Daily School Context of Adolescents\u27 Single Best Friendship and Adjustment

Research on adolescent best friendships typically focuses on school-based friendships, ignoring important differences between classroom-based and out-of-school friendships. With data from 156 ninth-grade students, many of whom named more than 1 best friend across the 14-day period, the authors examined associations between the daily school context of one\u27s best friendship and adjustment. Benefits of in-grade best friendships were found in academic engagement when a composite was assessed across the 2-week period. Daily findings were more complex and were different between weekends and school days. Out-of-grade best friends were named more frequently on weekends, and on weekend days in which they named an out-of-school best friend participants spent more time with that friend but felt like less of a good student. Implications for our understanding of friendship context and for the measurement of friendship itself are discussed

The Utility of Latent Class Analysis to Understand Heterogeneity in Youth’s Coping Strategies: A Methodological Introduction

Latent class analysis (LCA) is a useful statistical approach for understanding heterogeneity in a population. This paper provides a pedagogical introduction to LCA modeling and provides an example of its use to understand youth’s daily coping strategies. The analytic procedures are outlined for choosing the number of classes and integration of the LCA variable within a structural equation model framework, specifically a latent class moderation model, and a detailed table provides a summary of relevant modeling steps. This applied example demonstrates the modeling context when the LCA variable is moderating the association between a covariate and two outcome variables. Results indicate that students’ coping strategies moderate the association between social stress and negative mood, however they do not moderate the social stress-positive mood association. Appendices include R (MplusAutomation) code to automate the enumeration procedure, 3-step auxiliary variable integration, and the generation of figures for visually depicting LCA results