Literaturnachweis - Detailanzeige
Autor/inn/en | Nestler, Steffen; Lüdtke, Oliver; Robitzsch, Alexander |
---|---|
Titel | Analyzing Longitudinal Social Relations Model Data Using the Social Relations Structural Equation Model |
Quelle | In: Journal of Educational and Behavioral Statistics, 47 (2022) 2, S.231-260 (30 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1076-9986 |
DOI | 10.3102/10769986211056541 |
Schlagwörter | Interpersonal Relationship; Longitudinal Studies; Data Analysis; Structural Equation Models |
Abstract | The social relations model (SRM) is very often used in psychology to examine the components, determinants, and consequences of interpersonal judgments and behaviors that arise in social groups. The standard SRM was developed to analyze cross-sectional data. Based on a recently suggested integration of the SRM with structural equation models (SEM) framework, we show here how longitudinal SRM data can be analyzed using the SR-SEM. Two examples are presented to illustrate the model, and we also present the results of a small simulation study comparing the SR-SEM approach to a two-step approach. Altogether, the SR-SEM has a number of advantages compared to earlier suggestions for analyzing longitudinal SRM data, making it extremely useful for applied research. (As Provided). |
Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |