Two-Step Estimation of Models Between Latent Classes and External Variables

Author:

Bakk Zsuzsa,Kuha Jouni

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,General Psychology

Reference50 articles.

1. Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103, 411–423.

2. Asparouhov, T., & Muthén, B. (2014). Auxiliary variables in mixture modeling: Three-step approaches using Mplus. Structural Equation Modeling, 21, 329–341.

3. Asparouhov, T., & Muthén, B. (2015). Auxiliary variables in mixture modeling: Using the BCH method in Mplus to estimate a distal outcome model and an arbitrary secondary model (Mplus Web Notes No. 21).

4. Bakk, Z., Oberski, D., & Vermunt, J. (2014a). Relating latent class assignments to external variables: Standard errors for correct inference. Political Analysis, 22, 520–540.

5. Bakk, Z., Oberski, D. L., & Vermunt, J. K. (2014b). Replication data for: Relating latent class assignments to external variables: Standard errors for correct inference. Harvard Dataverse. Retrieved from https://doi.org/10.7910/DVN/24497 .

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