Paperback. By using familiar concepts from classical measurement methods and basic statistics, this book introduces the basics of item response theory (IRT) and explains the application of IRT methods to problems in test construction, identification of potentially biased test items, test equating and computerized-adaptive testing. The book also includes a thorough discussion of alternative procedures for estimating IRT parameters and concludes with an exploration of new directions in IRT research and development. By using familiar concepts from classical measurement methods and basic statistics, this book introduces the basics of item response theory (IRT) and explains the applications of IRT methods to problems in test construction, identification of potentially biased test items and test equating. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

N� de r�f. du vendeur 9780803936478

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D�tails bibliographiques

Titre

Fundamentals of Item Response Theory (Paperback)

�diteur

SAGE Publications Inc, Thousand Oaks

Date de parution

1991

Langue

anglais

ISBN � 10 chiffres

0803936478

ISBN � 13 chiffres

9780803936478

Reliure

Paperback

�dition

Edition originale

�tat de l'article

new

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A propos de ce titre

Synopsis

Using familiar concepts from classical measurement methods and basic statistics, Hambleton and colleagues introduce the basics of item response theory (IRT) and explain the application of IRT methods to problems in test construction, identification of potentially biased test items, test equating, and computerized-adaptive testing. The book also includes a thorough discussion of alternative procedures for estimating IRT parameters, such as maximum likelihood estimation, marginal maximum likelihood estimation, and Bayesian estimation in such a way that the reader does not need any knowledge of calculus to follow these explanations. Including step-by-step numerical examples throughout, the book concludes with an exploration of new directions in IRT research and development.

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