Data Analysis: A Model Comparison Approach

3,86 valoración promedio
( 14 valoraciones por GoodReads )
 
9780805833881: Data Analysis: A Model Comparison Approach
Críticas:

"This text’s focus on a unifying framework and nonthreatening style sets it apart. I would certainly recommend this book to a student or colleague struggling to gain an intuitive understanding of the concepts. The original edition was popular and influential. I expect the second edition will be as well." - Kristopher J. Preacher, University of Kansas

"I am absolutely delighted to report that in virtually every way I could hope for, the new edition is better. The scholarship is top-notch, but in a very accessible way. The authors write beautifully … I will absolutely adopt and recommend the second edition. I love it." - J. Michael Bailey, Northwestern University

"After reviewing eight potential textbooks for my … graduate statistics course, I chose this one … The thoroughness with which the book teaches the model comparison approach allows students to understand and develop meaningful analyses of their own data." -Deborah M. Clawson, Catholic University, USA

"This second edition is the perfect book for today's data analysts." -David Kenny, University of Connecticut, USA

Reseña del editor:

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

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Judd, Charles M.; McClelland, Gary; Ryan, Carey
ISBN 10: 0805833889 ISBN 13: 9780805833881
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Descripción Estado de conservación: New. Depending on your location, this item may ship from the US or UK. Nº de ref. de la librería 97808058338810000000

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2.

Charles M. Judd, Gary H. McClelland, Carey S. Ryan
Editorial: Taylor Francis Inc, United States (2008)
ISBN 10: 0805833889 ISBN 13: 9780805833881
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Descripción Taylor Francis Inc, United States, 2008. Hardback. Estado de conservación: 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. Nº de ref. de la librería AAZ9780805833881

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3.

Charles M. Judd, Gary H. McClelland, Carey S. Ryan
Editorial: Taylor Francis Inc, United States (2008)
ISBN 10: 0805833889 ISBN 13: 9780805833881
Nuevos Tapa dura Cantidad: 1
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The Book Depository US
(London, Reino Unido)
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[?]

Descripción Taylor Francis Inc, United States, 2008. Hardback. Estado de conservación: 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. Nº de ref. de la librería AAZ9780805833881

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Charles M. Judd, Gary H. McClelland, Carey S. Ryan
Editorial: Taylor & Francis Inc 2008-09-15, New York (2008)
ISBN 10: 0805833889 ISBN 13: 9780805833881
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Descripción Taylor & Francis Inc 2008-09-15, New York, 2008. hardback. Estado de conservación: New. Nº de ref. de la librería 9780805833881

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Judd, Charles M.; McClelland, Gary; Ryan, Carey
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Descripción Estado de conservación: New. Bookseller Inventory # ST0805833889. Nº de ref. de la librería ST0805833889

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Charles M. Judd, Gary H. McClelland, Carey S. Ryan,
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Descripción Hardback. Estado de conservación: New. Not Signed; 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 uni. book. Nº de ref. de la librería ria9780805833881_rkm

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Descripción Estado de conservación: New. This item is Print on Demand - Depending on your location, this item may ship from the US or UK. Nº de ref. de la librería POD_9780805833881

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JUDD, CHARLES M.; MCCLELLAND, GARY H.; RYAN, CAREY S.
Editorial: Routledge (2017)
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Descripción Routledge, 2017. Hardback. Estado de conservación: 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 10 working days. Nº de ref. de la librería HTANDREE0180169

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Charles M. Judd
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Descripción 2008. Hardcover. Estado de conservación: 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. Nº de ref. de la librería 9780805833881

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Judd, Charles M.
Editorial: Routledge (2016)
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Descripción Routledge, 2016. Paperback. Estado de conservación: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Nº de ref. de la librería ria9780805833881_lsuk

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