Synopsis
A theme running through this book is that of making inference about sources of variation or uncertainty, and the author shows how information about these sources can be used for improved estimation of certain elementary quantities. Amongst the topics covered are: essay rating, summarizing item-level properties, equating of tests, small-area estimation, and incomplete longitudinal studies. Throughout, examples are given using real data sets which exemplify these applications.
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From the Back Cover
The aim of this monograph is to present a survey of modern statistical techniques applied to educational and psychological testing. A theme that runs through this book is that of making inferences about sources of variation or uncertainty. The author shows how information about these sources can be used for improved (shrinkage) estimation of certain elementary quantities. Among the topics covered are essay rating, summarizing item-level properties, test equating, small-area estimation, and longitudinal analysis with missing data. Throughout, examples are given using real data sets that exemplify these applications.
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Models for Uncertainty in Educational Testing (Springer Series in Statistics)
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 285 | Sprache: Englisch | Produktart: Bücher | A theme running through this book is that of making inference about sources of variation or uncertainty, and the author shows how information about these sources can be used for improved estimation of certain elementary quantities. Amongst the topics covered are: essay rating, summarizing item-level properties, equating of tests, small-area estimation, and incomplete longitudinal studies. Throughout, examples are given using real data sets which exemplify these applications. Seller Inventory # 40/202
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