2. Papers comparing methods

Comparing the performance of ML and Bayesian estimation in multilevel models:

  • Can, S., Van de Schoot, R., Hox (2015). Collinear Latent Variables in Multilevel Confirmatory Factor Analysis: A Comparison of Maximum Likelihood and Bayesian Estimation. Educational and Psychological Measurement, 75(3) 406–427. doi: 10.1177/0013164414547959.  LINK PDF
  • Hox, J., Moerbeek, M., Kluytmans, A. & Van De Schoot, R. (2014). Analyzing indirect effects in cluster randomized trials. The effect of estimation method, number of groups and group sizes on accuracy and power. Front. Psychol. 5:78. doi: 10.3389/fpsyg.2014.00078
  • Hox, J., van de Schoot. R., & Matthijsse, S. (2012). How few countries will do? Comparative survey analysis from a Bayesian perspective. Survey Research Methods, 6, 87-93. [link]

Investigating the performance of Approximate Measurement Invariance:

  • van de Schoot, R., Kluytmans, A., Tummers, L., Lugtig, P., Hox, J. & Muthén, B. (2013).  Facing off with Scylla and Charybdis: a comparison of scalar, partial, and the novel possibility of approximate measurement invariance. Frontiers in Psychology,  doi: 10.3389/fpsyg.2013.00770.

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