Author:
Aydin Burak,Algina James,L. Leite Walter
Publisher
Springer Science and Business Media LLC
Subject
General Psychology,Psychology (miscellaneous),Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Experimental and Cognitive Psychology
Reference57 articles.
1. Aguinis, H., Gottfredson, R. K., & Culpepper, S. A. (2013). Best-practice recommendations for estimating cross-level interaction effects using multilevel modeling. Journal of Management, 39, 1490–1528.
2. Asparouhov, T. (2005). Sampling weights in latent variable modeling. Structural Equation Modeling, 12, 411–434.
3. Asparouhov, T., & Muthén, B. O. (2006). Multilevel modeling of complex survey data. Los Angeles, CA: ASA Section on Survey Research Methods. Available from
www.statmodel.com
4. Aydin, B., Leite, W. L., & Algina, J. (2016). The effects of including observed means or latent means as covariates in multilevel models for cluster randomized trials. Educational and Psychological Measurement, 76, 803–823.
5. Bandalos, D. L., & Leite, W. L. (2013). Use of Monte Carlo studies in structural equation modeling research. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (2nd ed.) (pp. 564–666). Greenwich, CT: Information Age.
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