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Models for Uncertainty in Educational Testing

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  • 304 Seiten
  • 11 Lesestunden

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Focusing on the theme of inferring sources of variation and uncertainty, the author demonstrates how understanding these sources can enhance the estimation of key quantities. Key topics include essay rating, item-level property summarization, test equating, small-area estimation, and addressing incomplete longitudinal studies. The book is enriched with real data set examples that illustrate these applications, providing practical insights into the methodologies discussed.

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Models for Uncertainty in Educational Testing, Nicholas T. Longford

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Erscheinungsdatum
2011
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