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Kohli, Nidhi; Peralta, Yadira; Zopluoglu, Cengiz; Davison, Mark L. – International Journal of Behavioral Development, 2018
Piecewise mixed-effects models are useful for analyzing longitudinal educational and psychological data sets to model segmented change over time. These models offer an attractive alternative to commonly used quadratic and higher-order polynomial models because the coefficients obtained from fitting the model have meaningful substantive…
Descriptors: Hierarchical Linear Modeling, Longitudinal Studies, Maximum Likelihood Statistics, Bayesian Statistics
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Grimm, Kevin; Marcoulides, Katerina – International Journal of Behavioral Development, 2016
Researchers are often interested in studying how the timing of a specific event affects concurrent and future development. When faced with such research questions there are multiple statistical models to consider and those models are the focus of this paper as well as their theoretical underpinnings and assumptions regarding the nature of the…
Descriptors: Experience, Time, Change, Statistical Analysis
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Salmela-Aro, Katariina; Read, Sanna; Minkkinen, Jaana; Kinnunen, Jaana M.; Rimpelä, Arja – International Journal of Behavioral Development, 2018
The aim of this longitudinal study among 9223 students from grade 7 and grade 9 (age 13-14 and 15-16) was to assess whether immigrant status and gender are associated with the level and change (slope) in school burnout among lower secondary school students in the Helsinki metropolitan area. Ninety-seven percent of the variation in school burnout…
Descriptors: Longitudinal Studies, Secondary School Students, Burnout, Immigrants