Modified Bayesian Information Criterion for Item Response Models in Planned Missingness Test Designs
The Bayesian information criterion (BIC) is a widely used statistical tool originally derived for fully observed data. The BIC formula includes the sample size and the number of estimated parameters in the penalty term. However, not all variables are available for every subject in planned missingnes...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Analytics |
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| Online Access: | https://www.mdpi.com/2813-2203/3/4/25 |
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