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Record Nr. |
UNINA9910811246203321 |
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Titolo |
New developments in categorical data analysis for the social and behavioral sciences / / edited by L. Andries van der Ark, Marcel A. Croon, Klaas Sijtsma |
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Pubbl/distr/stampa |
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Mahwah, N.J., : Lawrence Erlbaum, c2005 |
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ISBN |
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1-283-29386-2 |
9786613293862 |
1-135-70485-6 |
1-4106-1202-3 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (xii, 261 pages) : illustrations |
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Collana |
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Quantitative methodology series |
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Altri autori (Persone) |
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ArkL. Andries van der |
CroonMarcel A |
SijtsmaK <1955-> (Klaas) |
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Disciplina |
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Soggetti |
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Social sciences - Statistical methods |
Statistics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and indexes. |
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Nota di contenuto |
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Contents; Preface; About the Authors; 1 Statistical Models for Categorical Variables; 2 Misclassification Phenomena in Categorical Data Analysis: Regression Toward the Mean and Tendency Toward the Mode; 3 Factor Analysis With Categorical Indicators: A Comparison Between Traditional and Latent Class Approaches; 4 Bayesian Computational Methods for Inequality Constrained Latent Class Analysis; 5 Analyzing Categorical Data by Marginal Models; 6 Computational Aspects of the E-M and Bayesian Estimation in Latent Variable Models; 7 Logistic Models for Single-Subject Time Series |
8 The Effect of Missing Data Imputation on Mokken Scale Analysis; 9 Building IRT Models From Scratch: Graphical Models, Exchangeability, Marginal Freedom, Scale Types, and Latent Traits; 10 The Nedelsky Model for Multiple-Choice Items; 11 Application of the Polytomous Saltus Model to Stage-Like Proportional Reasoning Data; 12 Multilevel IRT Model Assessment; Author Index; Subject Index |
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Sommario/riassunto |
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Categorical data are quantified as either nominal variables-- |
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distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of punishment for committing burglary. This new book is a collection of up-to-date studies on modern categorical data analysis methods, emphasizing their application to relevant and interesting data sets. This volume concentrates on latent class analysis and item response theory. |
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