2022
DOI: 10.1002/jcop.22809
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Loving lunch in junior high: Lunchtime activities and a sense of belonging in school

Abstract: We explore student lunchtime experiences as they relate to student sense of belonging. We use SPSS Two‐Step cluster analysis and logistic regression of data from a schoolwide survey (n = 830) in the United States. Stepwise modeling is used to determine the importance of clusters representing lunchtime activity preferences and love of lunch on belonging scores. Loving lunch significantly positively affects school belonging. Students naturally group into five distinct different activity profiles based on lunchti… Show more

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Cited by 2 publications
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