References
- Geiser, C. (2013). Data analysis with Mplus. New York, NY: Wiley.
- Hancock, G., & Samuelsen, K. (Eds.). (2008). Latent variable mixture modeling. Hartford, CT: New Age Publishing.
- Lord, F. M. (1980). Applications of item response theory to practical testing problems. Hillsdale, NJ: Erlbaum.
- Lubke, G., & Muthén, B. O. (2005). Investigating population heterogeneity with factor mixture models. Psychological Methods, 10, 21–39. doi:10.1037/1082-989X.10.1.21
- Muthén, L. K., & Muthén, B. O. (2018). Mplus user’s guide. Los Angeles, CA: Muthén & Muthén.
- Raftery, A. (1995). Bayesian model selection in social research. Sociological Methodology, 25, 111–163. doi:10.2307/271063
- Raykov, T., & Marcoulides, G. A. (2015). Scale reliability evaluation in heterogeneous populations. Educational and Psychological Measurement, 75, 875–892. doi:10.1177/0013164414558587
- Raykov, T., & Marcoulides, G. A. (2018). A course in item response theory and modeling with Stata. College Station, TX: Stata Press.
- Raykov, T., Marcoulides, G. A., & Chang, C. (2016). Studying population heterogeneity in finite mixture settings using latent variable modeling. Structural Equation Modeling, 23, 726–730. doi:10.1080/10705511.2015.1103193
- Raykov, T., Marcoulides, G. A., & Li, T. (2016). Measurement instrument validity evaluation in finite mixtures. Educational and Psychological Measurement, 76, 1026–1044. doi:10.1177/0013164415613542
- Raykov, T., Marcoulides, G. A., Menold, N., & Harrison, M. (2019). Revisiting the bi-factor model: Can mixture modeling help assess its applicability? Structural Equation Modeling, 26, 110–118. doi:10.1080/10705511.2018.1436441
- Rizopoulos, D. (2006). ltm: An R package for latent variable modelling and item response theory analyses. Journal of Statistical Software, 17, 1–25. doi:10.18637/jss.v017.i05
- Rizopoulos, D. (2018). Package ‘ltm’. Retrieved from https://cran.r-project.org/web/packages/ltm/ltm.pdf
- van der Linden, W. J. (2016). Unidimensional logistic response models. In W. J. van der Linden (Ed.), Handbook of item response theory, (Vol. 2, pp. 13–30). Boca Raton, FL: CRC Press.
- Wang, J., & Wang, X. (2012). Structural equation modeling. Applications with Mplus. New York, NY: Wiley.