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Title: Latent Growth Curve Models with Random and Fixed Effects
Resulting in 1 citation.
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Teachman, Jay D. |
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Latent Growth Curve Models with Random and Fixed Effects In: Emerging Methods in Family Research. S. McHale, P. Amato, and A. Booth, eds., Springer, National Symposium on Family Issues 4, 2014 Cohort(s): NLSY79 Publisher: Springer Keyword(s): Body Mass Index (BMI); Modeling, Fixed Effects; Modeling, Growth Curve/Latent Trajectory Analysis; Modeling, Random Effects Permission to reprint the abstract has not been received from the publisher. Previous research using latent growth curve models has been within the framework of random effects. Using longitudinal data on men’s BMI taken from the National Longitudinal Study of 1979, I show that traditional latent growth curve models estimated in a random-effects framework can be extended to a fixed-effects framework. I also show that latent growth curve models can be estimated when time-constant covariates are modeled on the inter-subject level. Finally, using data taken from the Early Years of Marriage Project, I demonstrate that latent growth curve models can be used for analyzing paired data. Specifically, the latent intercept and slope terms of husbands and wives can be allowed to co-vary. (Chapter 1) |
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Bibliography Citation
Teachman, Jay D. "Latent Growth Curve Models with Random and Fixed Effects" In: Emerging Methods in Family Research. S. McHale, P. Amato, and A. Booth, eds., Springer, National Symposium on Family Issues 4, 2014
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