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Results for differential effects

Publications & Outputs

  1. Evaluating differential effects using regression interactions and regression mixture models

    Van Horn, M. L., Jaki, T., Maysn, K., Howe, G., Feaster, D., Lamont, A. E., George, M. & Kim, M., 08/2015, In: Educational and Psychological Measurement. 75, 4, p. 677-714 38 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. Using regression mixture models with non-normal data: examining an ordered polytomous approach

    George, M., Yang, N., Van Horn, M. L., Smith, J., Jaki, T., Feaster, D., Maysn, K. & Howe, G., 2013, In: Journal of Statistical Computation and Simulation. 83, 4, p. 757-770 14 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Not quite normal: Consequences of violating the assumption of normality with regression mixture models

    Van Horn, M. L., Smith, J., Fagan, A., Jaki, T., Maysn, K., Hawkins, D., Feaster, D. & Howe, G., 2012, In: Structural Equation Modeling. 19, 2, p. 227-249 23 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review