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Statistical points and pitfalls: growth modeling Cover

Statistical points and pitfalls: growth modeling

Open Access
|Mar 2022

References

  1. Muthén BO Curran PJ General longitudinal modeling of individual differences in experimental designs: a latent variable framework for analysis and power estimation Psychol Methods 1997 2 371 10.1037/1082-989X.2.4.371
  2. Muthén BO Beyond SEM: general latent variable modeling Behaviormetrika 2002 29 81 117 10.2333/bhmk.29.81
  3. Willett JB Sayer AG Using covariance structure analysis to detect correlates and predictors of individual change over time Psychol Bull 1994 116 363 10.1037/0033-2909.116.2.363
  4. Bryk AS Raudenbush SW Hierarchical linear models: applications and data analysis methods 1992
  5. Rabe-Hesketh S Skrondal A Multilevel and longitudinal modeling using Stata 2008
  6. Xitao F Xiaotao F Power of latent growth modeling for detecting linear growth: number of measurements and comparison with other analytic approaches J Exp Educ 2005 73 121 139 10.3200/JEXE.73.2.121-139
  7. Muthén LK Muthén BO How to use a Monte Carlo study to decide on sample size and determine power Struct Equ Model 2002 9 599 620 10.1207/S15328007SEM0904_8
  8. Hu L Bentler PM Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives Struct Equ Model Multidiscip J 1999 6 1 55 10.1080/10705519909540118
  9. Bollen KA Long JS Testing structural equation models 1993
  10. Curran PJ Bauer DJ Willoughby MT Testing main effects and interactions in latent curve analysis Psychol Methods 2004 9 220 10.1037/1082-989X.9.2.220
Language: English
Submitted on: Jan 19, 2022
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Accepted on: Feb 8, 2022
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Published on: Mar 16, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2022 Christy K. Boscardin, Stefanie S. Sebok-Syer, Martin V. Pusic, published by Bohn Stafleu van Loghum
This work is licensed under the Creative Commons Attribution 4.0 License.