Single-Level and Multilevel Mediation Analysis

Autor/inn/en	Tofighi, Davood; Thoemmes, Felix
Titel	Single-Level and Multilevel Mediation Analysis
Quelle	In: Journal of Early Adolescence, 34 (2014) 1, S.93-119 (27 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0272-4316
DOI	10.1177/0272431613511331
Schlagwörter	Statistical Analysis; Predictor Variables; Structural Equation Models; Computation; Adolescents; Research; Educational Environment; Student School Relationship; Middle School Students; Behavior Problems; Depression (Psychology); Grade 6; Grade 7; Teacher Attitudes; Bullying; Victims; Grade 8; Intervention; Middle School Teachers + Suchen Sie Ihr Suchwort? Statistische Analyse; Prädiktor; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher; Forschung; Lernumgebung; Pädagogische Umwelt; Schulumwelt; Schüler-Lehrer-Beziehung; Middle school; Middle schools; Student; Students; Mittelschule; Mittelstufenschule; Schüler; Schülerin; School year 06; 6. Schuljahr; Schuljahr 06; School year 07; 7. Schuljahr; Schuljahr 07; Lehrerverhalten; Mobbing; Victim; Opfer; School year 08; 8. Schuljahr; Schuljahr 08; Teacher; Teachers; Lehrer; Lehrerin; Lehrende
Abstract	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 equation modeling (SEM) in estimating mediation models with multiple mediators and multiple outcomes. We also describe the estimation and interpretation of a 2?1?1 multilevel mediation model in which the first, second, and third numbers correspond to the measurement levels of the independent, mediator, and outcome variables, respectively. We present two numerical examples that use simulated data based on published studies in adolescence research to demonstrate how to specify, estimate, and interpret the results of single-level and multilevel mediation analyses to answer key research questions. We briefly discuss underlying assumptions required to make a valid causal interpretation of a mediation analysis. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10