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Evaluating the Performances of Missing Data Handling Methods in Ability Estimation From Sparse Data
Large amounts of missing data could distort item parameter estimation and lead to biased ability estimates in educational assessments. Therefore, missing responses should be handled properly before estimating any parameters. In this study, two Monte Carlo simulation studies were conducted to compare...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Educ Psychol Meas |
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| Κύριοι συγγραφείς: | , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
SAGE Publications
2020
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7425325/ https://ncbi.nlm.nih.gov/pubmed/32855565 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0013164420911136 |
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