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9780805833881

Data Analysis: A Model Comparison Approach, Second Edition

Charles M. Judd; Gary H. McClelland; Carey S. Ryan

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9780805833881: Data Analysis: A Model Comparison Approach, Second Edition

This completely rewritten classic text features many new examples, insights and topics including mediational, categorical, and multilevel models. Substantially reorganized, this edition provides a briefer, more streamlined examination of data analysis. Noted for its model-comparison approach and unified framework based on the general linear model, the book provides readers with a greater understanding of a variety of statistical procedures. This consistent framework, including consistent vocabulary and notation, is used throughout to develop fewer but more powerful model building techniques. The authors show how all analysis of variance and multiple regression can be accomplished within this framework. The model-comparison approach provides several benefits:

  • It strengthens the intuitive understanding of the material thereby increasing the ability to successfully analyze data in the future
  • It provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of questions
  • It reduces the number of statistical techniques that must be memorized
  • It teaches readers how to become data analysts instead of statisticians.

The book opens with an overview of data analysis. All the necessary concepts for statistical inference used throughout the book are introduced in Chapters 2 through 4. The remainder of the book builds on these models. Chapters 5 - 7 focus on regression analysis, followed by analysis of variance (ANOVA), mediational analyses, non-independent or correlated errors, including multilevel modeling, and outliers and error violations. The book is appreciated by all for its detailed treatment of ANOVA, multiple regression, nonindependent observations, interactive and nonlinear models of data, and its guidance for treating outliers and other problematic aspects of data analysis.

Intended for advanced undergraduate or graduate courses on data analysis, statistics, and/or quantitative methods taught in psychology, education, or other behavioral and social science departments, this book also appeals to researchers who analyze data. A protected website featuring additional examples and problems with data sets, lecture notes, PowerPoint presentations, and class-tested exam questions is available to adopters. This material uses SAS but can easily be adapted to other programs. A working knowledge of basic algebra and any multiple regression program is assumed.

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About the Author:

Charles "Chick" Judd is Professor of Distinction in the College of Arts and Sciences at the University of Colorado at Boulder. He received his Ph.D. in 1976 from Columbia University. A Fellow of the American Psychological Association, the Society of Personality and Social Psychology, and the Society for the Psychological Study of Social Issues, Dr. Judd’s research focuses on social cognition and attitudes, intergroup relations and stereotypes, judgment and decision making, and methods of behavioral science research and data analysis.

Gary McClelland is Professor of Psychology at the University of Colorado at Boulder. He received his Ph.D. in 1974 from The University of Michigan. A Faculty Fellow at the Institute of Cognitive Science, Dr. McClelland’s research interests include judgment and decision making, psychological models of economic behavior, statistics and data analysis, measurement and scaling, and mathematical psychology.

Carey S. Ryan is a Professor in the Department of Psychology at the University of Nebraska at Omaha. After earning her Ph.D. at the University of Colorado at Boulder, Professor Ryan taught at the University of Pittsburgh and joined the University of Nebraska faculty in 2001. She has research interests in stereotyping and prejudice, group processes, and program evaluation.

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Charles M. Judd; Gary H. McClelland; Carey S. Ryan Author
Published by Taylor Francis Inc, United States (2008)
ISBN 10: 0805833889 ISBN 13: 9780805833881
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Book Description Taylor Francis Inc, United States, 2008. Hardback. Book Condition: New. 2nd Revised edition. 254 x 178 mm. Language: English Brand New Book. This completely rewritten classic text features many new examples, insights and topics including mediational, categorical, and multilevel models. Substantially reorganized, this edition provides a briefer, more streamlined examination of data analysis. Noted for its model-comparison approach and unified framework based on the general linear model, the book provides readers with a greater understanding of a variety of statistical procedures. This consistent framework, including consistent vocabulary and notation, is used throughout to develop fewer but more powerful model building techniques. The authors show how all analysis of variance and multiple regression can be accomplished within this framework. The model-comparison approach provides several benefits: * It strengthens the intuitive understanding of the material thereby increasing the ability to successfully analyze data in the future * It provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of questions * It reduces the number of statistical techniques that must be memorized * It teaches readers how to become data analysts instead of statisticians. The book opens with an overview of data analysis. All the necessary concepts for statistical inference used throughout the book are introduced in Chapters 2 through 4. The remainder of the book builds on these models. Chapters 5 - 7 focus on regression analysis, followed by analysis of variance (ANOVA), mediational analyses, non-independent or correlated errors, including multilevel modeling, and outliers and error violations. The book is appreciated by all for its detailed treatment of ANOVA, multiple regression, nonindependent observations, interactive and nonlinear models of data, and its guidance for treating outliers and other problematic aspects of data analysis. Intended for advanced undergraduate or graduate courses on data analysis, statistics, and/or quantitative methods taught in psychology, education, or other behavioral and social science departments, this book also appeals to researchers who analyze data. A protected website featuring additional examples and problems with data sets, lecture notes, PowerPoint presentations, and class-tested exam questions is available to adopters. This material uses SAS but can easily be adapted to other programs. A working knowledge of basic algebra and any multiple regression program is assumed. Bookseller Inventory # AAZ9780805833881

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Charles M. Judd; Gary H. McClelland; Carey S. Ryan Author
Published by Taylor Francis Inc, United States (2008)
ISBN 10: 0805833889 ISBN 13: 9780805833881
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Book Description Taylor Francis Inc, United States, 2008. Hardback. Book Condition: New. 2nd Revised edition. 254 x 178 mm. Language: English Brand New Book. This completely rewritten classic text features many new examples, insights and topics including mediational, categorical, and multilevel models. Substantially reorganized, this edition provides a briefer, more streamlined examination of data analysis. Noted for its model-comparison approach and unified framework based on the general linear model, the book provides readers with a greater understanding of a variety of statistical procedures. This consistent framework, including consistent vocabulary and notation, is used throughout to develop fewer but more powerful model building techniques. The authors show how all analysis of variance and multiple regression can be accomplished within this framework. The model-comparison approach provides several benefits: * It strengthens the intuitive understanding of the material thereby increasing the ability to successfully analyze data in the future * It provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of questions * It reduces the number of statistical techniques that must be memorized * It teaches readers how to become data analysts instead of statisticians. The book opens with an overview of data analysis. All the necessary concepts for statistical inference used throughout the book are introduced in Chapters 2 through 4. The remainder of the book builds on these models. Chapters 5 - 7 focus on regression analysis, followed by analysis of variance (ANOVA), mediational analyses, non-independent or correlated errors, including multilevel modeling, and outliers and error violations. The book is appreciated by all for its detailed treatment of ANOVA, multiple regression, nonindependent observations, interactive and nonlinear models of data, and its guidance for treating outliers and other problematic aspects of data analysis. Intended for advanced undergraduate or graduate courses on data analysis, statistics, and/or quantitative methods taught in psychology, education, or other behavioral and social science departments, this book also appeals to researchers who analyze data. A protected website featuring additional examples and problems with data sets, lecture notes, PowerPoint presentations, and class-tested exam questions is available to adopters. This material uses SAS but can easily be adapted to other programs. A working knowledge of basic algebra and any multiple regression program is assumed. Bookseller Inventory # AAZ9780805833881

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Charles M. Judd; Gary H. McClelland; Carey S. Ryan Author
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Book Description Routledge, 2008. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: Introduction to Data Analysis. Simple Models: Definitions of Error and Parameter Estimates. Simple Models: Models of Error and Sampling Distributions. Simple Models: Statistical Inferences about Parameter Values. Simple Regression: Estimating Models with a Single Continuous Predictor. Multiple Regression: Models with Multiple Continuous Predictors. Moderated and Nonlinear Regression Models. One-Way ANOVA: Models with a Single Categorical Predictor. Factorial ANOVA: Models with Multiple Categorical Predictors and Product Terms. Models with Continuous and Categorical Predictors: ANCOVA. Repeated-Measures ANOVA: Models with Nonindependent Errors. Continuous Predictors with Nonindependent Observations. Outliers and Ill-Mannered Error. Bookseller Inventory # ABE_book_new_0805833889

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Book Description 2008. Hardcover. Book Condition: New. 2nd. 178mm x 23mm x 254mm. Hardcover. This completely rewritten classic text features many new examples, insights and topics including mediational, categorical, and multilevel models. Substantially reorganized, this edition pr.Shipping may be from multiple locations in the US or from the UK, depending on stock availability. 344 pages. 0.771. Bookseller Inventory # 9780805833881

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Book Description Routledge, 2008. Hardcover. Book Condition: New. Brand New Book. Shipping: Once your order has been confirmed and payment received, your order will then be processed. The book will be located by our staff, packaged and despatched to you as quickly as possible. From time to time, items get mislaid en route. If your item fails to arrive, please contact us first. We will endeavour to trace the item for you and where necessary, replace or refund the item. Please do not leave negative feedback without contacting us first. All orders will be dispatched within two working days. If you have any quesions please contact us. Bookseller Inventory # V9780805833881

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Book Description Routledge, 2016. Hardback. Book Condition: NEW. 9780805833881 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Print on Demand title, produced to the highest standard, and there would be a delay in dispatch of around 15 working days. Bookseller Inventory # HTANDREE0180169

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Book Description Routledge. Book Condition: New. Features many examples, insights and topics including mediational, categorical, and multilevel models of data analysis. This book focuses on regression analysis, followed by analysis of variance (ANOVA), mediational analyses, non-independent or correlated errors, including multilevel modeling, and outliers and error violations. Num Pages: 344 pages, 65 black & white illustrations, 107 black & white tables, 65 black & white line drawings. BIC Classification: JMB. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 264 x 186 x 21. Weight in Grams: 808. . 2008. 2nd Edition. Hardcover. . . . . Bookseller Inventory # V9780805833881

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Book Description Routledge, 2008. Hardcover. Book Condition: New. 2. Bookseller Inventory # DADAX0805833889

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Book Description Routledge. Book Condition: New. Features many examples, insights and topics including mediational, categorical, and multilevel models of data analysis. This book focuses on regression analysis, followed by analysis of variance (ANOVA), mediational analyses, non-independent or correlated errors, including multilevel modeling, and outliers and error violations. Num Pages: 344 pages, 65 black & white illustrations, 107 black & white tables, 65 black & white line drawings. BIC Classification: JMB. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 264 x 186 x 21. Weight in Grams: 808. . 2008. 2nd Edition. Hardcover. . . . . Bookseller Inventory # V9780805833881

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