The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Testing Main Effects and Interactions in Latent Curve Analysis.
Abstract
A key strength of latent curve analysis (LCA) is the ability to model individual variability in rates of change as a function of 1 or more explanatory variables. The measurement of time plays a critical role because the explanatory variables multiplicatively interact with time in the prediction of the repeated measures. However, this interaction is not typically capitalized on in LCA because the measure of time is rather subtly incorporated via the factor loading matrix. The authors' goal is to demonstrate both analytically and empirically that classic techniques for probing interactions in multiple regression can be generalized to LCA. A worked example is presented, and the use of these techniques is recommended whenever estimating conditional LCAs in practice.
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Statistical methods in psychology journals: Guidelines and explanations.
Wilkinson, L., & Task Force on Statistical Inference (1999) · American Psychologist · doi:10.1037/0003-066x.54.8.594 · Cited by 2,791
Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models
Singer, J. D. (1998) · Journal of Educational and Behavioral Statistics · doi:10.2307/1165280 · Cited by 1,092
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Curran, P. J., Obeidat, K., & Losardo, D. (2010) · Journal of Cognition and Development · doi:10.1080/15248371003699969 · Cited by 1,246
Self-citationBrown, T. A. (2007) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.116.2.313 · Cited by 306
Hogue, A., Henderson, C. E., Dauber, S., Barajas, P. C., Fried, A., & Liddle, H. A. (2008) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.76.4.544 · Cited by 284
“We used equations provided by Curran et al. (2004) for constructing curvilinear slopes and inserted the parameter estimates derived from the LGC test of the quadratic adherence– internalizing relation. The graph was plotted by substituting raw adherence scores for the centered scores (following Aiken & West, 1991) bec…”
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Metadata
- Authors
- Curran, P. J., Bauer, D. J., & Willoughby, M. T.
- Venue
- Psychological Methods
- Published
- 2004
- Volume
- 9
- Issue
- 2
- Pages
- 220-237
- ISSN
- 1082-989X (ISSN-L)
- 1939-1463
- OpenAlex
- W2050894888
- Cited by
- 175
- References
- 2
- FWCI
- 11.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- Curran, P. J., Bauer, D. J., & Willoughby, M. T. (2004). Testing Main Effects and Interactions in Latent Curve Analysis. Psychological Methods. https://doi.org/10.1037/1082-989x.9.2.220
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