Latent Markov and growth mixture models for ordinal individual responses with covariates: A comparison

  • Fulvia Pennoni, Isabella Romeo
  • Statistical Analysis and Data Mining The ASA Data Science Journal, January 2017, Wiley
  • DOI: 10.1002/sam.11335

Hidden Markov and growth mixture models

What is it about?

The hidden (or latent) Markov models are widely employed in many disciplines, in this work we show the performance when an ordinal response variable based on a rating scale is of interest. We compare the results with that obtained by employing alternative models known in the literature as growth mixture models.

Why is it important?

We report the model developments, and we show how the latent Markov model can handle the ordinality of the responses with covariates. We show in which way it is more efficient and suitable compared to the latent growth mixture models.

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The following have contributed to this page: Professor Fulvia Pennoni