Overall Model Fit Does Not Imply Linearity in Longitudinal Structural Equation Models: Examining Linear Change Over Time Using Latent Variable Modeling
Author:
Affiliation:
1. Michigan State University
2. University of South Carolina
3. Technical University Dresden
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10705511.2023.2292959
Reference32 articles.
1. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
2. The control of the false discovery rate in multiple testingunder dependency;Benjamini Y.;Annals of Statistics,,2001
3. On Fitting Nonlinear Latent Curve Models to Multiple Variables Measured Longitudinally
4. Bollen, K. A. (1989). Structural equations with latent variables. Wiley.
5. Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollenand & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Sage.
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