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The Impact of Markov Chain Convergence on Estimation of Mixture IRT Model Parameters
A nonconverged Markov chain can potentially lead to invalid inferences about model parameters. The purpose of this study was to assess the effect of a nonconverged Markov chain on the estimation of parameters for mixture item response theory models using a Markov chain Monte Carlo algorithm. A simul...
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| Publicado no: | Educ Psychol Meas |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SAGE Publications
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7425330/ https://ncbi.nlm.nih.gov/pubmed/32855567 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0013164419898228 |
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