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Latent Class Trees with the Three-Step Approach

References

  • Bakk, Z., Oberski, D. L., & Vermunt, J. K. (2014). Relating latent class assignments to external variables: Standard errors for correct inference. Political Analysis 22(4): 520–540. mpu003. doi:10.1093/pan/mpu003.
  • Bakk, Z., Oberski, D. L., & Vermunt, J. K. (2016). Relating latent class membership to continuous distal outcomes: Improving the ltb approach and a modified three-step implementation. Structural Equation Modeling: A Multidisciplinary Journal, 23(2), 278–289. doi:10.1080/10705511.2015.1049698
  • Bakk, Z., Tekle, F. B., & Vermunt, J. K. (2013). Estimating the association be- tween latent class membership and external variables using bias-adjusted three-step approaches. Sociological Methodology, 43(1), 272–311. doi:10.1177/0081175012470644
  • Bakk, Z., & Vermunt, J. K. (2016). Robustness of stepwise latent class modeling with continuous distal outcomes. Structural Equation Modeling: A Multidisciplinary Journal, 23(1), 20–31. doi:10.1080/10705511.2014.955104
  • Bolck, A., Croon, M., & Hagenaars, J. (2004). Estimating latent structure models with categorical variables: One-step versus three-step estimators. Political Analysis, 12(1), 3–27.
  • Borkenau, P., & Ostendorf, F. (2008). NEO-FFI: NEO-Fünf-Faktoren-inventar nach costa und mccrae, manual. Göttingen, Germany: Hogrefe.
  • Clogg, C. C. (1995). Latent class models. In Handbook of statistical modeling for the social and behavioral sciences (pp. 311–359). New York, NY: Plenum Press.
  • Crayen, C., Eid, M., Lischetzke, T., Courvoisier, D. S., & Vermunt, J. K. (2012). Exploring dynamics in mood regulation—Mixture latent markov modeling of ambulatory assessment data. Psychosomatic Medicine, 74(4), 366–376. doi:10.1097/PSY.0b013e31825474cb
  • Dayton, C. M., & Macready, G. B. (1988). Concomitant-variable latent-class models. Journal of the American Statistical Association, 83(401), 173–178. doi:10.1080/01621459.1988.10478584
  • Goodman, L. A. (1974). Exploratory latent structure analysis using both identifiable and unidentifiable models. Biometrika, 61(2), 215–231. doi:10.1093/biomet/61.2.215
  • Hagenaars, J. A. (1990). Categorical longitudinal data: Log-linear panel, trend, and cohort analysis. Califorina: Sage Newbury Park.
  • Lazarsfeld, P. F., & Henry, N. W. (1968). Latent structure analysis. Boston, MA: Houghton Mifflin.
  • McCutcheon, A. L. (1987). Latent class analysis (No. 64). Sage.
  • Muthén, B. (2004). Latent variable analysis. In D. Kaplan (Ed.), The Sage handbook of quantitative methodology for the social sciences (pp. 345–368). Thousand Oaks, CA: Sage Publications.
  • Owen, A. L., & Videras, J. (2009). Reconsidering social capital: A latent class approach. Empirical Economics, 37(3), 555–582. doi:10.1007/s00181-008-0246-6
  • R Core Team. (2016). R: A language and environment for statistical com- puting [Computer software manual]. Vienna, Austria. Retrieved from https://www.R-project.org/
  • Van De Schoot, R., Sijbrandij, M., Winter, S. D., Depaoli, S., & Vermunt, J. K. (2016). The grolts-checklist: Guidelines for reporting on latent trajectory studies. Structural Equation Modeling: A Multidisciplinary Journal, 24(3), 451–467.
  • van Den Bergh, M., Schmittmann, V. D., & Vermunt, J. K. (2017). Building latent class trees, with an application to a study of so- cial capital. Methodology, 13(Supplement 1), 13–22. Retrieved from. doi:10.1027/1614-2241/a000128
  • van Den Bergh, M., van Kollenburg, G. H., & Vermunt, J. K. (2018). Deciding on the starting number of classes of a la- tent class tree. Sociological Methodology, 48(1), 303–336. Retrieved from. doi:10.1177/0081175018780170
  • van Den Bergh, M., & Vermunt, J. K. (2017). Building latent class growth trees. Structural Equation Modeling: A Multidisciplinary Journal, 1–12. Retrieved from. doi:10.1080/10705511.2017.1389610
  • Van der Heijden, P. G., Dessens, J., & Bockenholt, U. (1996). Estimating the concomitant-variable latent-class model with the em algorithm. Journal of Educational and Behavioral Statistics, 21(3), 215–229. doi:10.3102/10769986021003215
  • Van der Palm, D. W., van der Ark, L. A., & Vermunt, J. K. (2015). Divisive latent class modeling as a density estimation method for categorical data. Journal of Classification, 33(1), 52–72.
  • Vermunt, J. K. (2010). Latent class modeling with covariates: Two improved three-step approaches. Political analysis, 18(4), 450–469.
  • Vermunt, J. K., & Magidson, J. (2016). Technical guide for latent gold 5.0: Basic, advanced, and syntax.
  • Yamaguchi, K. (2000). Multinomial logit latent-class regression models: An analysis of the predictors of gender-role attitudes among japanese women. American Journal of Sociology, 105(6), 1702–1740. doi:10.1086/210470