³¹¹ think⁷³¹² that⁷³¹³ the⁷³¹⁴ adoption⁷³¹⁵ of⁷³¹⁶ such⁷³¹⁷ a⁷³¹⁸ program⁷³¹⁹ in⁷³²⁰ schools⁷³²¹ has⁷³²² the⁷³²³ potential⁷³²⁴ to⁷³²⁵ have⁷³²⁶ a⁷³²⁷ positive⁷³²⁸ impact⁷³²⁹ on⁷³³⁰ the⁷³³¹ health⁷³³² and⁷³³³ well⁷³³⁴-being⁷³³⁵ of⁷³³⁶ children⁷³³⁷ now⁷³³⁸ and⁷³³⁹ when⁷³⁴⁰ they⁷³⁴¹ are⁷³⁴² adults⁷³⁴³. This⁷³⁴⁴ is⁷³⁴⁵ particularly⁷³⁴⁶ important⁷³⁴⁷ among⁷³⁴⁸ African⁷³⁴⁹-Americans⁷³⁵⁰ who⁷³⁵¹ were⁷³⁵² the⁷³⁵³ preponderance⁷³⁵⁴ of⁷³⁵⁵ our⁷³⁵⁶ subjects⁷³⁵⁷. The⁷³⁵⁸ rate⁷³⁵⁹ of⁷³⁶⁰ obesity⁷³⁶¹ and⁷³⁶² diabetes⁷³⁶³ is⁷³⁶⁴ higher⁷³⁶⁵ in⁷³⁶⁶ this⁷³⁶⁷ population⁷³⁶⁸ than⁷³⁶⁹ in⁷³⁷⁰ the⁷³⁷¹ US⁷³⁷² population⁷³⁷³ as⁷³⁷⁴ a⁷³⁷⁵ whole⁷³⁷⁶ (Ogden⁷³⁷⁷ et⁷³⁷⁸ al⁷³⁷⁹., 2014⁷³⁸⁰). Since⁷³⁸¹ eating⁷³⁸² a⁷³⁸³ lot⁷³⁸⁴ of⁷³⁸⁵ fruits⁷³⁸⁶ and⁷³⁸⁷ vegetables⁷³⁸⁸ reduces⁷³⁸⁹ the⁷³⁹⁰ risk⁷³⁹¹ of⁷³⁹² obesity⁷³⁹³ (Field⁷³⁹⁴ et⁷³⁹⁵ al⁷³⁹⁶., 2003⁷³⁹⁷ McCrory⁷³⁹⁸ et⁷³⁹⁹ al⁷⁴⁰⁰., 1999⁷⁴⁰¹ and⁷⁴⁰² Tohill⁷⁴⁰³ et⁷⁴⁰⁴ al⁷⁴⁰⁵., 2004⁷⁴⁰⁶) and⁷⁴⁰⁷ thus⁷⁴⁰⁸ diabetes⁷⁴⁰⁹ (Ford⁷⁴¹⁰ et⁷⁴¹¹ al⁷⁴¹²., 1997⁷⁴¹³ and⁷⁴¹⁴ Golay⁷⁴¹⁵ and⁷⁴¹⁶ Ybarra⁷⁴¹⁷, 2005⁷⁴¹⁸), instituting⁷⁴¹⁹ such⁷⁴²⁰ a⁷⁴²¹ program⁷⁴²² in⁷⁴²³ the⁷⁴²⁴ schools⁷⁴²⁵ might⁷⁴²⁶ increase⁷⁴²⁷ both⁷⁴²⁸ the⁷⁴²⁹ short⁷⁴³⁰-term⁷⁴³¹ and⁷⁴³² long⁷⁴³³-term⁷⁴³⁴ health⁷⁴³⁵ of⁷⁴³⁶ the⁷⁴³⁷ children⁷⁴³⁸.
Since⁷⁴³⁹ about⁷⁴⁴⁰ a⁷⁴⁴¹ third⁷⁴⁴² of⁷⁴⁴³ the⁷⁴⁴⁴ daily⁷⁴⁴⁵ calories⁷⁴⁴⁶ of⁷⁴⁴⁷ many⁷⁴⁴⁸ children⁷⁴⁴⁹ are⁷⁴⁵⁰ eaten⁷⁴⁵¹ in⁷⁴⁵² the⁷⁴⁵³ school⁷⁴⁵⁴ (Briefel⁷⁴⁵⁵ et⁷⁴⁵⁶ al⁷⁴⁵⁷., 2009⁷⁴⁵⁸), children⁷⁴⁵⁹ in⁷⁴⁶⁰ lunch⁷⁴⁶¹ programs⁷⁴⁶² which⁷⁴⁶³ increase⁷⁴⁶⁴ consumption⁷⁴⁶⁵ of⁷⁴⁶⁶ healthy⁷⁴⁶⁷ foods⁷⁴⁶⁸ will⁷⁴⁶⁹ be⁷⁴⁷⁰ getting⁷⁴⁷¹ the⁷⁴⁷² nutrition⁷⁴⁷³ they⁷⁴⁷⁴ need⁷⁴⁷⁵ for⁷⁴⁷⁶ the⁷⁴⁷⁷ day⁷⁴⁷⁸. Unfortunately⁷⁴⁷⁹, although⁷⁴⁸⁰ the⁷⁴⁸¹ US⁷⁴⁸² school⁷⁴⁸³ lunch⁷⁴⁸⁴ program⁷⁴⁸⁵ requires⁷⁴⁸⁶ that⁷⁴⁸⁷ students⁷⁴⁸⁸ put⁷⁴⁸⁹ a⁷⁴⁹⁰ nutritious⁷⁴⁹¹ meal⁷⁴⁹² on⁷⁴⁹³ their⁷⁴⁹⁴ plate⁷⁴⁹⁵ (Nutrition⁷⁴⁹⁶ Standards⁷⁴⁹⁷, 2012⁷⁴⁹⁸), that⁷⁴⁹⁹ doesn’t⁷⁵⁰⁰ mean⁷⁵⁰¹ that⁷⁵⁰² they⁷⁵⁰³ will⁷⁵⁰⁴ eat⁷⁵⁰⁵ it⁷⁵⁰⁶. If⁷⁵⁰⁷ they⁷⁵⁰⁸ don’t⁷⁵⁰⁹ eat⁷⁵¹⁰ it⁷⁵¹¹, the⁷⁵¹² only⁷⁵¹³ outcome⁷⁵¹⁴ of⁷⁵¹⁵ having⁷⁵¹⁶ them⁷⁵¹⁷ put⁷⁵¹⁸ nutritious⁷⁵¹⁹ food⁷⁵²⁰ on⁷⁵²¹ their⁷⁵²² plate⁷⁵²³ is⁷⁵²⁴ an⁷⁵²⁵ increase⁷⁵²⁶ in⁷⁵²⁷ food⁷⁵²⁸ waste⁷⁵²⁹. It⁷⁵³⁰ does⁷⁵³¹ not⁷⁵³² by⁷⁵³³ itself⁷⁵³⁴ increase⁷⁵³⁵ the⁷⁵³⁶ health⁷⁵³⁷ of⁷⁵³⁸ the⁷⁵³⁹ children⁷⁵⁴⁰ now⁷⁵⁴¹, or⁷⁵⁴² later⁷⁵⁴³ when⁷⁵⁴⁴ they⁷⁵⁴⁵ are⁷⁵⁴⁶ adults⁷⁵⁴⁷.

Acknowledgments⁷⁵⁴⁸
This⁷⁵⁴⁹ project⁷⁵⁵⁰ was⁷⁵⁵¹ conducted⁷⁵⁵² while⁷⁵⁵³ Debra⁷⁵⁵⁴ Zellner⁷⁵⁵⁵ was⁷⁵⁵⁶ on⁷⁵⁵⁷ sabbatical⁷⁵⁵⁸ leave⁷⁵⁵⁹ from⁷⁵⁶⁰ Montclair⁷⁵⁶¹ State⁷⁵⁶² University⁷⁵⁶³ and⁷⁵⁶⁴ working⁷⁵⁶⁵ as⁷⁵⁶⁶ a⁷⁵⁶⁷ Visiting⁷⁵⁶⁸ Scientist⁷⁵⁶⁹ at⁷⁵⁷⁰ the⁷⁵⁷¹ Monell⁷⁵⁷² Chemical⁷⁵⁷³ Senses⁷⁵⁷⁴ Center⁷⁵⁷⁵ in⁷⁵⁷⁶ Philadelphia⁷⁵⁷⁷, PA⁷⁵⁷⁸, USA⁷⁵⁷⁹.
The⁷⁵⁸⁰ authors⁷⁵⁸¹ would⁷⁵⁸² like⁷⁵⁸³ to⁷⁵⁸⁴ thank⁷⁵⁸⁵ the⁷⁵⁸⁶ Barra⁷⁵⁸⁷ Foundation⁷⁵⁸⁸ and⁷⁵⁸⁹ the⁷⁵⁹⁰ Vetri⁷⁵⁹¹ Foundation⁷⁵⁹² for⁷⁵⁹³ Children⁷⁵⁹⁴ (now⁷⁵⁹⁵ Vetri⁷⁵⁹⁶ Community⁷⁵⁹⁷ Partnership⁷⁵⁹⁸) for⁷⁵⁹⁹ their⁷⁶⁰⁰ support⁷⁶⁰¹ of⁷⁶⁰² this⁷⁶⁰³ study⁷⁶⁰⁴. In⁷⁶⁰⁵ particular⁷⁶⁰⁶, we⁷⁶⁰⁷ would⁷⁶⁰⁸ like⁷⁶⁰⁹ to⁷⁶¹⁰ thank⁷⁶¹¹ Kelly⁷⁶¹² Herrenkohl⁷⁶¹³, Jennifer⁷⁶¹⁴ Wheeler⁷⁶¹⁵, Sarah⁷⁶¹⁶ Cullen⁷⁶¹⁷, Carla⁷⁶¹⁸ Norelli⁷⁶¹⁹, and⁷⁶²⁰ Tia⁷⁶²¹ McDonald⁷⁶²². We⁷⁶²³ would⁷⁶²⁴ also⁷⁶²⁵ like⁷⁶²⁶ to⁷⁶²⁷ thank⁷⁶²⁸ Eric⁷⁶²⁹ Jones⁷⁶³⁰, Beth⁷⁶³¹ Vaccaro⁷⁶³², Heather⁷⁶³³ Lewis⁷⁶³⁴, David⁷⁶³⁵ Davis⁷⁶³⁶, Francine⁷⁶³⁷ Alston⁷⁶³⁸, and⁷⁶³⁹ Chrystina⁷⁶⁴⁰ Volcy⁷⁶⁴¹ at⁷⁶⁴² the⁷⁶⁴³ Community⁷⁶⁴⁴ Partnership⁷⁶⁴⁵ School⁷⁶⁴⁶ in⁷⁶⁴⁷ Philadelphia⁷⁶⁴⁸ and⁷⁶⁴⁹ Jamal⁷⁶⁵⁰ Elliott⁷⁶⁵¹ at⁷⁶⁵² the⁷⁶⁵³ Wissahickon⁷⁶⁵⁴ Charter⁷⁶⁵⁵ School⁷⁶⁵⁶ for⁷⁶⁵⁷ allowing⁷⁶⁵⁸ us⁷⁶⁵⁹ to⁷⁶⁶⁰ do⁷⁶⁶¹ research⁷⁶⁶² in⁷⁶⁶³ their⁷⁶⁶⁴ school’s⁷⁶⁶⁵ lunchroom⁷⁶⁶⁶. We⁷⁶⁶⁷ also⁷⁶⁶⁸ thank⁷⁶⁶⁹ Carol⁷⁶⁷⁰ Christensen⁷⁶⁷¹, Jenifer⁷⁶⁷² Trachtman⁷⁶⁷³ and⁷⁶⁷⁴ Gary⁷⁶⁷⁵ Beauchamp⁷⁶⁷⁶ at⁷⁶⁷⁷ the⁷⁶⁷⁸ Monell⁷⁶⁷⁹ Chemical⁷⁶⁸⁰ Senses⁷⁶⁸¹ Center⁷⁶⁸² for⁷⁶⁸³ making⁷⁶⁸⁴ this⁷⁶⁸⁵ project⁷⁶⁸⁶ possible⁷⁶⁸⁷, Rebecca⁷⁶⁸⁸ Patenaude⁷⁶⁸⁹ for⁷⁶⁹⁰ her⁷⁶⁹¹ valuable⁷⁶⁹² assistance⁷⁶⁹³ with⁷⁶⁹⁴ data⁷⁶⁹⁵ collection⁷⁶⁹⁶, Scott⁷⁶⁹⁷ Parker⁷⁶⁹⁸ for⁷⁶⁹⁹ his⁷⁷⁰⁰ statistical⁷⁷⁰¹ advice⁷⁷⁰² and⁷⁷⁰³ helpful⁷⁷⁰⁴ comments⁷⁷⁰⁵ on⁷⁷⁰⁶ this⁷⁷⁰⁷ manuscript⁷⁷⁰⁸ and⁷⁷⁰⁹ Richard⁷⁷¹⁰ Popper⁷⁷¹¹ for⁷⁷¹² consulting⁷⁷¹³ on⁷⁷¹⁴ the⁷⁷¹⁵ hedonic⁷⁷¹⁶ face⁷⁷¹⁷ scale⁷⁷¹⁸.

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⁹⁶Degerli, H. E., Altinbas, K., Delice, M., & Kurt, E. (2014). Four bipolar cases treated with quetiapine during pregnancy. Klinik Psikofarmakoloji Bülteni / Bulletin of Clinical Psychopharmacology, 24(4), 391-395. doi:10.5455/bcp.20140714030311
⁹⁷Sotnikova, A., Steinmann, E., Wendisch, V., Gerber-von Müller, G., Stephani, U., Petermann, F., . . . Siniatchkin, M. (2012). Long-term effects of a multimodal behavioural ADHD training: A fMRI study. Zeitschrift für Neuropsychologie, 23(4), 205-213. doi:10.1024/1016-264X/a000075
⁹⁸Holloway, J. A., Murray, J., Okada, R., & Emmons, A. L. (2014). Ecopsychology and relationship competency: The empowerment of women graduate students through nature experiences. Women & Therapy, 37(1-2), 141-154. doi:10.1080/02703149.2014.850343
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¹⁰⁰Solomon, B. G., Klein, S. K., & Politylo, B. C. (2012). The effect of performance feedback on teachers’ treatment integrity: A meta-analysis of the single-case literature. School Psychology Review, 41(2), 160-175.
¹⁰¹Haba-Rubio, J., Prior, J. O., Guedj, E., Tafti, M., Heinzer, R., & Rossetti, A. O. (2012). Kleine-Levin syndrome: Functional imaging correlates of hypersomnia and behavioral symptoms. Neurology, 79(18), 1927-1929. doi:10.1212/WNL.0b013e318271f85a
¹⁰²Williams, K., Irwin, D. A., Jones, D. G., & Murphy, K. M. (2010). Dramatic loss of Ube3A expression during aging of the mammalian cortex. Frontiers in Aging Neuroscience, 2.
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¹⁰⁴Yoon, S.-Y., & Kim, D.-H. (2016). Alzheimer’s disease genes and autophagy. Brain Research, 1649(Part B), 201-209. doi:10.1016/j.brainres.2016.03.018
¹⁰⁵Fukuda, K. (2010). A novel dynamic analysis of mental status linked to biogenic amines and psychopathology. Current Psychiatry Reviews, 6(1), 15-20. doi:10.2174/157340010790596544
¹⁰⁶Graf von Reventlow, H., Krüger-Özgürdal, S., Ruhrmann, S., Schultze-Lutter, F., Heinz, A., Patterson, P., . . . Juckel, G. (2014). Pathways to care in subjects at high risk for psychotic disorders—A European perspective. Schizophrenia Research, 152(2-3), 400-407. doi:10.1016/j.schres.2013.11.031
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¹⁰⁸Bowles, A. R., Chang, C. B., & Karuzis, V. P. (2016). Pitch ability as an aptitude for tone learning. Language Learning. doi:10.1111/lang.12159
¹⁰⁹Chancer, L. S. (2016). Introduction to special 10th anniversary issue of feminist criminology: Is criminology still male dominated? Feminist Criminology, 11(4), 307-310. doi:10.1177/1557085116660610
¹¹⁰Zellner, D. A., & Cobuzzi, J. L. (2016). Just dessert: Serving fruit as a separate “dessert” course increases vegetable consumption in a school lunch. Food Quality and Preference, 48, 195–198. doi:10.1016/j.foodqual.2015.09.013
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¹¹²O’Donnell, K. S. (2012). Global mental health: A resource primer for exploring the domain. International Perspectives in Psychology: Research, Practice, Consultation, 1(3), 191-205. doi:10.1037/a0029290
¹¹³Raz, A. (2011). Does neuroimaging of suggestion elucidate hypnotic trance? International Journal of Clinical and Experimental Hypnosis, 59(3), 363-377. doi:10.1080/00207144.2011.570682
¹¹⁴Heron, S. E., Scheffer, I. E., Grinton, B. E., Eyre, H., Oliver, K. L., Bain, S., . . . Mulley, J. C. (2010). Familial neonatal seizures with intellectual disability caused by a microduplication of chromosome 2q24.3. Epilepsia, 51(9), 1865-1869. doi:10.1111/j.1528-1167.2010.02558.x
¹¹⁵MacKinnon, K. (2011). Rural nurses’ safeguarding work: Reembodying patient safety. Advances in Nursing Science, 34(2), 119-129. doi:10.1097/ANS.0b013e3182186b86
¹¹⁶Rajczi, A. (2016). Liberalism and public health ethics. Bioethics, 30(2), 96-108. doi:10.1111/bioe.12163
¹¹⁷De Dreu, C. K. W. (2012). Oxytocin modulates cooperation within and competition between groups: An integrative review and research agenda. Hormones and Behavior, 61(3), 419-428. doi:10.1016/j.yhbeh.2011.12.009
¹¹⁸Chan, P., Finnegan, C., & Sternquist, B. (2011). Country and firm level factors in international retail expansion. European Journal of Marketing, 45(6), 1005-1022. doi:10.1108/03090561111119985
¹¹⁹Glegg, S. M. N., Livingstone, R., & Montgomery, I. (2016). Facilitating interprofessional evidence-based practice in paediatric rehabilitation: Development, implementation and evaluation of an online toolkit for health professionals. Disability and Rehabilitation: An International, Multidisciplinary Journal, 38(4), 391-399. doi:10.3109/09638288.2015.1041616
¹²⁰Tsai, W.-H. S., & Li, C. (2012). Bicultural advertising and Hispanic acculturation. Hispanic Journal of Behavioral Sciences, 34(2), 305-322. doi:10.1177/0739986311435224
¹²¹Adams, C., Lazarevic, M., Thomas, E. S., & Lowe, J. (2012). Where do we draw the line on providing a ‘home from home’ environment on a PICU? Journal of Psychiatric Intensive Care, 8(2), 126-133. doi:10.1017/S1742646412000088
¹²²Nkomo, N. (2015). Bearing the right to healthcare, autonomy and hope. Social Science & Medicine, 147, 163-169. doi:10.1016/j.socscimed.2015.11.003
¹²³Ran, M. S., Chan, C. L. W., Ng, S. M., Guo, L. T., & Xiang, M. Z. (2015). The effectiveness of psychoeducational family intervention for patients with schizophrenia in a 14-year follow-up study in a Chinese rural area. Psychological Medicine, 45(10), 2197-2204. doi:10.1017/S0033291715000197
¹²⁴Yaros, A., Lochman, J. E., Rosenbaum, J., & Jimenez‐Camargo, L. A. (2014). Real‐time hostile attribution measurement and aggression in children. Aggressive Behavior, 40(5), 409-420. doi:10.1002/ab.21532
¹²⁵Mordal, J., Medhus, S., Holm, B., Mørland, J., & Bramness, J. G. (2013). Influence of drugs of abuse and alcohol upon patients admitted to acute psychiatric wards: Physician’s assessment compared to blood drug concentrations. Journal of Clinical Psychopharmacology, 33(3), 415-419. doi:10.1097/JCP.0b013e31828ec934
¹²⁶Del Giudice, M., Ellis, B. J., & Shirtcliff, E. A. (2011). The Adaptive Calibration Model of stress responsivity. Neuroscience and Biobehavioral Reviews, 35(7), 1562-1592. doi:10.1016/j.neubiorev.2010.11.007
¹²⁷Bassett-Gunter, R., & Chang, A. (2016). Self-regulatory self-efficacy, action control, and planning: There’s an app for that! Telemedicine and e-Health, 22(4), 325-331. doi:10.1089/tmj.2015.0061
¹²⁸Steiner, M., Allemand, M., & McCullough, M. E. (2011). Age differences in forgivingness: The role of transgression frequency and intensity. Journal of Research in Personality, 45(6), 670-678. doi:10.1016/j.jrp.2011.09.004
¹²⁹Albiani, J. J., Hart, S. L., Katz, L., Berian, J., Del Rosario, A., Lee, J., & Varma, M. (2013). Impact of depression and anxiety on the quality of life of constipated patients. Journal of Clinical Psychology in Medical Settings, 20(1), 123-132. doi:10.1007/s10880-012-9306-3
¹³⁰Gilling, D. (2012). Reasons to be cheerful? Addressing public perceptions through National Tackling Drugs Week. Criminology & Criminal Justice: An International Journal, 12(1), 41-60. doi:10.1177/1748895811423090
¹³¹Li, L., & MacGregor, L. J. (2010). Investigating the receptive vocabulary size of university-level Chinese learners of English: How suitable is the Vocabulary Levels Test? Language and Education, 24(3), 239-249. doi:10.1080/09500781003642478
¹³²Justice, A. C., McGinnis, K. A., Tate, J. P., Braithwaite, R. S., Bryant, K. J., Cook, R. L., . . . Fiellin, D. A. (2016). Risk of mortality and physiologic injury evident with lower alcohol exposure among HIV infected compared with uninfected men. Drug and Alcohol Dependence, 161, 95-103. doi:10.1016/j.drugalcdep.2016.01.017
¹³³Marzolla, M. (2011). Fast training of support vector machines on the Cell processor. Neurocomputing: An International Journal, 74(17), 3700-3707. doi:10.1016/j.neucom.2011.04.011
¹³⁴Kasari, C., Siller, M., Huynh, L. N., Shih, W., Swanson, M., Hellemann, G. S., & Sugar, C. A. (2014). Randomized controlled trial of parental responsiveness intervention for toddlers at high risk for autism. Infant Behavior & Development, 37(4), 711-721. doi:10.1016/j.infbeh.2014.08.007
¹³⁵Damasceno, M. M. C., de Araújo, M. F. M., de Freitas, R. W. J. F., de Almeida, P. C., & Zanetti, M. L. (2011). The association between blood pressure in adolescents and the consumption of fruits, vegetables and fruit juice—An exploratory study. Journal of Clinical Nursing, 20(11-12), 1553-1560. doi:10.1111/j.1365-2702.2010.03608.x
¹³⁶Ma, C. G., Chen, M. K., Yang, S. C., Bai, S., & Liao, Q. M. (2010). Successful treatment of recurrent and refractory cervical condylomata acuminata with topical 5% imiquimod cream in five patients. International Journal of STD & AIDS, 21(7), 528-529. doi:10.1258/ijsa.2010.010125
¹³⁷Gori, M., & Hanganu-Opatz, I. L. (2015). Introduction to the special issue on multisensory development and plasticity. Multisensory Research, 28(1-2), 31-32.
¹³⁸Nariswari, A. G. A., & Chen, Q. (2015). Siding with the underdog: Is your customer voting effort a sweet deal for your competitors? Marketing Letters. doi:10.1007/s11002-015-9372-z
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¹⁴⁰Mitchell, K. A., Rawl, S. M., Champion, V. L., Jeffries, P. R., & Welch, J. L. (2012). Development and psychometric testing of the colonoscopy embarrassment scale. Western Journal of Nursing Research, 34(4), 548-564. doi:10.1177/0193945911410328
¹⁴¹Pinto, A. C., & de Azambuja, E. (2011). Improving quality of life after breast cancer: Dealing with symptoms. Maturitas, 70(4), 343-348. doi:10.1016/j.maturitas.2011.09.008
¹⁴²Cordi, M. J., Hirsiger, S., Mérillat, S., & Rasch, B. (2015). Improving sleep and cognition by hypnotic suggestion in the elderly. Neuropsychologia, 69, 176-182. doi:10.1016/j.neuropsychologia.2015.02.001
¹⁴³Nunes, C. (2011). Pediatricians’ ideas about child development and education. Psicologia: Reflexão e Crítica, 24(4), 765-772. doi:10.1590/S0102-79722011000400017
¹⁴⁴Lupton, M. K., Strike, L., Hansell, N. K., Wen, W., Mather, K. A., Armstrong, N. J., . . . Wright, M. J. (2016). The effect of increased genetic risk for Alzheimer’s disease on hippocampal and amygdala volume. Neurobiology of Aging, 40, 68-77. doi:10.1016/j.neurobiolaging.2015.12.023
¹⁴⁵Hoffman, J. A., Franko, D. L., Thompson, D. R., Power, T. J., & Stallings, V. A. (2010). Longitudinal behavioral effects of a school-based fruit and vegetable promotion program. Journal of Pediatric Psychology, 35(1), 61-71. doi:10.1093/jpepsy/jsp041
¹⁴⁶Burston, A. S., & Tuckett, A. G. (2013). Moral distress in nursing: Contributing factors, outcomes and interventions. Nursing Ethics, 20(3), 312-324. doi:10.1177/0969733012462049
¹⁴⁷Leonard, H. C., Karmiloff-Smith, A., & Johnson, M. H. (2010). The development of spatial frequency biases in face recognition. Journal of Experimental Child Psychology, 106(4), 193-207. doi:10.1016/j.jecp.2010.03.005
¹⁴⁸Towers, J. (2013). Consistencies between new teachers’ beliefs and practices and those grounding their initial teacher education program. Alberta Journal of Educational Research, 59(1), 108-125.
¹⁴⁹Jensen, K., Engelke, S., Simpson, S. J., Mayntz, D., & Hunt, J. (2013). Balancing of specific nutrients and subsequent growth and body composition in the slug Arion lusitanicus. Physiology & Behavior, 122, 84-92. doi:10.1016/j.physbeh.2013.08.023
¹⁵⁰Davis, S. N., Bergeron, S., Sadikaj, G., Corsini-Munt, S., & Steben, M. (2015). Partner behavioral responses to pain mediate the relationship between partner pain cognitions and pain outcomes in women with provoked vestibulodynia. The Journal of Pain, 16(6), 549-557. doi:10.1016/j.jpain.2015.03.002
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¹⁵⁴Xiang, Y. T., Wang, C. Y., Ungvari, G. S., Kreyenbuhl, J. A., Chiu, H. F. K., Lai, K. Y. C., . . . Dixon, L. B. (2011). Weight changes and their associations with demographic and clinical characteristics in risperidone maintenance treatment for schizophrenia. Pharmacopsychiatry, 44(4), 135-141. doi:10.1055/s-0031-1277178
¹⁵⁵Murray, N., de la Peña, D., & Harris, C. (2010). Expert knowledge improves rapid perception of salient natural scenes. Individual Differences Research, 8(2), 78-82.
¹⁵⁶Himelboim, I. (2011). Civil society and online political discourse: The network structure of unrestricted discussions. Communication Research, 38(5), 634-659. doi:10.1177/0093650210384853
¹⁵⁷Vigliotti, M. G., & Hankin, C. (2015). Discovery of anomalous behaviour in temporal networks. Social Networks, 41, 18-25. doi:10.1016/j.socnet.2014.12.001
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¹⁵⁹Kapp, L., & Brown, O. (2011). Resilience in families adapting to Autism Spectrum Disorder. Journal of Psychology in Africa, 21(3), 459-463.
¹⁶⁰Kinnunen, S., & Puroila, A.-M. (2016). ‘If my sister was here’—The narrative in-between space in young children’s photography process. Childhood: A Global Journal of Child Research, 23(2), 236-254. doi:10.1177/0907568215602317
¹⁶¹Ramírez, G. B. (2015). Translating quality in higher education: US approaches to accreditation of institutions from around the world. Assessment & Evaluation in Higher Education, 40(7), 943-957. doi:10.1080/02602938.2014.960361
¹⁶²Braidy, N., Poljak, A., Jayasena, T., Mansour, H., Inestrosa, N. C., & Sachdev, P. S. (2015). Accelerating Alzheimer’s research through ‘natural’ animal models. Current Opinion in Psychiatry, 28(2), 155-164.
¹⁶³Müller, M. J. (2013). Depressive attribution style and stressor uncontrollability increase perceived pain intensity after electric skin stimuli in healthy young men. Pain Research & Management, 18(4), 203-206.
¹⁶⁴Ventres, W. B. (2016). Building power between polarities: On the space-in-between. Qualitative Health Research, 26(3), 345-350. doi:10.1177/1049732315609573
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¹⁶⁶Olino, T. M., Yu, L., McMakin, D. L., Forbes, E. E., Seeley, J. R., Lewinsohn, P. M., & Pilkonis, P. A. (2013). Comparisons across depression assessment instruments in adolescence and young adulthood: An item response theory study using two linking methods. Journal of Abnormal Child Psychology, 41(8), 1267-1277. doi:10.1007/s10802-013-9756-6
¹⁶⁷Barker, M. (2013). Consent is a grey area? A comparison of understandings of consent in Fifty Shadesof Grey and on the BDSM blogosphere. Sexualities, 16(8), 896-914. doi:10.1177/1363460713508881
¹⁶⁸Reiche, B. S., Cardona, P., Lee, Y. T., Canela, M. Á., Akinnukawe, E., Briscoe, J. P., . . . Wilkinson, H. (2014). Why do managers engage in trustworthy behavior? A multilevel cross‐cultural study in 18 countries. Personnel Psychology, 67(1), 61-98. doi:10.1111/peps.12038
¹⁶⁹Bjørn, P., & Ngwenyama, O. (2010). Technology alignment: A new area in virtual team research. IEEE Transactions on Professional Communication, 53(4), 382-400. doi:10.1109/TPC.2009.2034926
¹⁷⁰von Auer, A. K., Kleindienst, N., Ludewig, S., Soyka, O., Bohus, M., & Ludäscher, P. (2015). Zehn Jahre Erfahrung mit der Dialektisch-Behavioralen Therapie für Adoleszente (DBT-A) unter stationären Bedingungen—Die Station Wellenreiter. = Inpatient Dialectical Behavior Therapy for Adolescents (DBT-A)—10 years of experience on the psychiatric inpatient unit «Wellenreiter». Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie, 43(5), 301-315. doi:10.1024/1422-4917/a000371
¹⁷¹Morizet, D., Depezay, L., Combris, P., Picard, D., & Giboreau, A. (2012). Effect of labeling on new vegetable dish acceptance in preadolescent children. Appetite, 59(2), 399-402. doi:10.1016/j.appet.2012.05.030
¹⁷²Al-Zahrani, A. S., El-Kashif, A. T., Mohammad, A. A., Elsamany, S., & Alsirafy, S. A. (2013). Prediction of in-hospital mortality of patients with advanced cancer using the Chuang Prognostic Score. American Journal of Hospice & Palliative Medicine, 30(7), 707-711. doi:10.1177/1049909112467362
¹⁷³Hatsukami, D. K., Jensen, J., Anderson, A., Broadbent, B., Allen, S., Zhang, Y., & Severson, H. (2011). Oral tobacco products: Preference and effects among smokers. Drug and Alcohol Dependence, 118(2-3), 230-236. doi:10.1016/j.drugalcdep.2011.03.026
¹⁷⁴Dimitrov, D. M., & Shamrani, A. R. (2015). Psychometric features of the General Aptitude Test–Verbal Part (GAT-V): A large-scale assessment of high school graduates in Saudi Arabia. Measurement and Evaluation in Counseling and Development, 48(2), 79-94. doi:10.1177/0748175614563317
¹⁷⁵Lagaraine, C., Skipor, J., Szczepkowska, A., Dufourny, L., & Thiery, J.-C. (2011). Tight junction proteins vary in the choroid plexus of ewes according to photoperiod. Brain Research, 1393, 44-51. doi:10.1016/j.brainres.2011.04.009
¹⁷⁶Pirta, R. S. (2012). Some aspects of empathy in the process of psychotherapy: Learning from Indian tradition. Psychological Studies, 57(4), 336-347. doi:10.1007/s12646-012-0165-7
¹⁷⁷Ergin, I., & Mandiracioglu, A. (2015). Demographic and socioeconomic inequalities for self-rated health and happiness in elderly: The situation for Turkey regarding World Values Survey between 1990 and 2013. Archives of Gerontology and Geriatrics, 61(2), 224-230. doi:10.1016/j.archger.2015.06.011
¹⁷⁸Freeman, L. R., Haley-Zitlin, V., Stevens, C., & Granholm, A.-C. (2011). Diet-induced effects on neuronal and glial elements in the middle-aged rat hippocampus. Nutritional Neuroscience, 14(1), 32-44. doi:10.1179/174313211X12966635733358
¹⁷⁹Thames, A. D., Moizel, J., Panos, S. E., Patel, S. M., Byrd, D. A., Myers, H. F., . . . Hinkin, C. H. (2012). Differential predictors of medication adherence in HIV: Findings from a sample of African American and Caucasian HIV-positive drug-using adults. AIDS Patient Care and STDs, 26(10), 621-630. doi:10.1089/apc.2012.0157
¹⁸⁰Berta, L. (2011). Qualia from the point of view of language. Journal of Mind and Behavior, 32(3), 181-208.
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¹⁸²Callaghan, M., Molcho, M., Gabhainn, S. N., & Kelly, C. (2015). Food for thought: Analysing the internal and external school food environment. Health Education, 115(2), 152-170. doi:10.1108/HE-04-2014-0058
¹⁸³Rominger, A., Mille, E., Böning, G., Wängler, B., Gildehaus, F. J., Arszol, C., . . . Cumming, P. (2010). α2-Adrenergic drugs modulate the binding of [¹⁸F]fallypride to dopamine D2/3 receptors in striatum of living mouse. Synapse, 64(8), 654-657. doi:10.1002/syn.20785
¹⁸⁴Schwartz, S. J., Lilienfeld, S. O., Meca, A., & Sauvigné, K. C. (2016). The role of neuroscience within psychology: A call for inclusiveness over exclusiveness. American Psychologist, 71(1), 52-70. doi:10.1037/a0039678
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¹⁸⁸Ody, M. (2013). Introdução à mesa redonda sobre a linguagem. = Introduction to the round-table discussion on language. Revista de Psicanálise da SPPA, 20(1), 157-168.
¹⁸⁹Seiter, J. S., & Weger, H. (2014). The Principle of Reciprocity in Hospitality Contexts: The Relationship Between Tipping Behavior and Food Servers’ Approaches to Handling Leftovers. Journal of Hospitality & Tourism. Doi:10.1177/1096348014562425
¹⁹⁰Walmsley, C., Mahoney, A., Durgin, A., & Poling, A. (2013). Fostering hand washing before lunch by students attending a special needs young adult program. Research in Developmental Disabilities, 34(1), 95-101. doi:10.1016/j.ridd.2012.08.002
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¹⁹³Reyes-Rodríguez, M. L., Ramírez, J., Davis, K., Patrice, K., & Bulik, C. M. (2013). Exploring barriers and facilitators in eating disorders treatment among Latinas in the United States. Journal of Latina/o Psychology, 1(2), 112-131. doi:10.1037/a0032318
¹⁹⁴Kattan, J. A., Kudish, K. S., Cadwell, B. L., Soto, K., & Hadler, J. L. (2014). Effect of vaccination coordinators on socioeconomic disparities in immunization among the 2006 Connecticut Birth Cohort. American Journal of Public Health, 104(1), e74-e81. doi:10.2105/AJPH.2013.301418
¹⁹⁵McMenamin, B. W., Shackman, A. J., Maxwell, J. S., Bachhuber, D. R. W., Koppenhaver, A. M., Greischar, L. L., & Davidson, R. J. (2010). Validation of ICA-based myogenic artifact correction for scalp and source-localized EEG. NeuroImage, 49(3), 2416-2432. doi:10.1016/j.neuroimage.2009.10.010
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¹⁹⁷McGirr, A., & Cusimano, M. D. (2012). Familial aggregation of idiopathic normal pressure hydrocephalus: Novel familial case and a family study of the NPH triad in an iNPH patient cohort. Journal of the Neurological Sciences, 321(1-2), 82-88. doi:10.1016/j.jns.2012.07.062
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²⁰⁰Destruel, E., & Donaldson, B. (2016). Second language acquisition of pragmatic inferences: Evidence from the french c’est-cleft. Applied Psycholinguistics. doi:10.1017/S0142716416000400
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²⁰⁴Wen-Xiang, Q., Hong, Q., Zhi-Yu, Z., Wu-Fang, Z., Yan-Ping, R., Yun-Long, T., . . . Xiang-Qun, W. (2012). Effects of low frequency repetitive transcranial magnetic stimulation on auditory hallucination in patients with schizophrenia. Chinese Mental Health Journal, 26(3), 204-208.
²⁰⁵Melnyk, B. M., Gallagher‐Ford, L., Thomas, B. K., Troseth, M., Wyngarden, K., & Szalacha, L. (2016). A study of chief nurse executives indicates low prioritization of evidence‐based practice and shortcomings in hospital performance metrics across the united states. Worldviews on Evidence-Based Nursing. doi:10.1111/wvn.12133
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²⁰⁷Laging, M., Grofß, S., Ilse, A. K., Löffler, T., Rauch, T., & Heidenreich, T. (2012). Alkoholprävention bei Studierenden: Wie sollten Angebote zur Prävention alkoholbezogener Störungen für Studierende gestaltet werden? Ergebnisse einer empirischen Studie. = Alcohol prevention programs for college students: How to shape alcohol prevention programs for college students? Findings from an empirical study. Sucht: Zeitschrift für Wissenschaft und Praxis, 58(3), 167-172. doi:10.1024/0939-5911.a000181
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²¹⁰Hasan, F., Ansari, M. S., & Ahmad, N. (2013). Retraction note to: ‘Foraging of host-habitat and superparasitism in cotesia glomerata: A gregarious parasitoid of pieris brassicae’. Journal of Insect Behavior, 26(2), 260-260. doi:10.1007/s10905-013-9382-8
²¹¹Sharma, A., Gokulchandran, N., Sane, H., Bhovad, P., Biju, H., Shetty, A., . . . Badhe, P. (2014). Cell therapy effects portrayed on positron emission tomography of the brain serve as a new dimension for autism. Journal of Pediatric Neurology, 12(3), 151-156.
²¹²Schmidt, K. L., Malisch, J. L., Breuner, C. W., & Soma, K. K. (2010). Corticosterone and cortisol binding sites in plasma, immune organs and brain of developing zebra finches: Intracellular and membrane-associated receptors. Brain, Behavior, and Immunity, 24(6), 908-918. doi:10.1016/j.bbi.2010.02.008
²¹³Rullander, A. C., Lundström, M., Lindkvist, M., Hägglöf, B., & Lindh, V. (2016). Stress symptoms among adolescents before and after scoliosis surgery: Correlations with postoperative pain. Journal of Clinical Nursing, 25(7-8), 1086-1094. doi:10.1111/jocn.13137
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²¹⁷Oostindjer, M., Aschemann-Witzel, J., Wang, Q., Skuland, S. E., Egelandsdal, B., Amdam, G. V., … van Kleef, E. (2016). Are School Meals a Viable and Sustainable Tool to Improve the Healthiness and Sustainability of Children´s Diet and Food Consumption? A Cross-national Comparative Perspective. Critical Reviews in Food Science and Nutrition, 00–00. doi:10.1080/10408398.2016.1197180
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²²⁷Ledesma, J. C., Miquel, M., Pascual, M., Guerri, C., & Aragon, C. M. G. (2014). Induction of brain cytochrome P450 2E1 boosts the locomotorstimulating effects of ethanol in mice. Neuropharmacology, 85, 36-44. doi:10.1016/j.neuropharm.2014.05.018
²²⁸Turner, M. (2013). Modern ‘live’ football: Moving from the panoptican gaze to the performative, virtual and carnivalesque. Sport in Society, 16(1), 85-93. doi:10.1080/17430437.2012.690404
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³⁰⁸Vindevogel, S., Wessells, M., De Schryver, M., Broekaert, E., & Derluyn, I. (2014). Dealing with the consequences of war: Resources of formerly recruited and non-recruited youth in northern Uganda. Journal of Adolescent Health, 55(1), 134-140. doi:10.1016/j.jadohealth.2013.11.023
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³²³Grumet, R., & Fitzpatrick, M. (2016). A case for integrating values clarification work into cognitive behavioral therapy for social anxiety disorder. Journal of Psychotherapy Integration, 26(1), 11-21. doi:10.1037/a0039633
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³²⁶Gamero-Villarroel, C., Rodriguez-Lopez, R., Jimenez, M., Carrillo, J. A., Garcia-Herraiz, A., Albuquerque, D., . . . Gervasini, G. (2015). Melanocortin-4 receptor gene variants are not associated with binge-eating behavior in nonobese patients with eating disorders. Psychiatric Genetics, 25(1), 35-38. doi:10.1097/YPG.0000000000000065
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⁵⁰⁴Torre, A. L., Giupponi, G., Duffy, D., & Conca, A. (2013). Sexual dysfunction related to psychotropic drugs: A critical review — Part I: Antidepressants. Pharmacopsychiatry, 46(5), 191-199. doi:10.1055/s-0033-1345205
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⁵²⁵Chen, S.-Q., Cai, Q., Shen, Y.-Y., Wang, P.-Y., Li, M.-H., & Teng, G.-Y. (2014). Neural stem cell transplantation improves spatial learning and memory via neuronal regeneration in amyloid-β precursor protein/presenilin I/tau triple transgenic mice. American Journal of Alzheimer’s Disease and Other Dementias, 29(2), 142-149. doi:10.1177/1533317513506776
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⁵³⁵Stalmeijer, R. E., Dolmans, D. H. J. M., Snellen-Balendong, H. A. M., van Santen-Hoeufft, M., Wolfhagen, I. H. A. P., & Scherpbier, A. J. J. A. (2013). Clinical teaching based on principles of cognitive apprenticeship: Views of experienced clinical teachers. Academic Medicine, 88(6), 861-865. doi:10.1097/ACM.0b013e31828fff12
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¹¹⁹²Akiyama, T., Tominaga, M., Carstens, M. I., & Carstens, E. E. (2012). Site‐dependent and state‐dependent inhibition of pruritogen‐responsive spinal neurons by scratching. European Journal of Neuroscience, 36(3), 2311-2316. doi:10.1111/j.1460-9568.2012.08136.x
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¹²⁰²Mäkeläinen, S., Trebatická, L., Sundell, J., & Ylönen, H. (2014). Different escape tactics of two vole species affect the success of the hunting predator, the least weasel. Behavioral Ecology and Sociobiology, 68(1), 31-40. doi:10.1007/s00265-013-1619-1
¹²⁰³Otsuka, I., Watanabe, Y., Hishimoto, A., Boku, S., Mouri, K., Shiroiwa, K., . . . Sora, I. (2015). Association analysis of the Cadherin13 gene with schizophrenia in the Japanese population. Neuropsychiatric Disease and Treatment, 11.
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¹²⁰⁷Burhansstipanov, L., Dignan, M. B., Schumacher, A., Sr., Krebs, L. U., Alfonsi, G., & Apodaca, C. C. (2010). Breast screening navigator programs within three settings that assist underserved women. Journal of Cancer Education, 25(2), 247-252. doi:10.1007/s13187-010-0071-4
¹²⁰⁸Guy, R., Wand, H., McManus, H., Vonthanak, S., Woolley, l., Honda, M., . . . Carr, A. (2013). Antiretroviral treatment interruption and loss to follow-up in two HIV cohorts in Australia and Asia: Implications for ‘test and treat’ prevention strategy. AIDS Patient Care and STDs, 27(12), 681-691.
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¹⁵⁴⁸Tzur-Bitan, D., Meiran, N., Steinberg, D. M., & Shahar, G. (2012). Is the looming maladaptive cognitive style a central mechanism in the (generalized) anxiety-(major) depression comorbidity: An intra-individual, time series study. International Journal of Cognitive Therapy, 5(2), 170-185. doi:10.1521/ijct.2012.5.2.170
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¹⁵⁵⁰Schwartz, L. A., Tuchman, L. K., Hobbie, W. L., & Ginsberg, J. P. (2011). A social‐ecological model of readiness for transition to adult‐oriented care for adolescents and young adults with chronic health conditions. Child: Care, Health and Development, 37(6), 883-895. doi:10.1111/j.1365-2214.2011.01282.x
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¹⁵⁶⁰Padilla, M. L., Colrain, I. M., Sullivan, E. V., Mayer, B. Z., Turlington, S. R., Hoffman, L. R., . . . Pfefferbaum, A. (2011). Electrophysiological evidence of enhanced performance monitoring in recently abstinent alcoholic men. Psychopharmacology, 213(1), 81-91. doi:10.1007/s00213-010-2018-1
¹⁵⁶¹Beveridge, A. (2016). ‘We are all a little mad in one or other particular’. The presentation of madness in the novels of Muriel Spark. History of Psychiatry, 27(2), 153-171. doi:10.1177/0957154X16630478
¹⁵⁶²Shockley, K. G. (2011). The complexity of developing properly trained education professionals for African American children: Exploring an African indigenous socialization process. The Urban Review, 43(3), 379-395. doi:10.1007/s11256-010-0157-7
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¹⁵⁶⁵Lorenzi-Cioldi, F., Chatard, A., Marques, J. M., Selimbegović, L., Konan, P., & Faniko, K. (2011). What do drawings reveal about people’s attitudes toward countries and their citizens? Social Psychology, 42(3), 231-240. doi:10.1027/1864-9335/a000067
¹⁵⁶⁶Uğurbil, K. (2012). Development of functional imaging in the human brain (fMRI); the University of Minnesota experience. NeuroImage, 62(2), 613-619. doi:10.1016/j.neuroimage.2012.01.135
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¹⁵⁶⁹Duman, R. S. (2014). Neurobiology of stress, depression, and rapid acting antidepressants: Remodeling synaptic connections. Depression and Anxiety, 31(4), 291-296. doi:10.1002/da.22227
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¹⁵⁷³Liberman, L. C., Altuzarra, M. P., Öst, L.-G., & Ollendick, T. (2012). How I Feel about Things: Psychometric data from a sample of Spanish-speaking children. International Journal of Clinical and Health Psychology, 12(3), 419-433.
¹⁵⁷⁴Gawryluk, J. R., D’Arcy, R. C. N., Mazerolle, E. L., Brewer, K. D., & Beyea, S. D. (2011). Functional mapping in the corpus callosum: A 4 T fMRI study of white matter. NeuroImage, 54(1), 10-15. doi:10.1016/j.neuroimage.2010.07.028
¹⁵⁷⁵Kalula, A. T. (2011). Cannabis use among young people in Dar es Salaam, Tanzania: A qualitative study. African Journal of Drug and Alcohol Studies, 10(1), 29-39.
¹⁵⁷⁶McMurdo, M. E. T., Sugden, J., Argo, I., Boyle, P., Johnston, D. W., Sniehotta, F. F., & Donnan, P. T. (2010). Do pedometers increase physical activity in sedentary older women? A randomized controlled trial. Journal of the American Geriatrics Society, 58(11), 2099-2106. doi:10.1111/j.1532-5415.2010.03127.x
¹⁵⁷⁷Kimura, R., Saiki, A., Fujiwara‐Tsukamoto, Y., Sakai, Y., & Isomura, Y. (2016). Large‐scale analysis reveals populational contributions of cortical spike rate and synchrony to behavioural functions. The Journal of Physiology. doi:10.1113/JP272794
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¹⁵⁷⁹Yonehara, A. (2013). Needs assessment for literacy development by Hierarchical Generalized Linear Modeling: A possibility of needs assessment model with consideration for hierarchical environmental factors. Japanese Journal of Behaviormetrics, 40(2), 123-134. doi:10.2333/jbhmk.40.123
¹⁵⁸⁰Richetin, J., Richardson, D. S., & Mason, G. D. (2010). Predictive validity of IAT aggressiveness in the context of provocation. Social Psychology, 41(1), 27-34. doi:10.1027/1864-9335/a000005
¹⁵⁸¹Burnett, S., Bault, N., Coricelli, G., & Blakemore, S.-J. (2010). Adolescents’ heightened risk-seeking in a probabilistic gambling task. Cognitive Development, 25(2), 183-196. doi:10.1016/j.cogdev.2009.11.003
¹⁵⁸²Smith, A., Kobayashi, K., Chappell, N., & Hoxsey, D. (2011). The controversial promises of cholinesterase inhibitors for Alzheimer’s disease and related dementias: A qualitative study of caregivers’ experiences. Journal of Aging Studies, 25(4), 397-406. doi:10.1016/j.jaging.2011.03.002
¹⁵⁸³Hua, Y., Zhao, H., Kong, Y., & Ye, M. (2011). Association between the MTHFR gene and Alzheimer’s disease: A meta-analysis. International Journal of Neuroscience, 121(8), 462-471. doi:10.3109/00207454.2011.578778
¹⁵⁸⁴DiCamilla, F. J., & Antón, M. (2012). Functions of L1 in the collaborative interaction of beginning and advanced second language learners. International Journal of Applied Linguistics, 22(2), 160-188. doi:10.1111/j.1473-4192.2011.00302.x
¹⁵⁸⁵Heydendael, W., Sengupta, A., Beck, S., & Bhatnagar, S. (2014). Optogenetic examination identifies a context-specific role for orexins/hypocretins in anxiety-related behavior. Physiology & Behavior, 130, 182-190. doi:10.1016/j.physbeh.2013.10.005
¹⁵⁸⁶Marco, A., Gallego, C., Trujols, J., Blanco, X. R., Argüelles, M. J., Puig, A., . . . de Los Cobos, J. P. (2013). Satisfaction with methadone treatment among prison inmates: Exploring predictive factors. Criminal Justice and Behavior, 40(10), 1163-1177. doi:10.1177/0093854813486268
¹⁵⁸⁷Tsuda, H. (2011). Information gathering style and ideas of reference: A mechanism mediated by rumination. Japanese Journal of Counseling Science, 44(2), 101-109.
¹⁵⁸⁸Harper, S., & McKinnon, B. (2012). Global socioeconomic inequalities in tobacco use: Internationally comparable estimates from the World Health Surveys. Cancer Causes & Control, 23(Suppl 1), 11-25. doi:10.1007/s10552-012-9901-5
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¹⁵⁹⁰Riggs, S. A., & Cusimano, A. (2014). The dynamics of military deployment in the family system: What makes a parent fit for duty? Family Court Review, 52(3), 381-399. doi:10.1111/fcre.12099
¹⁵⁹¹Bouffartigue, P. (2010). The gender division of paid and domestic work: Some remarks in favour of a temporal perspective. Time & Society, 19(2), 220-238. doi:10.1177/0961463X09337855
¹⁵⁹²Flett, G. L., & Hewitt, P. L. (2016). Still measuring perfectionism after all these years: Reflections and an introduction to the special issue on advances in the assessment of perfectionism. Journal of Psychoeducational Assessment, 34(7), 615-619. doi:10.1177/0734282916651540
¹⁵⁹³Zhu, Y., & McKenna, B. (2012). Legitimating a Chinese takeover of an Australian iconic firm: Revisiting models of media discourse of legitimacy. Discourse & Society, 23(5), 525-552. doi:10.1177/0957926512452971
¹⁵⁹⁴Cline, B. H., Costa-Nunes, J. P., Cespuglio, R., Markova, N., Santos, A. I., Bukhman, Y. V., . . . Strekalova, T. (2015). Dicholine succinate, the neuronal insulin sensitizer, normalizes behavior, REM sleep, hippocampal pGSK3 beta and mRNAs of NMDA receptor subunits in mouse models of depression. Frontiers in Behavioral Neuroscience, 9.
¹⁵⁹⁵Bradley, E., & Cheetham, T. (2010). The use of psychotropic medication for the management of problem behaviours in adults with intellectual disabilities living in Canada. Advances in Mental Health and Intellectual Disabilities, 4(3), 12-26. doi:10.5042/amhid.2010.0539
¹⁵⁹⁶Sellaro, R., Hommel, B., Manaï, M., & Colzato, L. S. (2015). Preferred, but not objective temperature predicts working memory depletion. Psychological Research, 79(2), 282-288. doi:10.1007/s00426-014-0558-4
¹⁵⁹⁷Coleman, E., Horvath, K. J., Miner, M., Ross, M. W., Oakes, M., & Rosser, B. R. S. (2010). Compulsive sexual behavior and risk for unsafe sex among internet using men who have sex with men. Archives of Sexual Behavior, 39(5), 1045-1053. doi:10.1007/s10508-009-9507-5
¹⁵⁹⁸Kwilasz, A. J., Abdullah, R. A., Poklis, J. L., Lichtman, A. H., & Negus, S. S. (2014). Effects of the fatty acid amide hydrolase inhibitor URB597 on pain-stimulated and pain-depressed behavior in rats. Behavioural Pharmacology, 25(2), 119-129. doi:10.1097/FBP.0000000000000023
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¹⁶⁰⁰Vallgårda, S. (2015). English obesity policies: To govern and not to govern. Health Policy, 119(6), 743-748. doi:10.1016/j.healthpol.2015.02.015
¹⁶⁰¹Mazurek, M., McGee, M., Minchin, W., Crowe, M. A., & Earley, B. (2011). Is the avoidance distance test for the assessment of animals’ responsiveness to humans influenced by either the dominant or flightiest animal in the group? Applied Animal Behaviour Science, 132(3-4), 107-113. doi:10.1016/j.applanim.2011.03.001
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¹⁶⁰⁴Huikkola, T., Ylimäki, J., & Kohtamäki, M. (2013). Joint learning in R&D collaborations and the facilitating relational practices. Industrial Marketing Management, 42(7), 1167-1180. doi:10.1016/j.indmarman.2013.07.002
¹⁶⁰⁵Dhami, M. K., Lundrigan, S., & Mueller-Johnson, K. (2015). Instructions on reasonable doubt: Defining the standard of proof and the juror’s task. Psychology, Public Policy, and Law, 21(2), 169-178. doi:10.1037/law0000038
¹⁶⁰⁶Madukwe, A. U. (2013). Motivational interview: Evidence based strategy in the treatment of alcohol and drug addiction. IFE Psychologia: An International Journal, 21(3), 257-288.
¹⁶⁰⁷Kelmanson, I. A. (2015). Recurrent respiratory infections and psychological problems in junior school children. Early Child Development and Care, 185(9), 1437-1451. doi:10.1080/03004430.2014.1002970
¹⁶⁰⁸Gil, G. P., Dessotte, C. A. M., Schmidt, A., Rossi, L. A., & Dantas, R. A. S. (2012). Clinical evolution of patients hospitalized due to the first episode of Acute Coronary Syndrome. Revista Latino-Americana de Enfermagem, 20(5), 830-837. doi:10.1590/S0104-11692012000500003
¹⁶⁰⁹Peigneux, P., & Bassetti, C. (2012). Global and local actions in the sleep domain: The ESRS perspective. Journal of Sleep Research, 21(6), 725-725. doi:10.1111/jsr.12016
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¹⁶¹²Kitamura, H. (2013). Review of research on social priming: On trait priming, goal priming, evaluative priming, affective priming, and mind-set priming. Cognitive Studies: Bulletin of the Japanese Cognitive Science Society, 20(3), 293-306.
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¹⁶¹⁴Akiyama, T., Kobayashi, K., Higashikage, A., Sato, J., & Yoshinaga, H. (2014). CSF/plasma ratios of amino acids: Reference data and transports in children. Brain & Development, 36(1), 3-9. doi:10.1016/j.braindev.2012.12.001
¹⁶¹⁵Ruzich, E., Allison, C., Smith, P., Ring, H., Auyeung, B., & Baron‐Cohen, S. (2016). The autism‐spectrum quotient in siblings of people with autism. Autism Research. doi:10.1002/aur.1651
¹⁶¹⁶Bergman, B. G. (2016). Assessing impacts of locally designed environmental education projects on students’ environmental attitudes, awareness, and intention to act. Environmental Education Research, 22(4), 480-503. doi:10.1080/13504622.2014.999225
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¹⁶¹⁹Brown-Wright, L., Tyler, K. M., Graves, S. L., Thomas, D., Stevens-Watkins, D., & Mulder, S. (2013). Examining the associations among home–school dissonance, amotivation, and classroom disruptive behavior for urban high school students. Education and Urban Society, 45(1), 142-162. doi:10.1177/0013124511408715
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¹⁶²⁵Tavazzi, E., Laganà, M. M., Bergsland, N., Tortorella, P., Pinardi, G., Lunetta, C., . . . Rovaris, M. (2015). Grey matter damage in progressive multiple sclerosis versus amyotrophic lateral sclerosis: A voxel-based morphometry MRI study. Neurological Sciences, 36(3), 371-377. doi:10.1007/s10072-014-1954-7
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¹⁶²⁷Günther, T., Kahraman-Lanzerath, B., Knospe, E. L., Herpertz-Dahlmann, B., & Konrad, K. (2012). Modulation of attention-deficit/hyperactivity disorder symptoms by short- and long-acting methylphenidate over the course of a day. Journal of Child and Adolescent Psychopharmacology, 22(2), 131-138. doi:10.1089/cap.2010.0146
¹⁶²⁸Paolini, S., Harwood, J., Rubin, M., Husnu, S., Joyce, N., & Hewstone, M. (2014). Positive and extensive intergroup contact in the past buffers against the disproportionate impact of negative contact in the present. European Journal of Social Psychology, 44(6), 548-562. doi:10.1002/ejsp.2029
¹⁶²⁹Besemer, S., & Farrington, D. P. (2012). Intergenerational transmission of criminal behaviour: Conviction trajectories of fathers and their children. European Journal of Criminology, 9(2), 120-141. doi:10.1177/1477370811422801
¹⁶³⁰Wang, Y.-L., & Volker, D. L. (2013). Caring for students with type 1 diabetes: School nurses’ experiences. The Journal of School Nursing, 29(1), 31-38. doi:10.1177/1059840512447123
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¹⁶³³Papathanassis, A. (2012). Guest-to-guest interaction on board cruise ships: Exploring social dynamics and the role of situational factors. Tourism Management, 33(5), 1148-1158. doi:10.1016/j.tourman.2011.11.016
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¹⁶³⁵Ridler, K., Gunn, R. N., Searle, G. E., Barletta, J., Passchier, J., Dixson, L., . . . Rabiner, E. A. (2014). Characterising the plasma-target occupancy relationship of the neurokinin antagonist GSK1144814 with PET. Journal of Psychopharmacology, 28(3), 244-253. doi:10.1177/0269881113517953
¹⁶³⁶Abuqamar, M., Coomans, D., & Louckx, F. (2012). Health behaviour and health awareness in infant mortality in the Gaza Strip. European Journal of Public Health, 22(4), 539-544. doi:10.1093/eurpub/ckr105
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¹⁶³⁸Janssen, X., Mann, K. D., Basterfield, L., Parkinson, K. N., Pearce, M. S., Reilly, J. K., . . . Reilly, J. J. (2016). Development of sedentary behavior across childhood and adolescence: Longitudinal analysis of the Gateshead Millennium Study. The International Journal of Behavioral Nutrition and Physical Activity, 13.
¹⁶³⁹Compton, D. L. R., Farris, D. N., & Chang, Y.-T. (2015). Patterns of bisexuality in America. Journal of Bisexuality, 15(4), 481-497. doi:10.1080/15299716.2015.1048919
¹⁶⁴⁰Oostindjer, M., Aschemann-Witzel, J., Wang, Q., Skuland, S. E., Egelandsdal, B., Amdam, G. V., … van Kleef, E. (2016). Are School Meals a Viable and Sustainable Tool to Improve the Healthiness and Sustainability of Children´s Diet and Food Consumption? A Cross-national Comparative Perspective. Critical Reviews in Food Science and Nutrition, 00–00. doi:10.1080/10408398.2016.1197180
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¹⁶⁴³Grigoriadis, N., & van Pesch, V. (2015). A basic overview of multiple sclerosis immunopathology. European Journal of Neurology, 22(Suppl 2), 3-13. doi:10.1111/ene.12798
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¹⁶⁵⁴Zyskind, J. W., Wang, Y., Cho, G., Ting, J. H., Kolson, D. L., Lynch, D. R., & Jordan‐Sciutto, K. L. (2015). E2F1 in neurons is cleaved by calpain in an NMDA receptor‐dependent manner in a model of HIV‐induced neurotoxicity. Journal of Neurochemistry, 132(6), 742-755. doi:10.1111/jnc.12956
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¹⁶⁵⁶Burnett, G. E., Lawson, G., Donkor, R., & Kuriyagawa, Y. (2013). Menu hierarchies for in-vehicle user-interfaces: Modelling the depth vs. breadth trade-off. Displays, 34(4), 241-249. doi:10.1016/j.displa.2013.07.001
¹⁶⁵⁷Etminan, M., Carleton, B., & Brophy, J. M. (2015). Risperidone and risk of gynecomastia in young men. Journal of Child and Adolescent Psychopharmacology, 25(9), 671-673. doi:10.1089/cap.2015.0024
¹⁶⁵⁸Ward, C., Sanders, M. R., Gardner, F., Mikton, C., & Dawes, A. (2016). Preventing child maltreatment in low- and middle-income countries: Parent support programs have the potential to buffer the effects of poverty. Child Abuse & Neglect, 54, 97-107. doi:10.1016/j.chiabu.2015.11.002
¹⁶⁵⁹Rahman, M. M., Kerskens, C. M., Chattarji, S., & O’Mara, S. M. (2014). Chronic immobilization stress occludes in vivo cortical activation in an animal model of panic induced by carbon dioxide inhalation. Frontiers in Behavioral Neuroscience, 8.
¹⁶⁶⁰Escolano-Pérez, E., Herrero-Nivela, M. L., & Echeverría-Expósito, R. (2014). La resolución de problemas como estrategia de enseñanza para el aprendizaje de la táctica ofensiva en la categoría pre-benjamín de fútbol 8. = Problem solving as a strategy in teaching offensive tactics at the under 8 level in 8-a-side-soccer. Revista de Psicología del Deporte, 23(1), 209-217.
¹⁶⁶¹Hilchey, M. D., Satel, J., Ivanoff, J., & Klein, R. M. (2013). On the nature of the delayed ‘inhibitory’ Cueing effects generated by uninformative arrows at fixation. Psychonomic Bulletin & Review, 20(3), 593-600. doi:10.3758/s13423-013-0376-5
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¹⁶⁶³Anwar, H., Hepburn, I., Nedelescu, H., Chen, W., & De Schutter, E. (2013). Stochastic calcium mechanisms cause dendritic calcium spike variability. The Journal of Neuroscience, 33(40), 15848-15867. doi:10.1523/JNEUROSCI.1722-13.2013
¹⁶⁶⁴Fuchs, E., Gruber, T., Pree, H., & Sick, B. (2010). Temporal data mining using shape space representations of time series. Neurocomputing: An International Journal, 74(1-3), 379-393. doi:10.1016/j.neucom.2010.03.022
¹⁶⁶⁵Carnes-Holt, K., & Weatherford, J. (2013). Intensive play therapy training for rural mental health counselors. The Family Journal, 21(1), 80-86. doi:10.1177/1066480712456825
¹⁶⁶⁶Byrnes, H. F., Miller, B. A., Bourdeau, B., Johnson, M. B., & Voas, R. B. (2016). Drinking group characteristics related to willingness to engage in protective behaviors with the group at nightclubs. Psychology of Addictive Behaviors, 30(2), 168-174. doi:10.1037/adb0000142
¹⁶⁶⁷Hargreaves, I. S., & Pexman, P. M. (2012). Does richness lose its luster? Effects of extensive practice on semantic richness in visual word recognition. Frontiers in Human Neuroscience, 6. doi:10.3389/fnhum.2012.00234
¹⁶⁶⁸Engster, K.-M., Kroczek, A. L., Rose, M., Stengel, A., & Kobelt, P. (2016). Peripheral injection of bombesin induces c-Fos in NUCB2/nesfatin-1 neurons. Brain Research, 1648(Part A), 46-53. doi:10.1016/j.brainres.2016.07.006
¹⁶⁶⁹Kovács, M., Kovács, E., & Hegedűs, K. (2010). Is emotional dissonance more prevalent in oncology care? Emotion work, burnout and coping. Psycho-Oncology, 19(8), 855-862. doi:10.1002/pon.1631
¹⁶⁷⁰Polo-Hernández, E., Tello, V., Arroyo, Á. A., Domínguez-Prieto, M., de Castro, F., Tabernero, A., & Medina, J. M. (2014). Oleic acid synthesized by stearoyl-CoA desaturase (SCD-1) in the lateral periventricular zone of the developing rat brain mediates neuronal growth, migration and the arrangement of prospective synapses. Brain Research, 1570, 13-25. doi:10.1016/j.brainres.2014.04.038
¹⁶⁷¹Takanari, J., Hirayama, Y., Homma, K., Miura, T., Nishioka, H., & Maeda, T. (2015). Effects of active hexose correlated compound on the seasonal variations of immune competence in healthy subjects. Journal of Evidence-Based Complementary & Alternative Medicine, 20(1), 28-34. doi:10.1177/2156587214555573
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¹⁶⁷⁴Jansson, A. (2013). Mediatization and social space: Reconstructing mediatization for the transmedia age. Communication Theory, 23(3), 279-296. doi:10.1111/comt.12015
¹⁶⁷⁵Dhobale, M. V., Pisal, H. R., Mehendale, S. S., & Joshi, S. R. (2013). Differential expression of human placental neurotrophic factors in preterm and term deliveries. International Journal of Developmental Neuroscience, 31(8), 719-723. doi:10.1016/j.ijdevneu.2013.09.006
¹⁶⁷⁶Åkerstedt, T., Garefelt, J., Richter, A., Westerlund, H., Hanson, L. L. M., Sverke, M., & Kecklund, G. (2015). Work and sleep—A prospective study of psychosocial work factors, physical work factors, and work scheduling. Sleep: Journal of Sleep and Sleep Disorders Research, 38(7), 1129-1136.
¹⁶⁷⁷Kulikova, S., Hertz-Pannier, L., Dehaene-Lambertz, G., Buzmakov, A., Poupon, C., & Dubois, J. (2015). Multi-parametric evaluation of the white matter maturation. Brain Structure & Function, 220(6), 3657-3672. doi:10.1007/s00429-014-0881-y
¹⁶⁷⁸Kirov, G., Pocklington, A. J., Holmans, P., Ivanov, D., Ikeda, M., Ruderfer, D., . . . Owen, M. J. (2012). De novo CNV analysis implicates specific abnormalities of postsynaptic signalling complexes in the pathogenesis of schizophrenia. Molecular Psychiatry, 17(2), 142-153. doi:10.1038/mp.2011.154
¹⁶⁷⁹Ali, M., & Park, K. (2016). The mediating role of an innovative culture in the relationship between absorptive capacity and technical and non-technical innovation. Journal of Business Research, 69(5), 1669-1675. doi:10.1016/j.jbusres.2015.10.036
¹⁶⁸⁰Monclaro, A. V., Sampaio, A. C., Ribeiro, N. B., & Barros, M. (2014). Time-of-day effect on a food-induced conditioned place preference task in monkeys. Behavioural Brain Research, 259, 336-341. doi:10.1016/j.bbr.2013.11.026
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¹⁶⁸²Ford, P. R., Low, J., McRobert, A. P., & Williams, A. M. (2010). Developmental activities that contribute to high or low performance by elite cricket batters when recognizing type of delivery from bowlers’ advanced postural cues. Journal of Sport & Exercise Psychology, 32(5), 638-654.
¹⁶⁸³Maniscalco, B., & Lau, H. (2012). A signal detection theoretic approach for estimating metacognitive sensitivity from confidence ratings. Consciousness and Cognition: An International Journal, 21(1), 422-430. doi:10.1016/j.concog.2011.09.021
¹⁶⁸⁴Varghese, T. (2011). Considerations concerning Balacheff’s 1988 taxonomy of mathematical proofs. Eurasia Journal of Mathematics, Science & Technology Education, 7(3), 181-192.
¹⁶⁸⁵Motawaj, M., & Arrang, J. M. (2011). Ciproxifan, a histamine H₃‐receptor antagonist/inverse agonist, modulates methamphetamine‐induced sensitization in mice. European Journal of Neuroscience, 33(7), 1197-1204. doi:10.1111/j.1460-9568.2011.07618.x
¹⁶⁸⁶Woodley of Menie, M. A., Peñaherrera, M. A., Fernandes, H. B. F., Becker, D., & Flynn, J. R. (2016). It’s getting bigger all the time: Estimating the Flynn effect from secular brain mass increases in Britain and Germany. Learning and Individual Differences, 45, 95-100. doi:10.1016/j.lindif.2015.11.004
¹⁶⁸⁷Spoljar, P. (2014). Aspects du scientisme dans l’article «Émotion» (Paul Fraisse). Essai d’analyse rhétorique de cinq phrases introductives. = Aspects of scientism in the article «Émotion» (Paul Fraisse). Rhetorical analysis essay of five introductory sentences. Nouvelle Revue de Psychosociologie, 17, 193-204.
¹⁶⁸⁸Williford, A. (2015). Intervening in bullying: Differences across elementary school staff members in attitudes, perceptions, and self-efficacy beliefs. Children & Schools, 37(3), 175-184. doi:10.1093/cs/cdv017
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¹⁶⁹⁴Ghosh, J. K. C., Wilhelm, M. H., Dunkel-Schetter, C., Lombardi, C. A., & Ritz, B. R. (2010). Paternal support and preterm birth, and the moderation of effects of chronic stress: A study in Los Angeles County mothers. Archives of Women’s Mental Health, 13(4), 327-338. doi:10.1007/s00737-009-0135-9
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¹⁶⁹⁷Dubus, N. (2014). Applied learning: A project for graduate social work students. Social Work Education, 33(2), 254-270. doi:10.1080/02615479.2013.805193
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¹⁷⁰⁶Choi, E. P. H., Wong, C. K. H., Wan, E. Y. F., Tsu, J. H. L., Chin, W. Y., Kung, K., & Yiu, M. K. (2016). The internal and external responsiveness of functional assessment of cancer therapy-prostate (fact-p) and short form-12 health survey version 2 (sf-12 v2) in patients with prostate cancer. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care & Rehabilitation. doi:10.1007/s11136-016-1254-1
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¹⁷¹⁴Chou, H.-T. G., & Liska, B. (2013). Effects of birth order on an individual’s image of God within a White, Mormon sample. The Journal of Individual Psychology, 69(2), 143-155.
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¹⁸⁴⁴Fiorentino, R., Naito-Billen, Y., Bost, J., & Fund-Reznicek, E. (2014). Electrophysiological evidence for the morpheme-based combinatoric processing of English compounds. Cognitive Neuropsychology, 31(1-2), 123-146. doi:10.1080/02643294.2013.855633
¹⁸⁴⁵Meinck, F., Cluver, L. D., Boyes, M. E., & Mhlongo, E. L. (2015). Risk and protective factors for physical and sexual abuse of children and adolescents in Africa: A review and implications for practice. Trauma, Violence, & Abuse, 16(1), 81-107. doi:10.1177/1524838014523336
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¹⁸⁴⁸Otero Rodríguez, J., Alés Portillo, A., Vucínovich, N., & Guerrero Serrano, E. (2011). El dibujo de la figura humana en pacientes esquizofrénicos. = The human figure drawings in schizophrenic patients. Apuntes de Psicología, 29(3), 413-423.
¹⁸⁴⁹Foschi, R., Pelucchi, C., Dal Maso, L., Rossi, M., Levi, F., Talamini, R., . . . La Vecchia, C. (2010). Citrus fruit and cancer risk in a network of case–control studies. Cancer Causes & Control, 21(2), 237-242. doi:10.1007/s10552-009-9454-4
¹⁸⁵⁰Coetzee, M., & Beukes, C. J. (2010). Employability, emotional intelligence and career preparation support satisfaction among adolescents in the school-to-work transition phase. Journal of Psychology in Africa, 20(3), 439-446.
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¹⁸⁵⁷Santos, M., Xekardaki, A., Kövari, E., Gold, G., Bouras, C., & Giannakopoulos, P. (2012). Microvascular pathology in late-life depression. Journal of the Neurological Sciences, 322(1-2), 46-49. doi:10.1016/j.jns.2012.05.048
¹⁸⁵⁸Lawson, G. W. (2011). Report of a breech cesarean section maternal death. Birth: Issues in Perinatal Care, 38(2), 159-161. doi:10.1111/j.1523-536X.2010.00463.x
¹⁸⁵⁹Guller, L., Zapolski, T. C. B., & Smith, G. T. (2015). Longitudinal test of a reciprocal model of smoking expectancies and smoking experience in youth. Psychology of Addictive Behaviors, 29(1), 201-210. doi:10.1037/adb0000002
¹⁸⁶⁰Ruthsatz, V., Neuburger, S., Jansen, P., & Quaiser-Pohl, C. (2015). Cars or dolls? Influence of the stereotyped nature of the items on children’s mental-rotation performance. Learning and Individual Differences, 43, 75-82. doi:10.1016/j.lindif.2015.08.016
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¹⁸⁶²Dolinski, D., & Szczucka, K. (2013). Emotional disrupt‐then‐reframe technique of social influence. Journal of Applied Social Psychology, 43(10), 2031-2041. doi:10.1111/jasp.12156
¹⁸⁶³Taboada, M., Martínez‐Tomás, R., & Ferrández, J. M. (2011). New perspectives on the application of expert systems. Expert Systems: International Journal of Knowledge Engineering and Neural Networks, 28(4), 285-287. doi:10.1111/j.1468-0394.2011.00599.x
¹⁸⁶⁴Parker, D. C., McMaster, K. L., & Burns, M. K. (2011). Determining an instructional level for early writing skills. School Psychology Review, 40(1), 158-167.
¹⁸⁶⁵Raznahan, A., Lee, Y., Vaituzis, C., Tran, L., Mackie, S., Tiemeier, H., . . . Giedd, J. N. (2012). Allelic variation within the putative autism spectrum disorder risk gene homeobox A1 and cerebellar maturation in typically developing children and adolescents. Autism Research, 5(2), 93-100. doi:10.1002/aur.238
¹⁸⁶⁶Baggio, H. C., Segura, B., Ibarretxe-Bilbao, N., Valldeoriola, F., Marti, M. J., Compta, Y., . . . Junqué, C. (2012). Structural correlates of facial emotion recognition deficits in Parkinson’s disease patients. Neuropsychologia, 50(8), 2121-2128. doi:10.1016/j.neuropsychologia.2012.05.020
¹⁸⁶⁷Woods, H. C., & Scott, H. (2016). #Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. Journal of Adolescence, 51, 41-49. doi:10.1016/j.adolescence.2016.05.008
¹⁸⁶⁸Swerdlow, N. R., Light, G. A., Sprock, J., Calkins, M. E., Green, M. F., Greenwood, T. A., . . . Braff, D. L. (2014). Deficient prepulse inhibition in schizophrenia detected by the multi-site COGS. Schizophrenia Research, 152(2-3), 503-512. doi:10.1016/j.schres.2013.12.004
¹⁸⁶⁹Soodla, P., Lerkkanen, M.-K., Niemi, P., Kikas, E., Silinskas, G., & Nurmi, J.-E. (2015). Does early reading instruction promote the rate of acquisition? A comparison of two transparent orthographies. Learning and Instruction, 38, 14-23. doi:10.1016/j.learninstruc.2015.02.002
¹⁸⁷⁰Kozlowski, A. M., Matson, J. L., Worley, J. A., Sipes, M., & Horovitz, M. (2012). Defining characteristics for young children meeting cutoff on the Modified Checklist for Autism in Toddlers. Research in Autism Spectrum Disorders, 6(1), 472-479. doi:10.1016/j.rasd.2011.07.007
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¹⁸⁷²Mesman, J., & Emmen, R. A. G. (2013). Mary Ainsworth’s legacy: A systematic review of observational instruments measuring parental sensitivity. Attachment & Human Development, 15(5-6), 485-506. doi:10.1080/14616734.2013.820900
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¹⁸⁷⁴Hong, J.-C., Chiu, P.-Y., Shih, H.-F., & Lin, P.-S. (2012). Computer self-efficacy, competitive anxiety and flow state: Escaping from firing online game. TOJET: The Turkish Online Journal of Educational Technology, 11(3), 70-76.
¹⁸⁷⁵Vogel, C. (2014). Denoting offence. Cognitive Computation, 6(4), 628-639. doi:10.1007/s12559-014-9289-5
¹⁸⁷⁶Perez, R. J. (2016). Exploring developmental differences in students’ sensemaking during the transition to graduate school. Journal of College Student Development, 57(7), 763-777. doi:10.1353/csd.2016.0077
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¹⁸⁷⁸De Vries, A., De Vries, R., & Born, M. P. (2011). Broad vs. narrow traits: Conscientiousness and honesty-humility as predictors of academic criteria. European Journal of Personality, 25(5), 336-348. doi:10.1002/per.795
¹⁸⁷⁹Matsumoto, H., Hanajima, R., Terao, Y., Hashida, H., & Ugawa, Y. (2013). Neurophysiological analysis of the cauda equina in POEMS syndrome. Neurological Sciences, 34(1), 121-122. doi:10.1007/s10072-012-0950-z
¹⁸⁸⁰Zhang, X., Liu, M., Zhu, M., Shi, J., & Cheng, L. (2010). Personality predictors of posttraumatic stress disorder in orphaned survivors of the Sichuan earthquake. Social Behavior and Personality, 38(8), 1057-1060. doi:10.2224/sbp.2010.38.8.1057
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¹⁸⁸⁴Forbes, C. T., Zangori, L., & Schwarz, C. V. (2015). Empirical validation of integrated learning performances for hydrologic phenomena: 3rd‐grade students’ model‐driven explanation‐construction. Journal of Research in Science Teaching, 52(7), 895-921. doi:10.1002/tea.21226
¹⁸⁸⁵Baumert, J., Becker, M., Neumann, M., & Nikolova, R. (2010). Besondere förderung von kernkompetenzen an spezialgymnasien? Der frühübergang in grundständige gymnasien in Berlin. = Do academic tracks with specific curricular profiles accelerate the development of achievement in reading, mathematics, and English literacy? Early transition to the academic track of secondary schooling in Berlin. Zeitschrift für Pädagogische Psychologie / German Journal of Educational Psychology, 24(1), 5-22. doi:10.1024/1010-0652.a000001
¹⁸⁸⁶Sarche, M., Tafoya, G., Croy, C. D., & Hill, K. (2016). American indian and alaska native boys: Early childhood risk and resilience amidst context and culture. Infant Mental Health Journal. doi:10.1002/imhj.21613
¹⁸⁸⁷Berent, I., & Lennertz, T. (2010). Universal constraints on the sound structure of language: Phonological or acoustic? Journal of Experimental Psychology: Human Perception and Performance, 36(1), 212-223. doi:10.1037/a0017638
¹⁸⁸⁸Rudolf, R. (2014). Work shorter, be happier? Longitudinal evidence from the Korean five-day working policy. Journal of Happiness Studies, 15(5), 1139-1163. doi:10.1007/s10902-013-9468-1
¹⁸⁸⁹Tanaka, S., Maruyama, Y., Ooshima, S., & Ito, H. (2011). Working condition of nurses in Japan: Awareness of work–life balance among nursing personnel at a university hospital. Journal of Clinical Nursing, 20(1-2), 12-22. doi:10.1111/j.1365-2702.2010.03354.x
¹⁸⁹⁰Connor, C. M., Phillips, B. M., Kaschak, M., Apel, K., Kim, Y.-S., Otaiba, S., . . . Lonigan, C. J. (2014). Comprehension Tools for Teachers: Reading for understanding from prekindergarten through fourth grade. Educational Psychology Review, 26(3), 379-401. doi:10.1007/s10648-014-9267-1
¹⁸⁹¹Ohene, S.-A., Johnson, K., Atunah-Jay, S., Owusu, A., & Borowsky, I. W. (2015). Sexual and physical violence victimization among senior high school students in Ghana: Risk and protective factors. Social Science & Medicine, 146, 266-275. doi:10.1016/j.socscimed.2015.10.019
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¹⁸⁹³Leighton, S. (2010). Using a vignette-based questionnaire to explore adolescents’ understanding of mental health issues. Clinical Child Psychology and Psychiatry, 15(2), 231-250. doi:10.1177/1359104509340234
¹⁸⁹⁴Hathaway, W. L. (2016). Ethical engagement with spirituality in clinical practice: Managing bias. Spirituality in Clinical Practice, 3(1), 14-17. doi:10.1037/scp0000100
¹⁸⁹⁵Chambers, D., & Buzinde, C. (2015). Tourism and decolonisation: Locating research and self. Annals of Tourism Research, 51, 1-16. doi:10.1016/j.annals.2014.12.002
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¹⁸⁹⁷Jankowski, K. S., Vollmer, C., Linke, M., & Randler, C. (2014). Differences in sun time within the same time zone affect sleep–wake and social rhythms, but not morningness preference: Findings from a Polish–German comparison study. Time & Society, 23(2), 258-276. doi:10.1177/0961463X14535911
¹⁸⁹⁸Harford, T. C., Yi, H.-Y., & Grant, B. F. (2010). The five-year diagnostic utility of ‘diagnostic orphans’ for alcohol use disorders in a national sample of young adults. Journal of Studies on Alcohol and Drugs, 71(3), 410-417.
¹⁸⁹⁹Karelina, K., Sarac, B., Freeman, L. M., Gaier, K. R., & Weil, Z. M. (2016). Traumatic brain injury and obesity induce persistent central insulin resistance. European Journal of Neuroscience, 43(8), 1034-1043. doi:10.1111/ejn.13194
¹⁹⁰⁰Pyka, M., Hahn, T., Heider, D., Krug, A., Sommer, J., Kircher, T., & Jansen, A. (2013). Baseline activity predicts working memory load of preceding task condition. Human Brain Mapping, 34(11), 3010-3022. doi:10.1002/hbm.22121
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¹⁹⁰⁴Cheyney, M., Olsen, C., Bovbjerg, M., Everson, C., Darragh, I., & Potter, B. (2015). Practitioner and practice characteristics of certified professional midwives in the United States: Results of the 2011 North American Registry of Midwives Survey. Journal of Midwifery & Women’s Health, 60(5), 534-545. doi:10.1111/jmwh.12367
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¹⁹⁰⁸Seiter, J. S., & Weger, H. (2014). The Principle of Reciprocity in Hospitality Contexts: The Relationship Between Tipping Behavior and Food Servers’ Approaches to Handling Leftovers. Journal of Hospitality & Tourism. Doi:10.1177/1096348014562425
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¹⁹¹⁵Beltramo, T., Blalock, G., Levine, D. I., & Simons, A. M. (2015). Does peer use influence adoption of efficient cookstoves? Evidence from a randomized controlled trial in Uganda. Journal of Health Communication, 20(Suppl 1), 55-66. doi:10.1080/10810730.2014.994244
¹⁹¹⁶Wells, D. L., & Hepper, P. G. (2012). The personality of ‘aggressive’ and ‘non-aggressive’ dog owners. Personality and Individual Differences, 53(6), 770-773. doi:10.1016/j.paid.2012.05.038
¹⁹¹⁷Pires, S., & Clarke, R. V. (2012). Are parrots CRAVED? An analysis of parrot poaching in Mexico. Journal of Research in Crime and Delinquency, 49(1), 122-146. doi:10.1177/0022427810397950
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¹⁹²⁰Piqueras-Fiszman, B., Laughlin, Z., Miodownik, M., & Spence, C. (2012). Tasting spoons: Assessing how the material of a spoon affects the taste of the food. Food Quality and Preference, 24(1), 24-29. doi:10.1016/j.foodqual.2011.08.005
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¹⁹²³Lilaonitkul, W., & Guinan, J. J., Jr. (2012). Frequency tuning of medial-olivocochlear-efferent acoustic reflexes in humans as functions of probe frequency. Journal of Neurophysiology, 107(6), 1598-1611. doi:10.1152/jn.00549.2011
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¹⁹³⁴Fei, H.-L., Scott, M. B., Zhang, W., Ma, C.-Y., Xiang, Z.-F., & Fan, P.-F. (2012). Sleeping tree selection of Cao Vit gibbon (Nomascus nasutus) living in degraded Karst Forest in Bangliang, Jingxi, China. American Journal of Primatology, 74(11), 998-1005. doi:10.1002/ajp.22049
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²²⁴⁷Vennemeyer, J. J., Hopkins, T., Kuhlmann, J., Heineman, W. R., & Pixley, S. K. (2014). Effects of elevated magnesium and substrate on neuronal numbers and neurite outgrowth of neural stem/progenitor cells in vitro. Neuroscience Research, 84, 72-78. doi:10.1016/j.neures.2014.05.001
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²²⁵¹Wilson, R. J., Abracen, J., Looman, J., Picheca, J. E., & Ferguson, M. (2011). Pedophilia: An evaluation of diagnostic and risk prediction methods. Sexual Abuse: Journal of Research and Treatment, 23(2), 260-274. doi:10.1177/1079063210384277
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²²⁵⁴Chicorelli, J., Dennie, A., Heinrich, C., Hinchey, B., Honarparvar, F., Jennings, M., . . . Livingston, L. A. (2016). Canadian student leaders’ perspective on interprofessional education: A consensus statement. Journal of Interprofessional Care, 30(4), 545-547. doi:10.3109/13561820.2016.1159187
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³²⁹³Aghajanian, A., & Thompson, V. (2013). Female headed households in Iran (1976–2006). Marriage & Family Review, 49(2), 115-134. doi:10.1080/01494929.2012.728558
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³³⁰⁰Hassan, A., Wu, S. S., Schmidt, P., Dai, Y., Simuni, T., Giladi, N., . . . Okun, M. S. (2013). High rates and the risk factors for emergency room visits and hospitalization in Parkinson’s disease. Parkinsonism & Related Disorders, 19(11), 949-954. doi:10.1016/j.parkreldis.2013.06.006
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³³⁰³Stevens, C., & Kelly, P. (2012). Change and renewal: The role of a change team in improving student support. Open Learning: The Journal of Open and Distance Learning, 27(2), 137-148.
³³⁰⁴Hatzenbuehler, M. L., Phelan, J. C., & Link, B. G. (2013). Stigma as a fundamental cause of population health inequalities. American Journal of Public Health, 103(5), 813-821. doi:10.2105/AJPH.2012.301069
³³⁰⁵Prpic, V., Fumarola, A., De Tommaso, M., Luccio, R., Murgia, M., & Agostini, T. (2016). Separate mechanisms for magnitude and order processing in the spatial-numerical association of response codes (SNARC) effect: The strange case of musical note values. Journal of Experimental Psychology: Human Perception and Performance, 42(8), 1241-1251. doi:10.1037/xhp0000217
³³⁰⁶Gonzalez-Mulé, E., Courtright, S. H., DeGeest, D., Seong, J.-Y., & Hong, D.-S. (2014). Channeled autonomy: The joint effects of autonomy and feedback on team performance through organizational goal clarity. Journal of Management. doi:10.1177/0149206314535443
³³⁰⁷Danay, E., & Ziegler, M. (2011). Is there really a single factor of personality? A multirater approach to the apex of personality. Journal of Research in Personality, 45(6), 560-567. doi:10.1016/j.jrp.2011.07.003
³³⁰⁸Azizi-Malekabadi, H., Pourganji, M., Zabihi, H., Saeedjalali, M., & Hosseini, M. (2015). Tamoxifen antagonizes the effects of ovarian hormones to induce anxiety and depression-like behavior in rats. Arquivos de Neuro-Psiquiatria, 73(2), 132-139. doi:10.1590/0004-282X20140221
³³⁰⁹Stanciu, I., Biehl, S. C., & Hesse, C. (2016). Increased cognitive demands boost the spatial interference effect in bimanual pointing. Psychological Research. doi:10.1007/s00426-016-0762-5
³³¹⁰Brown, A. D., & Toyoki, S. (2013). Identity work and legitimacy. Organization Studies, 34(7), 875-896.
³³¹¹Xiong, H., Pang, J., Yang, H., Dai, M., Liu, Y., Ou, Y., . . . Zheng, Y. (2015). Activation of miR-34a/SIRT1/p53 signaling contributes to cochlear hair cell apoptosis: implications for age-related hearing loss. Neurobiology of Aging, 36(4), 1692-1701. doi:10.1016/j.neurobiolaging.2014.12.034
³³¹²Letourneau, E. J., Nietert, P. J., & Rheingold, A. A. (2016). Initial assessment of Stewards of Children program effects on child sexual abuse reporting rates in selected South Carolina counties. Child Maltreatment, 21(1), 74-79. doi:10.1177/1077559515615232
³³¹³Gaunt, R. (2013). Ambivalent sexism and perceptions of men and women who violate gendered family roles. Community, Work & Family, 16(4), 401-416. doi:10.1080/13668803.2013.779231
³³¹⁴Lauz, G. V. M., & Borges, J. L. (2013). Concepção de família por parte de crianças em situação de acolhimento institucional e por parte de profissionais. = Concept of family by children in residential care and by professionals. Psicologia: Ciência e Profissâo, 33(4), 852-867.
³³¹⁵Capaldi, D. M., Knoble, N. B., Shortt, J. W., & Kim, H. K. (2012). A systematic review of risk factors for intimate partner violence. Partner Abuse, 3(2), 231-280. doi:10.1891/1946-6560.3.2.231
³³¹⁶Neblett, R., Hartzell, M. M., Mayer, T. G., Bradford, E. M., & Gatchel, R. J. (2016). Establishing clinically meaningful severity levels for the Tampa Scale for Kinesiophobia (TSK-13). European Journal of Pain, 20(5), 701-710. doi:10.1002/ejp.795
³³¹⁷Zinzow, H. M., Rheingold, A. A., Byczkiewicz, M., Saunders, B. E., & Kilpatrick, D. G. (2011). Examining posttraumatic stress symptoms in a national sample of homicide survivors: Prevalence and comparison to other violence victims. Journal of Traumatic Stress, 24(6), 743-746. doi:10.1002/jts.20692
³³¹⁸Carney, N., Lujan, S., Dikmen, S., Temkin, N., Petroni, G., Pridgeon, J., . . . Chesnut, R. (2012). Intracranial pressure monitoring in severe traumatic brain injury in Latin America: Process and methods for a multi-center randomized controlled trial. Journal of Neurotrauma, 29(11), 2022-2029. doi:10.1089/neu.2011.2019
³³¹⁹Pachernegg, S., Strutz-Seebohm, N., & Hollmann, M. (2012). GluN3 subunit-containing NMDA receptors: Not just one-trick ponies. Trends in Neurosciences, 35(4), 240-249. doi:10.1016/j.tins.2011.11.010
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³³²¹Sai, L., Lin, X., Hu, X., & Fu, G. (2014). Detecting concealed information using feedback related event-related brain potentials. Brain and Cognition, 90, 142-150. doi:10.1016/j.bandc.2014.06.012
³³²²Franco-Mariscal, A. J. (2015). Competencias científicas en la enseñanza y el aprendizaje por investigación. Un estudio de caso sobre corrosión de metales en secundaria. = Scientific competences in teaching and learning through research. A case study about the corrosion of metals in secondary education. Enseñanza de las Ciencias Revista de investigacíon y experiencias didácticas, 33(2), 231-252. doi:10.5565/rev/ensciencias.1645
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³³²⁴He, Z., Shao, S., Zhou, J., Ke, J., Kong, R., Guo, S., . . . Song, R. (2014). Does long time spending on the electronic devices affect the reading abilities? A cross-sectional study among Chinese school-aged children. Research in Developmental Disabilities, 35(12), 3645-3654. doi:10.1016/j.ridd.2014.08.037
³³²⁵Schlotthauer, G., Torres, M. E., & Jackson-Menaldi, M. C. (2010). A pattern recognition approach to spasmodic dysphonia and muscle tension dysphonia automatic classification. Journal of Voice, 24(3), 346-353. doi:10.1016/j.jvoice.2008.10.007
³³²⁶Vaughan, C. (2014). Participatory research with youth: Idealising safe social spaces or building transformative links in difficult environments? Journal of Health Psychology, 19(1), 184-192.
³³²⁷Morales, E. G. (2014). Lived experience of Hispanic new graduate nurses—A qualitative study. Journal of Clinical Nursing, 23(9-10), 1292-1299. doi:10.1111/jocn.12339
³³²⁸Mani, N., & Plunkett, K. (2010). Twelve-month-olds know their cups from their keps and tups. Infancy, 15(5), 445-470. doi:10.1111/j.1532-7078.2009.00027.x
³³²⁹Gargallo, B., Morera, I., & García, E. (2015). Metodología innovadora en la universidad. Sus efectos sobre los procesos de aprendizaje de los estudiantes universitarios. = Innovative methodology at the university. Its effects on learning processes of university students. Anales de Psicología, 31(3), 901-915. doi:10.6018/analesps.31.3.179871
³³³⁰Bawadi, H. A., Banks, A. D., Ammari, F., Tayyem, R. F., & Jebreen, S. (2012). Stage of change of 6 health-related behaviors among patients with type 2 diabetes. Primary Care Diabetes, 6(4), 319-327. doi:10.1016/j.pcd.2012.07.003
³³³¹Angell, M. E., Nicholson, J. K., Watts, E. H., & Blum, C. (2011). Using a multicomponent adapted power card strategy to decrease latency during interactivity transitions for three children with developmental disabilities. Focus on Autism and Other Developmental Disabilities, 26(4), 206-217. doi:10.1177/1088357611421169
³³³²Winter, C. D., Whyte, T., Cardinal, J., Kenny, R., & Ballard, E. (2016). Re-exposure to the hypobaric hypoxic brain injury of high altitude: Plasma S100B levels and the possible effect of acclimatisation on blood–brain barrier dysfunction. Neurological Sciences, 37(4), 533-539. doi:10.1007/s10072-016-2521-1
³³³³Lee, S.-Y., Grantham, C. H., Shelton, S., & Meaney-Delman, D. (2012). Does activity matter: An exploratory study among mothers with preterm infants? Archives of Women’s Mental Health, 15(3), 185-192. doi:10.1007/s00737-012-0275-1
³³³⁴Kiesner, J., & Pastore, M. (2010). Day-to-day co-variations of psychological and physical symptoms of the menstrual cycle: Insights to individual differences in steroid reactivity. Psychoneuroendocrinology, 35(3), 350-363. doi:10.1016/j.psyneuen.2009.07.011
³³³⁵Demyanenko, S., & Uzdensky, A. (2016). Profiling of signaling proteins in penumbra after focal photothrombotic infarct in the rat brain cortex. Molecular Neurobiology. doi:10.1007/s12035-016-0191-x
³³³⁶Lee, Y. A. (2014). Insight for writing a qualitative research paper. Family and Consumer Sciences Research Journal, 43(1), 94-97. doi:10.1111/fcsr.12084
³³³⁷Ballesteros, S., Mayas, J., Prieto, A., Toril, P., Pita, C., de León, L. P., . . . Waterworth, J. A. (2015). A randomized controlled trial of brain training with non-action video games in older adults: Results of the 3-month follow-up. Frontiers in Aging Neuroscience, 7.
³³³⁸Burns, M., & Stevenson, C. (2013). Deconstructing national leadership: Politicians’ accounts of electoral success and failure in the Irish Lisbon Treaty referenda. British Journal of Social Psychology, 52(1), 122-139. doi:10.1111/j.2044-8309.2011.02060.x
³³³⁹Chorlton, K., & Conner, M. (2012). Can enforced behaviour change attitudes?: Exploring the influence of intelligent speed adaptation. Accident Analysis and Prevention, 48, 49-56. doi:10.1016/j.aap.2010.06.007
³³⁴⁰Gao, X., Cao, H., Ming, D., Qi, H., Wang, X., Wang, X., . . . Zhou, P. (2014). Analysis of eeg activity in response to binaural beats with different frequencies. International Journal of Psychophysiology, 94(3), 399-406. doi:10.1016/j.ijpsycho.2014.10.010
³³⁴¹Swanger, S. A., He, Y. A., Richter, J. D., & Bassell, G. J. (2013). Dendritic gluN2A synthesis mediates activity-induced NMDA receptor insertion. The Journal of Neuroscience, 33(20), 8898-8908. doi:10.1523/JNEUROSCI.0289-13.2013
³³⁴²Torubeli, V. A. (2012). Personal risk assessment of HIV/AIDS infections among Nigerian adolescent girls in secondary schools. Gender & Behaviour, 10(1), 4546-4562.
³³⁴³Nokes, K. M. (2011). Symptom disclosure by older HIV-infected persons. JANAC: Journal of the Association of Nurses in AIDS Care, 22(3), 186-192. doi:10.1016/j.jana.2010.10.006
³³⁴⁴Passingham, R. E., Chung, A., Goparaju, B., Cowey, A., & Vaina, L. M. (2014). Using action understanding to understand the left inferior parietal cortex in the human brain. Brain Research, 1582, 64-76. doi:10.1016/j.brainres.2014.07.035
³³⁴⁵Frenz, C. T., Hansen, A., Dupuis, N. D., Shultz, N., Levinson, S. R., Finger, T. E., & Dionne, V. E. (2014). NaV1.5 sodium channel window currents contribute to spontaneous firing in olfactory sensory neurons. Journal of Neurophysiology, 112(5), 1091-1104. doi:10.1152/jn.00154.2014
³³⁴⁶Tapia, D. H., Silva, A. X., Ballesteros, G. I., Figueroa, C. C., Niemeyer, H. M., & Ramírez, C. C. (2015). Differences in learning and memory of host plant features between specialist and generalist phytophagous insects. Animal Behaviour, 106, 1-10. doi:10.1016/j.anbehav.2015.04.027
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³³⁴⁹Interian, A., Ang, A., Gara, M. A., Link, B. G., Rodriguez, M. A., & Vega, W. A. (2010). Stigma and depression treatment utilization among Latinos: Utility of four stigma measures. Psychiatric Services, 61(4), 373-379. doi:10.1176/appi.ps.61.4.373
³³⁵⁰Schnekenberg, R. P., Perkins, E. M., Miller, J. W., Davies, W. I. L., D’Adamo, M. C., Pessia, M., . . . Németh, A. H. (2015). De novo point mutations in patients diagnosed with ataxic cerebral palsy. Brain: A Journal of Neurology, 138(7), 1817-1832. doi:10.1093/brain/awv117
³³⁵¹Cella, M., Serra, M., Lai, A., Mason, O. J., Sisti, D., Rocchi, M. B. L., . . . Petretto, D. R. (2013). Schizotypal traits in adolescents: Links to family history of psychosis and psychological distress. European Psychiatry, 28(4), 247-253. doi:10.1016/j.eurpsy.2012.04.002
³³⁵²Ebrahim, S. H., Kulkarni, R., Parker, C., & Atrash, H. K. (2010). Blood disorders among women: Implications for preconception care. American Journal of Preventive Medicine, 38(4, Suppl), S459-S467. doi:10.1016/j.amepre.2009.12.018
³³⁵³Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015). Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: Extending UTAUT with innovativeness, risk, and trust. Psychology & Marketing, 32(8), 860-873. doi:10.1002/mar.20823
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³³⁵⁵Yen, C.-L. (2013). It is our destiny to die: The effects of mortality salience and culture-priming on fatalism and karma belief. International Journal of Psychology, 48(5), 818-828. doi:10.1080/00207594.2012.678363
³³⁵⁶Silva, K. S., Barbosa Filho, V. C., Del Duca, G. F., de Anselmo Peres, M. A., Mota, J., da Silva Lopes, A., & Nahas, M. V. (2014). Gender differences in the clustering patterns of risk behaviours associated with non-communicable diseases in Brazilian adolescents. Preventive Medicine: An International Journal Devoted to Practice and Theory, 65, 77-81. doi:10.1016/j.ypmed.2014.04.024
³³⁵⁷Peura, P. K., Martikainen, J. A., Purmonen, T. T., & Turunen, J. H. O. (2012). Sponsorship-related outcome selection bias in published economic studies of triptans: Systematic review. Medical Decision Making, 32(2), 237-245. doi:10.1177/0272989X11403834
³³⁵⁸Bakker, A. B. (2014). Daily fluctuations in work engagement: An overview and current directions. European Psychologist, 19(4), 227-236. doi:10.1027/1016-9040/a000160
³³⁵⁹Botsford Morgan, W., & King, E. B. (2012). The association between work–family guilt and pro‐ and anti‐social work behavior. Journal of Social Issues, 68(4), 684-703. doi:10.1111/j.1540-4560.2012.01771.x
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³³⁷⁵Houck, E. A., & Ross, M. (2010). Introduction to the special issue on education in the American south: Historical perspectives and contemporary conditions. Peabody Journal of Education, 85(1), 1-3. doi:10.1080/01619560903523623
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³³⁹⁶Takeno, Y. (2010). Facilitating the transition of Asian nurses to work in Australia. Journal of Nursing Management, 18(2), 215-224. doi:10.1111/j.1365-2834.2009.01041.x
³³⁹⁷Moscato, A., & Varescon, I. (2015). Les effets psychologiques des conduites d’alcoolisation des âgés sur le vécu de la relation d’aide des professionnelles du domicile. = Psychological effects of alcohol misuse on the professional home caregivers in support with elderly people. Gériatrie et Psychologie Neuropsychiatrie du Vieillissement, 13(4), 425-433.
³³⁹⁸Primack, B. A., Shensa, A., Kim, K. H., Carroll, M. V., Hoban, M. T., Leino, V., . . . Fine, M. J. (2013). Waterpipe smoking among U.S. university students. Nicotine & Tobacco Research, 15(1), 29-35.
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³⁴⁰⁸Singh, V. (2013). Work, performance, and the social ethic of global capitalism: Understanding religious practice in contemporary India. Sociological Forum, 28(2), 283-307. doi:10.1111/socf.12019
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³⁴¹⁶Luca, S. M., Franklin, C., Yueqi, Y., Johnson, S., & Brownson, C. (2016). The relationship between suicide ideation, behavioral health, and college academic performance. Community Mental Health Journal, 52(5), 534-540. doi:10.1007/s10597-016-9987-4
³⁴¹⁷Yamashita, M., Iida, M., Tada, M., Shirasago, Y., Fukasawa, M., Nagase, S., . . . Kondoh, M. (2015). Discovery of anti–claudin-1 antibodies as candidate therapeutics against hepatitis C virus. The Journal of Pharmacology and Experimental Therapeutics, 353(1), 112-118. doi:10.1124/jpet.114.217653
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³⁴³⁷Inslegers, R., Vanheule, S., Meganck, R., Debaere, V., Trenson, E., Desmet, M., & Roelstraete, B. (2012). The assessment of the Social Cognition and Object Relations Scale on TAT and interview data. Journal of Personality Assessment, 94(4), 372-379. doi:10.1080/00223891.2012.662187
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³⁴⁴⁰Zagórska, A., & Fajkowska, M. (2015). Individual differences in visual and auditory processing of emotional material. Polish Psychological Bulletin, 46(2), 174-180.
³⁴⁴¹Mozisek, K. D. (2014). Rosie the right fielder: Citizen of the community, not just a temporary patriot. Sport in Society, 17(7), 937-952. doi:10.1080/17430437.2013.806040
³⁴⁴²Bengiamin, M. I., Capitman, J. A., & Ruwe, M. B. (2010). Disparities in initiation and adherence to prenatal care: Impact of insurance, race-ethnicity and nativity. Maternal and Child Health Journal, 14(4), 618-624. doi:10.1007/s10995-009-0485-y
³⁴⁴³Olson, R. E. (2015). Exploring identity in the ‘figured worlds’ of cancer care-giving and marriage in Australia. Health & Social Care in the Community, 23(2), 171-179. doi:10.1111/hsc.12132
³⁴⁴⁴Hirao, A., Abe, K., Takayama, K., Kondo, K., Yokota, O., Sato, Y., . . . Terada, S. (2016). Heterogeneity of patients receiving artificial nutrition in japanese psychiatric hospitals: A cross‐sectional study. Psychogeriatrics. doi:10.1111/psyg.12173
³⁴⁴⁵Gallagher, D., Mhaolain, A. N., Greene, E., Walsh, C., Denihan, A., Bruce, I., . . . Lawlor, B. A. (2010). Late life depression: A comparison of risk factors and symptoms according to age of onset in community dwelling older adults. International Journal of Geriatric Psychiatry, 25(10), 981-987. doi:10.1002/gps.2438
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³⁴⁴⁷Bauer, R., Sterzinger, L., Koepke, F., & Spiessl, H. (2013). Rewards of caregiving and coping strategies of caregivers of patients with mental illness. Psychiatric Services, 64(2), 185-188. doi:10.1176/appi.ps.001212012
³⁴⁴⁸Ludington, J. D. (2016). Does hearing several speakers reduce foreign word learning? Computer Assisted Language Learning, 29(3), 539-560. doi:10.1080/09588221.2014.993401
³⁴⁴⁹Ma, N., Jiang, W. J., Lou, X., Ma, L., Du, B., Cai, J. F., & Zhao, T. Q. (2010). Arterial remodeling of advanced basilar atherosclerosis: A 3-tesla MRI study. Neurology, 75(3), 253-258. doi:10.1212/WNL.0b013e3181e8e714
³⁴⁵⁰Nachega, J. B., Chaisson, R. E., Goliath, R., Efron, A., Chaudhary, M. A., Ram, M., . . . Maartens, G. (2010). Randomized controlled trial of trained patient-nominated treatment supporters providing partial directly observed antiretroviral therapy. AIDS, 24(9), 1273-1280.
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³⁴⁵²Fuster, D., Cheng, D. M., Allensworth-Davies, D., Palfai, T. P., Samet, J. H., & Saitz, R. (2014). No detectable association between frequency of marijuana use and health or healthcare utilization among primary care patients who screen positive for drug use. Journal of General Internal Medicine, 29(1), 133-139.
³⁴⁵³Milfont, T. L., Abrahamse, W., & McCarthy, N. (2011). Spatial and temporal biases in assessments of environmental conditions in New Zealand. New Zealand Journal of Psychology, 40(2), 56-67.
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³⁴⁵⁵Abdollahpour, I., Salimi, Y., & Shushtari, Z. J. (2015). Migraine and quality of life in high school students: A population-based study in Boukan, Iran. Journal of Child Neurology, 30(2), 187-192. doi:10.1177/0883073814534318
³⁴⁵⁶Johnston, B. M., & Glasford, D. E. (2014). A threat-emotion profile approach to explaining active versus passive harm in intergroup relations. Social Psychology, 45(5), 399-407. doi:10.1027/1864-9335/a000199
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³⁴⁵⁸Mathai, A., Ma, Y., Paré, J.-F., Villalba, R. M., Wichmann, T., & Smith, Y. (2015). Reduced cortical innervation of the subthalamic nucleus in MPTP-treated parkinsonian monkeys. Brain: A Journal of Neurology, 138(4), 946-962. doi:10.1093/brain/awv018
³⁴⁵⁹Mittal, M. K., Kashyap, R., Herasevich, V., Rabinstein, A. A., & Wijdicks, E. F. M. (2015). Do patients in a medical or surgical ICU benefit from a neurologic consultation? International Journal of Neuroscience, 125(7), 512-520. doi:10.3109/00207454.2014.950374
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