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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook introduces invariant measurement in the human sciences based on the principles of Rasch measurement theory and presents explanatory Rasch models that integrate item and person covariates that can deepen the understanding of item response processes. The basic family of Rasch models reflects descriptive measurement models. This book describes explanatory item response models that can be used to explore and predict item response probabilities using item and person variables (covariates) that can be explicitly included in measurement models for the purpose of constructing scales to represent latent variables. The analyses described in this book offer methodological tools that can be used to delve more deeply into person responses to a set of items designed to represent a latent variable or construct. Item and person covariates provide insight into aspects of measurement procedures that may influence or explain measurement properties, such as item difficulty or level of person achievement. Rasch measurement theory provides the opportunity to include both person and item covariates that allows for more nuanced substantive analyses of latent variables that go beyond description. Across chapters, the book progresses from foundational principles and generalized linear mixed models (GLMMs) for estimating Rasch models, to applications in measurement quality evaluation, explanatory modeling, rater-mediated assessments, instrument development, and rating scale analysis. Invariant Measurement with Explanatory Rasch Models in the Human Sciences will be a valuable resource for advanced undergraduate and graduate students in the human sciences attending advanced undergraduate courses on test theory and measurement, as well as graduate-level courses and seminars on rating scales and invariant measurement. This book can also be used as a supplementary textbook in a variety of courses on research methodology in the social, behavioral and health sciences including psychology, public health, anthropology, sociology education and economics.
Lingua: Inglese
Editore: Springer, Berlin, Springer Mai 2026, 2026
ISBN 10: 3032088151 ISBN 13: 9783032088154
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook introduces invariant measurement in the human sciences based on the principles of Rasch measurement theory and presents explanatory Rasch models that integrate item and person covariates that can deepen the understanding of item response processes. The basic family of Rasch models reflects descriptive measurement models. This book describes explanatory item response models that can be used to explore and predict item response probabilities using item and person variables (covariates) that can be explicitly included in measurement models for the purpose of constructing scales to represent latent variables. The analyses described in this book offer methodological tools that can be used to delve more deeply into person responses to a set of items designed to represent a latent variable or construct. Item and person covariates provide insight into aspects of measurement procedures that may influence or explain measurement properties, such as item difficulty or level of person achievement. Rasch measurement theory provides the opportunity to include both person and item covariates that allows for more nuanced substantive analyses of latent variables that go beyond description. Across chapters, the book progresses from foundational principles and generalized linear mixed models (GLMMs) for estimating Rasch models, to applications in measurement quality evaluation, explanatory modeling, rater-mediated assessments, instrument development, and rating scale analysis. Invariant Measurement with Explanatory Rasch Models in the Human Sciences will be a valuable resource for advanced undergraduate and graduate students in the human sciences attending advanced undergraduate courses on test theory and measurement, as well as graduate-level courses and seminars on rating scales and invariant measurement. This book can also be used as a supplementary textbook in a variety of courses on research methodology in the social, behavioral and health sciences including psychology, public health, anthropology, sociology education and economics. 220 pp. Englisch.
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Aggiungi al carrelloBuch. Condizione: Neu. Invariant Measurement with Explanatory Rasch Models in the Human Sciences | George Engelhard (u. a.) | Buch | xxii | Englisch | 2026 | Springer | EAN 9783032088154 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This textbook introduces invariant measurement in the human sciences based on the principles of Rasch measurement theory and presents explanatory Rasch models that integrate item and person covariates that can deepen the understanding of item response processes. The basic family of Rasch models reflects descriptive measurement models. This book describes explanatory item response models that can be used to explore and predict item response probabilities using item and person variables (covariates) that can be explicitly included in measurement models for the purpose of constructing scales to represent latent variables. The analyses described in this book offer methodological tools that can be used to delve more deeply into person responses to a set of items designed to represent a latent variable or construct. Item and person covariates provide insight into aspects of measurement procedures that may influence or explain measurement properties, such as item difficulty or level of person achievement. Rasch measurement theory provides the opportunity to include both person and item covariates that allows for more nuanced substantive analyses of latent variables that go beyond description. Across chapters, the book progresses from foundational principles and generalized linear mixed models (GLMMs) for estimating Rasch models, to applications in measurement quality evaluation, explanatory modeling, rater-mediated assessments, instrument development, and rating scale analysis. Invariant Measurement with Explanatory Rasch Models in the Human Sciences will be a valuable resource for advanced undergraduate and graduate students in the human sciences attending advanced undergraduate courses on test theory and measurement, as well as graduate-level courses and seminars on rating scales and invariant measurement. This book can also be used as a supplementary textbook in a variety of courses on research methodology in the social, behavioral and health sciences including psychology, public health, anthropology, sociology education and economics.Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg 244 pp. Englisch.