Illustration of Step-Wise Latent Class Modeling With Covariates and Taxometric Analysis in Research Probing Children's Mental Models in Learning Sciences

@article{Stamovlasis2018IllustrationOS,
  title={Illustration of Step-Wise Latent Class Modeling With Covariates and Taxometric Analysis in Research Probing Children's Mental Models in Learning Sciences},
  author={Dimitrios Stamovlasis and George Papageorgiou and Georgios Tsitsipis and Themistoklis Tsikalas and Julie Vaiopoulou},
  journal={Frontiers in Psychology},
  year={2018},
  volume={9}
}
This paper illustrates two psychometric methods, latent class analysis (LCA) and taxometric analysis (TA) using empirical data from research probing children's mental representation in science learning. LCA is used to obtain a typology based on observed variables and to further investigate how the encountered classes might be related to external variables, where the effectiveness of classification process and the unbiased estimations of parameters become the main concern. In the step-wise LCA… 

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