Growth Mixture Modeling: Application to Reading Achievement Data From a Large-Scale Assessment

Author:

Bilir Mustafa Kuzey,Binici Salih,Kamata Akihito

Publisher

Informa UK Limited

Subject

Psychology (miscellaneous),Applied Psychology,Developmental and Educational Psychology,Education

Reference5 articles.

1. Kline, R B. (2005). PrincOles and practice of structural equation modeling (2nd ed.). New York: Guilford Press.

2. Muthén, B. (2004). Latent variable analysis: Growth mixture modeling and related techniques for longitudinal data. In D. Kaplan (Ed.), The SAGE handbook of quantitative methodology for the social sciences (pp. 345–368). Thousand Oaks, CA: Sage.

3. Muthén, B. (2007). Latent variable hybrids: Overview of old and new models. In G. R. Hancock & K. M. Samuelsen (Eds.), Advances in latent variable mixture models (pp. 1–26). Charlotte, NC: Information Age.

4. Muthén, L. K. & Muthén, B. O. (2007). Mplus user’s guide (5th ed.). Los Angeles: Author.

5. Raudenbush, S. W. & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks, CA: Sage.

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