Models for Uncertainty in Educational Testing
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Beschreibung
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.
Autor*in
Nicholas T. Longford
Themen in »Models for Uncertainty in Educational Testing«
Estimator Fitting Generalized linear model Likelihood Logistic Regression Percentile Variance best fit correlation expectation–maximization algorithm