Longitudinal data analysis using structural equation models.
Abstract
When determining the most appropriate method for analyzing longitudinal data, you must first consider what research question you want to answer. In this book, McArdle and Nesselroade identify five basic purposes of longitudinal structural equation modeling. For each purpose, they present the most useful strategies and models. Two important but underused approaches are emphasized: multiple factorial invariance over time and latent change scores. The book covers a wealth of models in a straightforward, understandable manner. Rather than overwhelm the reader with an extensive amount of algebra, the authors use path diagrams and emphasize methods that are appropriate for many uses.
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A unified framework of longitudinal models to examine reciprocal relations.
Usami, S., Murayama, K., & Hamaker, E. L. (2019) · Psychological Methods · doi:10.1037/met0000210 · Cited by 437 · see citing works
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“Growth curve modeling can directly analyze intraindividual change over time and interindividual differences in intraindividual change (McArdle and Nesselroade, 2014).”
BackgroundPerceived posttraumatic growth and depreciation after spinal cord injury: Actual or illusory?
Kunz, S., Joseph, S., Geyh, S., & Peter, C. (2019) · Health Psychology · doi:10.1037/hea0000676 · Cited by 37 · see citing works
Decristan, J., Bertram, V., Reitenbach, V., Schneider, K. M., Köhler, C., & Rauch, D. P. (2024) · Journal of Multilingual and Multicultural Development · doi:10.1080/01434632.2022.2141757 · Cited by 15 · see citing works
- Authors
- McArdle, J. J., & Nesselroade, J. R.
- Affiliations
- University of Southern California (US)
- University of Virginia (US)
- Venue
- American Psychological Association eBooks
- Publisher
- American Psychological Association
- Published
- 2014
- OpenAlex
- W1664685227
- Cited by
- 244
- References
- 2
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 39 · 2023: 21 · 2022: 18 · 2021: 16 · 2020: 38 · 2019: 23 · 2018: 22 · 2017: 20 · 2016: 16 · 2015: 13
- FWCI
- 8.99
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- American Psychological Association eBooks (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- path diagrams, longitudinal analysis, growth curve models, measurement invariance
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