Alternative Structural Models for Multivariate Longitudinal Data Analysis
Abstract
Structural equation models are presented as alternative models for examining longitudinal data. The models include (a) a cross-lagged regression model, (b) a factor model based on latent growth curves, and (c) a dynamic model based on latent difference scores. The illustrative data are on motivation and perceived competence of students during their first semester in high school. The 3 models yielded different results and such differences were discussed in terms of the conceptualization of change underlying each model. The last model was defended as the most reasonable for these data because it captured the dynamic interrelations between the examined constructs and, at the same time, identified potential growth in the variables.
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- Authors
- Ferrer, E., & McArdle, J.
- Affiliations
- University of Virginia (US)
- Venue
- Structural Equation Modeling: A Multidisciplinary Journal
- Publisher
- Informa UK Limited
- Published
- 2003-10
- Volume
- 10
- Issue
- 4
- Pages
- 493-524
- ISSN
- 1070-5511 (ISSN-L)
- 1532-8007
- OpenAlex
- W2078635839
- Cited by
- 239
- References
- 3
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 8 · 2023: 9 · 2022: 7 · 2021: 10 · 2020: 14 · 2019: 14 · 2018: 10 · 2017: 11 · 2016: 16 · 2015: 16 · 2014: 12 · 2013: 20 · 2012: 13
- FWCI
- 5.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Structural Equation Modeling A Multidisciplinary Journal (publishedVersion)
- Funders
- Society for Research in Child Development
- National Institute on Aging
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- multivariate longitudinal data, structural equation modeling, latent growth curve models, dynamic model, student motivation, perceived competence, high school students, growth models
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