The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Number of Subjects and Time Points Needed for Multilevel Time-Series Analysis: A Simulation Study of Dynamic Structural Equation Modeling
Abstract
Dynamic structural equation modeling (DSEM) is a novel, intensive longitudinal data (ILD) analysis framework. DSEM models intraindividual changes over time on Level 1 and allows the parameters of these processes to vary across individuals on Level 2 using random effects. DSEM merges time series, structural equation, multilevel, and time-varying effects models. Despite the well-known properties of these analysis areas by themselves, it is unclear how their sample size requirements and recommendations transfer to the DSEM framework. This article presents the results of a simulation study that examines the estimation quality of univariate 2-level autoregressive models of order 1, AR(1), using Bayesian analysis in Mplus Version 8. Three features are varied in the simulations: complexity of the model, number of subjects, and number of time points per subject. Samples with many subjects and few time points are shown to perform substantially better than samples with few subjects and many time points.
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Cites
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Dynamic Structural Equation Models
Asparouhov, T., Hamaker, E. L., & Muthén, B. (2018) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705511.2017.1406803 · Cited by 985
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Hamaker, E. L., Asparouhov, T., Brose, A., Schmiedek, F., & Muthén, B. (2018) · Multivariate Behavioral Research · doi:10.1080/00273171.2018.1446819 · Cited by 549
Self-citationSocial Media Use and Adolescents' Self-Esteem: Heading for a Person-Specific Media Effects Paradigm
Valkenburg, P., Beyens, I., Pouwels, J. L., van Driel, I. I., & Keijsers, L. (2021) · Journal of Communication · doi:10.1093/joc/jqaa039 · Cited by 258
van Roekel, E., Keijsers, L., & Chung, J. M. (2019) · Journal of Research on Adolescence · doi:10.1111/jora.12471 · Cited by 191
Beyens, I., Pouwels, J. L., van Driel, I. I., Keijsers, L., & Valkenburg, P. M. (2024) · Communication Research · doi:10.1177/00936502211038196 · Cited by 208
Foundations of idiographic methods in psychology and applications for psychotherapy
Piccirillo, M. L., & Rodebaugh, T. L. (2019) · Clinical Psychology Review · doi:10.1016/j.cpr.2019.01.002 · Cited by 160
Metadata
- Authors
- Schultzberg, M., & Muthén, B.
- Venue
- Structural Equation Modeling: A Multidisciplinary Journal
- Publisher
- Informa UK Limited
- Published
- 2017-12-04
- Volume
- 25
- Issue
- 4
- Pages
- 495-515
- ISSN
- 1070-5511 (ISSN-L)
- 1532-8007
- OpenAlex
- W2772997641
- Cited by
- 293
- References
- 20
- FWCI
- 6.78
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
