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Direct linkGrund, Simon; Lüdtke, Oliver; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2018
Multiple imputation (MI) can be used to address missing data at Level 2 in multilevel research. In this article, we compare joint modeling (JM) and the fully conditional specification (FCS) of MI as well as different strategies for including auxiliary variables at Level 1 using either their manifest or their latent cluster means. We show with…
Descriptors: Statistical Analysis, Data, Comparative Analysis, Hierarchical Linear Modeling
Aloisi, Cesare; Tymms, Peter – Educational Research and Evaluation, 2017
The stability of educational test results from the Programme for International Student Assessment (PISA) over 15 years was examined, and the influence of demographics and social capital was assessed, as was the impact of educational reforms. The test results were remarkably stable, with correlations up to 0.99 for country-level results over 2…
Descriptors: Achievement Tests, Foreign Countries, Secondary School Students, International Assessment
Troncoso, Patricio; Pampaka, Maria; Olsen, Wendy – School Effectiveness and School Improvement, 2016
School value-added studies have largely demonstrated the effects of socioeconomic and demographic characteristics of the schools and the pupils on performance in standardised tests. Traditionally, these studies have assessed the variation coming only from the schools and the pupils. However, recent studies have shown that the analysis of academic…
Descriptors: Foreign Countries, Value Added Models, Hierarchical Linear Modeling, Multivariate Analysis
Poteat, V. Paul; Heck, Nicholas C.; Yoshikawa, Hirokazu; Calzo, Jerel P. – American Educational Research Journal, 2016
Using youth program models to frame the study of Gay-Straight Alliances (GSAs), we identified individual and structural predictors of greater engagement in these settings with a cross-sectional sample of 295 youth in 33 GSAs from the 2014 Massachusetts GSA Network Survey (69% LGBQ, 68% cisgender female, 68% White, M[subscript age] =16.07).…
Descriptors: Youth Programs, Predictor Variables, Participation, Surveys
De Pedro, Kris Tunac; Astor, Ron Avi; Gilreath, Tamika D.; Benbenishty, Rami; Berkowitz, Ruth – Youth & Society, 2018
Research has found that when compared with civilian students, military-connected students in the United States have more negative mental health outcomes, stemming from the stress of military life events (i.e., deployment). To date, studies on military-connected youth have not examined the role of protective factors within the school environment,…
Descriptors: Educational Environment, Mental Health, Military Personnel, Stress Variables
Stefanek, Elisabeth; Strohmeier, Dagmar; van de Schoot, Rens; Spiel, Christiane – International Journal of Developmental Science, 2011
The present study concurrently analyzed risk and protective factors on the individual and the class level related to bullying and victimization in ethnically diverse schools. The sample derived from the pre-test data of a national intervention evaluation study in Austria (ViSC) and comprised 1,450 students (48.8% girls) aged 11-15 (M = 12.31) from…
Descriptors: Bullying, Victims, Student Diversity, Ethnic Diversity
