Literaturnachweis - Detailanzeige
| Autor/inn/en | Hecht, Martin; Voelkle, Manuel C. |
|---|---|
| Titel | Continuous-Time Modeling in Prevention Research: An Illustration |
| Quelle | In: International Journal of Behavioral Development, 45 (2021) 1, S.19-27 (9 Seiten)Infoseite zur Zeitschrift
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| Zusatzinformation | ORCID (Hecht, Martin) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0165-0254 |
| DOI | 10.1177/0165025419885026 |
| Schlagwörter | Models; Longitudinal Studies; Prevention; Time; Bayesian Statistics; Physical Activities; Health; Data Analysis; Simulation |
| Abstract | The analysis of cross-lagged relationships is a popular approach in prevention research to explore the dynamics between constructs over time. However, a limitation of commonly used cross-lagged models is the requirement of equally spaced measurement occasions that prevents the usage of flexible longitudinal designs and complicates cross-study comparisons. Continuous-time modeling overcomes these limitations. In this article, we illustrate the use of continuous-time models using Bayesian and frequentist approaches to model estimation. As an empirical example, we study the dynamic interplay of physical activity and health, a classic research topic in prevention science, using data from the "Midlife in the United States (MIDUS 2): Daily Stress Project, 2004-2009." To help prevention researchers in adopting the approach, we provide annotated R scripts and a simulated data set based on the results from analyzing the MIDUS 2 data. (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 |
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