Explanatory Item Response Models, Softcover reprint of the original 1st ed. 2004
A Generalized Linear and Nonlinear Approach
Statistics for Social and Behavioral Sciences Series

Coordinators: de Boeck Paul, Wilson Mark

Language: English

189.89 €

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Explanatory item response models: a generalized linear and nonlinear approach (paperback) previously published in hardcover (series:
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382 p. · 15.5x23.5 cm · Paperback

189.89 €

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Explanatory item response models a generalized linear and nonlinear approach statistics for social science and public policy (POD)
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This edited volume gives a new and integrated introduction to item response models (predominantly used in measurement applications in psychology, education, and other social science areas) from the viewpoint of the statistical theory of generalized linear and nonlinear mixed models. It also includes a chapter on the statistical background and one on useful software.

1 A framework for item response models.- 2 Descriptive and explanatory item response models.- 3 Models for polytomous data.- 4 An Introduction to (Generalized (Non)Linear Mixed Models.- 5 Person regression models.- 6 Models with item and item group predictors.- 7 Person-by-item predictors.- 8 Multiple person dimensions and latent item predictors.- 9 Latent item predictors with fixed effects.- 10 Models for residual dependencies.- 11 Mixture Models.- 12 Estimation and software.- Afterword.

Gives a new and integrated introduction to item response models (predominantly used in measurement applications in psychology, education, and other social science areas) from the viewpoint of the statistical theory of generalized linear and nonlinear mixed models