Literaturnachweis - Detailanzeige
| Autor/inn/en | Grimm, Kevin J.; Helm, Jonathan; Rodgers, Danielle; O'Rourke, Holly |
|---|---|
| Titel | Analyzing Cross-Lag Effects: A Comparison of Different Cross-Lag Modeling Approaches |
| Quelle | In: New Directions for Child and Adolescent Development, (2021) 175, S.11-33 (23 Seiten)
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| Zusatzinformation | ORCID (Grimm, Kevin J.) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1520-3247 |
| DOI | 10.1002/cad.20401 |
| Schlagwörter | Comparative Analysis; Developmental Psychology; Prediction; Research Methodology; Models; Correlation; Reading Skills; Mathematics Skills; Skill Development; Developmental Stages |
| Abstract | Developmental researchers often have research questions about cross-lag effects--the effect of one variable predicting a second variable at a subsequent time point. The cross-lag panel model (CLPM) is often fit to longitudinal panel data to examine cross-lag effects; however, its utility has recently been called into question because of its inability to distinguish between-person effects from within-person effects. This has led to alternative forms of the CLPM to be proposed to address these limitations, including the random-intercept CLPM and the latent curve model with structured residuals. We describe these models focusing on the interpretation of their model parameters, and apply them to examine cross-lag associations between reading and mathematics. The results from the various models suggest reading and mathematics are reciprocally related; however, the strength of these lagged associations was model dependent. We highlight the strengths and limitations of each approach and make recommendations regarding modeling choice. (As Provided). |
| Anmerkungen | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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