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010 a| 2020051576;

020 a| 9780367352745q| (hbk);

020 a| 9780367352769q| (pbk);

020 z| 9780429330308q| (ebk);

035 a| (WaSeSS)ssj0002459057;

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050 00 a| HA29b| .A94 2021;

082 00 a| 300.72/72| 23;

100 1 a| Azen, Razia,d| 1969-?| UNAUTHORIZED;

245 10 a| Categorical data analysis for the behavioral and social sciencesh| [electronic resource] /c| Razia Azen and Cindy M. Walker.;

250 a| Second edition.;

260 a| New York ;a| London :b| Routledge Taylor & Francis Group,c| 2021.;

300 a| xi, 313 pages :b| illustrations ;c| 26 cm;

504 a| Includes bibliographical references and index.;

505 0 a| Introduction and overview -- Probability distributions -- Proportions, estimation, and goodness-of-fit -- Association between two categorical variables -- Associations between three categorical variables -- Modeling and the generalized linear model -- Log-linear models -- Logistic regression with continuous predictors -- Logistic regression with categorical predictors -- Logistic regression for multicategory outcomes -- Generalized linear mixed models -- Appendix -- References -- Index.;

506 a| Available only to authorized users.;

520 a| "Featuring a practical approach with numerous examples, the second edition of Categorical Data Analysis for the Behavioral and Social Sciences focuses on helping the reader develop a conceptual understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analysis methods and emphasize specific research questions that can be addressed by each analytic procedure, including how to obtain results using SPSS, SAS, and R, so that readers are able to address the research questions they wish to answer. Each chapter begins with a 'Look Ahead' section to highlight key content. This is followed by an in-depth focus and explanation of the relationship between the initial research question, the use of software to perform the analyses, and how to interpret the output substantively. Included at the end of each chapter are a range of software examples and questions to test knowledge"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Social sciencesx| Statistical methods.=| ^A4814;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Walker, Cindy M.,d| 1965-?| UNAUTHORIZED;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9780429330308;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6659141-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 12/18/2025x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6659141-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 12/18/2025x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6659141-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 12/18/2025x| EBOOKz| JERESOURCE;

Categorical data analysis for the behavioral and social sciences / Razia Azen and Cindy M. Walker.

Author/creator	Azen, Razia, 1969-
Other author	Walker, Cindy M., 1965-
Format	Electronic
Edition	Second edition.
Publication Info	New York ; London : Routledge Taylor & Francis Group, 2021.
Description	xi, 313 pages : illustrations ; 26 cm
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Social sciences--Statistical methods.

Contents	Introduction and overview -- Probability distributions -- Proportions, estimation, and goodness-of-fit -- Association between two categorical variables -- Associations between three categorical variables -- Modeling and the generalized linear model -- Log-linear models -- Logistic regression with continuous predictors -- Logistic regression with categorical predictors -- Logistic regression for multicategory outcomes -- Generalized linear mixed models -- Appendix -- References -- Index.
Abstract	"Featuring a practical approach with numerous examples, the second edition of Categorical Data Analysis for the Behavioral and Social Sciences focuses on helping the reader develop a conceptual understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analysis methods and emphasize specific research questions that can be addressed by each analytic procedure, including how to obtain results using SPSS, SAS, and R, so that readers are able to address the research questions they wish to answer. Each chapter begins with a 'Look Ahead' section to highlight key content. This is followed by an in-depth focus and explanation of the relationship between the initial research question, the use of software to perform the analyses, and how to interpret the output substantively. Included at the end of each chapter are a range of software examples and questions to test knowledge"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2020051576
ISBN	9780367352745 (hbk)
ISBN	9780367352769 (pbk)
ISBN	(ebk)

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Categorical data analysis for the behavioral and social sciences / Razia Azen and Cindy M. Walker.

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