We define differential item functioning in the context of panel data. We then present a general approach to detect measurement non-invariance cases in this context. We use a model selection procedure based on the Bayesian information criterion (BIC). A real data application and a simulation study are presented to illustrate and motivate the methods.
Dotto, F., Farcomeni, A., Di Mari, R., Punzo, A. (2023). Measurement Invariance: a method based on Latent Markov Models. In CLADAG 2023 Book of Abstracts and short papers (pp.441-444).
Measurement Invariance: a method based on Latent Markov Models
Francesco Dotto
;
2023-01-01
Abstract
We define differential item functioning in the context of panel data. We then present a general approach to detect measurement non-invariance cases in this context. We use a model selection procedure based on the Bayesian information criterion (BIC). A real data application and a simulation study are presented to illustrate and motivate the methods.File in questo prodotto:
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