Using Regression Mixture Analysis in Educational Research

68 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Skew-Normal Mixture Regression Model (2014, background): “Comparing all the six scatterplots, as planned the nonnormality is not obvious through visual inspection of the data. Moreover, as per our design, differential regression patterns do exist in these conditions but are not immediately obvious given the cloud of data. It should be noted that when skewe”
Informative tools for characterizing individual differences in learning: Latent class, latent profile, and latent transition analysis (2017, background): “Regression mixture models, also called latent class regression models, aim to identify hidden subgroups with different regression models (e.g., Ding, 2006), whereas growth mixture models (GMMs) including latent class growth models aim to identify classes of individuals with similar change/ growth…”