A1 Journal article – refereed
Latent variable mixture models in research on learning and individual differences




List of Authors: Jake McMullen, Marian Hickendorff
Publisher: Elsevier Ltd
Publication year: 2018
Journal: Learning and Individual Differences
Journal name in source: Learning and Individual Differences
Volume number: 66
eISSN: 1873-3425

Abstract

Herein, we provide an introduction to the special issue “Latent variable mixture models in research on learning and individual differences”. Latent variable mixture models are argued to be a powerful tool for capturing non-linear and qualitative individual differences in learners' knowledge, characteristics, and development. The current special issue provides an overview of the use of these analytical tools in investigations of learning and individual differences by presenting a wide-range of empirical studies utilizing the methods. A practical non-technical introduction and discussion are also included in the special issue.


Last updated on 2019-29-01 at 11:16