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Cover: 9781032477923 | Item Response Theory | Parameter Estimation Techniques, Second Edition
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Item Response Theory
Parameter Estimation Techniques, Second Edition
Taschenbuch von Frank B. Baker (u. a.)
Sprache: Englisch

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Beschreibung
Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations of algorithms that can be used to estimate the item or ability parameters under various IRT models. Extensively revised and expanded, this edition offers three new chapters discussing parameter estimation with multiple groups, parameter estimation for a test with mixed item types, and Markov chain Monte Carlo methods. It includes discussions on issues related to statistical theory, numerical methods, and the mechanics of computer programs for parameter estimation, which help to build a clear understanding of the computational demands and challenges of IRT estimation procedures.
Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations of algorithms that can be used to estimate the item or ability parameters under various IRT models. Extensively revised and expanded, this edition offers three new chapters discussing parameter estimation with multiple groups, parameter estimation for a test with mixed item types, and Markov chain Monte Carlo methods. It includes discussions on issues related to statistical theory, numerical methods, and the mechanics of computer programs for parameter estimation, which help to build a clear understanding of the computational demands and challenges of IRT estimation procedures.
Inhaltsverzeichnis
The Item Characteristic Curve: Dichotomous Response. Estimating the Parameters of an Item Characteristic Curve. Maximum Likelihood Estimation of Examinee Ability. Maximum Likelihood Procedures for Estimating Both Ability and Item Parameters. The Rasch Model. Marginal Maximum Likelihood Estimation and an EM Algorithm. Bayesian Parameter Estimation Procedures. The Graded Item Response. Nominally Scored Items. Markov Chain Monte Carlo Methods. Parameter Estimation with Multiple Groups. Parameter Estimation for a Test with Mixed Item Types
Details
Medium: Taschenbuch
ISBN-13: 9781032477923
ISBN-10: 103247792X
Sprache: Englisch
Redaktion: Baker, Frank B.
Kim, Seock-Ho
Auflage: 2. Aufl.
Hersteller: CRC Press
Taylor & Francis
Maße: 28 x 156 x 234 mm
Von/Mit: Frank B. Baker (u. a.)
Gewicht: 0,453 kg
Artikel-ID: 130026444
Inhaltsverzeichnis
The Item Characteristic Curve: Dichotomous Response. Estimating the Parameters of an Item Characteristic Curve. Maximum Likelihood Estimation of Examinee Ability. Maximum Likelihood Procedures for Estimating Both Ability and Item Parameters. The Rasch Model. Marginal Maximum Likelihood Estimation and an EM Algorithm. Bayesian Parameter Estimation Procedures. The Graded Item Response. Nominally Scored Items. Markov Chain Monte Carlo Methods. Parameter Estimation with Multiple Groups. Parameter Estimation for a Test with Mixed Item Types
Details
Medium: Taschenbuch
ISBN-13: 9781032477923
ISBN-10: 103247792X
Sprache: Englisch
Redaktion: Baker, Frank B.
Kim, Seock-Ho
Auflage: 2. Aufl.
Hersteller: CRC Press
Taylor & Francis
Maße: 28 x 156 x 234 mm
Von/Mit: Frank B. Baker (u. a.)
Gewicht: 0,453 kg
Artikel-ID: 130026444
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