The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
From Data to Causes I: Building A General Cross-Lagged Panel Model (GCLM)
Open accessAbstract
This is the first paper in a series of two that synthesizes, compares, and extends methods for causal inference with longitudinal panel data in a structural equation modeling (SEM) framework. Starting with a cross-lagged approach, this paper builds a general cross-lagged panel model (GCLM) with parameters to account for stable factors while increasing the range of dynamic processes that can be modeled. We illustrate the GCLM by examining the relationship between national income and subjective well-being (SWB), showing how to examine hypotheses about short-run (via Granger-Sims tests) versus long-run effects (via impulse responses). When controlling for stable factors, we find no short-run or long-run effects among these variables, showing national SWB to be relatively stable, whereas income is less so. Our second paper addresses the differences between the GCLM and other methods. Online Supplementary Materials offer an Excel file automating GCLM input for Mplus (with an example also for Lavaan in R) and analyses using additional data sets and all program input/output. We also offer an introductory GCLM presentation at https://youtu.be/tHnnaRNPbXs . We conclude with a discussion of issues surrounding causal inference.
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Cites
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Self-citationBarsalou, L. W. (2008) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093639 · Cited by 5,936 · cited 2×
“To elaborate, if a unit i is a person, psychological factors can explain stability over time, including stable patterns of embodied cognition (Barsalou, 2008), social roles and norms (Andersen & Chen, 2002; Fournier, Moskowitz, & Zuroff, 2008), cognitive ability (Deary, Pattie, & Starr, 2013), personality or affective…”
BackgroundStatistics and Causal Inference
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A critique of the cross-lagged panel model
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Self-citationFixed Effects Regression Models
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Cited by
Why the cross-lagged panel model is almost never the right choice
Lucas, R. E. (2023) · Advances in Methods and Practices in Psychological Science · doi:10.1177/25152459231158378 · Cited by 361
Sibling Constructs: What Are They, Why Do They Matter, and How Should You Handle Them?
Lawson, K. M., & Robins, R. W. (2021) · Personality and Social Psychology Review · doi:10.1177/10888683211047101 · Cited by 144
Causal inference on human behaviour
Bailey, D. H., Jung, A. J., Beltz, A. M., Eronen, M. I., Gische, C., Hamaker, E. L., Kording, K. P., Lebel, C., Lindquist, M. A., Moeller, J., et al. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01939-z · Cited by 56
Self-citationFalkenström, F. (2024) · Clinical Psychology Review · doi:10.1016/j.cpr.2024.102435 · Cited by 39
Zhang, Y., Liu, X., & Chen, W. (2020) · Journal of Business and Psychology · doi:10.1007/s10869-019-09650-x · Cited by 35
Metadata
- Authors
- Zyphur, M. J., Allison, P. D., Tay, L., Voelkle, M. C., Preacher, K. J., Zhang, Z., Hamaker, E. L., Shamsollahi, A., Pierides, D. C., Koval, P., & Diener, E.
- Venue
- Organizational Research Methods
- Publisher
- SAGE Publications
- Published
- 2019-05-21
- Volume
- 23
- Issue
- 4
- Pages
- 651-687
- ISSN
- 1094-4281 (ISSN-L)
- 1552-7425
- OpenAlex
- W2945530942
- Cited by
- 306
- References
- 24
- FWCI
- 22.27
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Zyphur, M. J., Allison, P. D., Tay, L., Voelkle, M. C., Preacher, K. J., Zhang, Z., Hamaker, E. L., Shamsollahi, A., Pierides, D. C., Koval, P., & Diener, E. (2020). From Data to Causes I: Building A General Cross-Lagged Panel Model (GCLM). Organizational Research Methods. https://doi.org/10.1177/1094428119847278
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