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Data Analysis: A Model Comparison Approach - Charles M. Judd, Gary H. McClelland, Carey S. Ryan
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Charles M. Judd, Gary H. McClelland, Carey S. Ryan:

Data Analysis: A Model Comparison Approach - neues Buch

ISBN: 9780805833881

ID: 978080583388

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 futureIt provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of questionsIt reduces the number of statistical techniques that must be memorizedIt 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. Charles M. Judd, Gary H. McClelland, Carey S. Ryan, Books, Health and Well Being, Data Analysis: A Model Comparison Approach Books>Health and Well Being, Routledge

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Data Analysis: A Model Comparison Approach - Judd, Charles M. / McClelland, Gary / Ryan, Carey
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ISBN: 9780805833881

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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. Data Analysis: A Model Comparison Approach Judd, Charles M. / McClelland, Gary / Ryan, Carey, Routledge

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Data Analysis: A Model Comparison Approach, Second Edition - Charles M. Judd, Gary H. McClelland, Carey S. Ryan
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Data Analysis: A Model Comparison Approach, Second Edition - gebunden oder broschiert

2008

ISBN: 0805833889

[SR: 195440], Hardcover, [EAN: 9780805833881], Routledge, Routledge, Book, [PU: Routledge], 2008-10-29, Routledge, This completely rewritten classic text features many new examples, insights and topics including...., 276399, Testing & Measurement, 276397, Methodology, 276348, Psychology & Psychiatry, 74, Health, Family & Lifestyle, 1025612, Subjects, 266239, Books, 496534, Jung, Carl, 496514, Schools of Thought, 276348, Psychology & Psychiatry, 74, Health, Family & Lifestyle, 1025612, Subjects, 266239, Books, 923006, Higher Education, 922526, Education, 278320, Mathematics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 922988, Teaching Aids, 922526, Education, 278320, Mathematics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 278385, Probability & Statistics, 278320, Mathematics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 4119301, Education Studies, 60, Society, Politics & Philosophy, 1025612, Subjects, 266239, Books, 276543, Statistics & Research, 496644, Methodology & Research, 276411, Social Sciences, 60, Society, Politics & Philosophy, 1025612, Subjects, 266239, Books

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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. A Model Comparison Approach Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Taylor & Francis

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Details zum Buch
Data Analysis: A Model Comparison Approach, Second Edition
Autor:

Judd, Charles M.; McClelland, Gary; Ryan, Carey

Titel:

Data Analysis: A Model Comparison Approach, Second Edition

ISBN-Nummer:

0805833889

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.

Detailangaben zum Buch - Data Analysis: A Model Comparison Approach, Second Edition


EAN (ISBN-13): 9780805833881
ISBN (ISBN-10): 0805833889
Gebundene Ausgabe
Erscheinungsjahr: 2008
Herausgeber: LAWRENCE ERLBAUM ASSOC INC
344 Seiten
Gewicht: 0,778 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 28.04.2008 12:52:47
Buch zuletzt gefunden am 01.11.2016 23:38:46
ISBN/EAN: 0805833889

ISBN - alternative Schreibweisen:
0-8058-3388-9, 978-0-8058-3388-1

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