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Kupzyk, Kevin A.; Beal, Sarah J. – Journal of Early Adolescence, 2017
In order to investigate causality in situations where random assignment is not possible, propensity scores can be used in regression adjustment, stratification, inverse-probability treatment weighting, or matching. The basic concepts behind propensity scores have been extensively described. When data are longitudinal or missing, the estimation and…
Descriptors: Probability, Longitudinal Studies, Data, Computation
Peugh, James L. – Journal of Early Adolescence, 2014
Applied early adolescent researchers often sample students (Level 1) from within classrooms (Level 2) that are nested within schools (Level 3), resulting in data that requires multilevel modeling analysis to avoid Type 1 errors. Although several articles have been published to assist researchers with analyzing sample data nested at two levels, few…
Descriptors: Early Adolescents, Research, Hierarchical Linear Modeling, Data Analysis
Beal, Sarah J.; Kupzyk, Kevin A. – Journal of Early Adolescence, 2014
The use of propensity scores as a method to promote causality in studies that cannot use random assignment has increased dramatically since its original publication in 1983. While the utility of these approaches is important, the concepts underlying their use are complex. The purpose of this article is to provide a basic tutorial for conducting…
Descriptors: Probability, Statistical Analysis, Regression (Statistics), Statistical Bias
Tofighi, Davood; Thoemmes, Felix – Journal of Early Adolescence, 2014
Mediation analysis is a statistical approach used to examine how the effect of an independent variable on an outcome is transmitted through an intervening variable (mediator). In this article, we provide a gentle introduction to single-level and multilevel mediation analyses. Using single-level data, we demonstrate an application of structural…
Descriptors: Statistical Analysis, Predictor Variables, Structural Equation Models, Computation