Using Multilevel Mixture Models in Educational Research: An Illustration With Homework Research
Publication date
2021
Authors
Flunger, Barbara
Trautwein, Ulrich
Nagengast, Benjamin
Lüdtke, Oliver
Niggli, Alois
Schnyder, Inge
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Supervisors
Document Type
Article
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Abstract
The present study illustrates the utility of applying multilevel mixture models in educational research, using data on the homework behavior of 1,812 Swiss eighth-grade students in French as a second language. A previous person-centered study identified 5 homework learning types characterized by different patterns of high or low homework time and effort. Via multilevel latent profile analyses (MLPAs), the dependence of homework learning types on between-classroom differences was investigated. Based on the proportions of homework learning profiles across classrooms, 3 class-level profiles were identified: A “low time”, “high time” and an “average” profile. Predictors of the latent profiles at the student and class levels were assessed. The study offers insights into the advantages of multilevel mixture models for educational research.
Keywords
Person-centered methods, effort, homework, homework time, multilevel mixture models, teachers, Education, Developmental and Educational Psychology
Citation
Flunger, B, Trautwein, U, Nagengast, B, Lüdtke, O, Niggli, A & Schnyder, I 2021, 'Using Multilevel Mixture Models in Educational Research : An Illustration With Homework Research', Journal of Experimental Education, vol. 89, no. 1, pp. 209-236. https://doi.org/10.1080/00220973.2019.1652137