Applied Multivariate Statistics for the Social Sciences, Sixth Edition

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9780415836661: Applied Multivariate Statistics for the Social Sciences, Sixth Edition
Présentation de l'éditeur :

Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally.

Features new to this edition include:

    • NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure
    • NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers understand the benefits of this "newer" procedure and how it can be used in conventional and multilevel settings
    • NEW Example Results Section write-ups that illustrate how results should be presented in research papers and journal articles
    • NEW coverage of missing data (Ch. 1) to help students understand and address problems associated with incomplete data
    • Completely re-written chapters on Exploratory Factor Analysis (Ch. 9), Hierarchical Linear Modeling (Ch. 13), and Structural Equation Modeling (Ch. 16) with increased focus on understanding models and interpreting results
    • NEW analysis summaries, inclusion of more syntax explanations, and reduction in the number of SPSS/SAS dialogue boxes to guide students through data analysis in a more streamlined and direct approach
    • Updated syntax to reflect newest versions of IBM SPSS (21) /SAS (9.3)
    • A free companion website www.routledge.com/9780415836661 with data sets and syntax from the text, additional data sets, and instructor’s resources (including PowerPoint lecture slides for select chapters, a conversion guide for 5th edition adopters, and answers to exercises).

Ideal for advanced graduate-level courses in education, psychology, and other social sciences in which multivariate statistics, advanced statistics, or quantitative techniques courses are taught, this book also appeals to practicing researchers as a valuable reference. Pre-requisites include a course on factorial ANOVA and covariance; however, a working knowledge of matrix algebra is not assumed.

Biographie de l'auteur :

Keenan Pituch is Associate Professor and Chair of the Quantitative Methods Area in the Department of Educational Psychology at the University of Texas at Austin.

James P Stevens is Professor Emeritus at University of Cincinatti.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

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Description du livre Taylor Francis Ltd, United Kingdom, 2016. Paperback. État : New. 6th Revised edition. 254 x 178 mm. Language: English . Brand New Book. Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally. Features new to this edition include: * NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure * NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers understand the benefits of this newer procedure and how it can be used in conventional and multilevel settings * NEW Example Results Section write-ups that illustrate how results should be presented in research papers and journal articles * NEW coverage of missing data (Ch. 1) to help students understand and address problems associated with incomplete data * Completely re-written chapters on Exploratory Factor Analysis (Ch. 9), Hierarchical Linear Modeling (Ch. 13), and Structural Equation Modeling (Ch. 16) with increased focus on understanding models and interpreting results * NEW analysis summaries, inclusion of more syntax explanations, and reduction in the number of SPSS/SAS dialogue boxes to guide students through data analysis in a more streamlined and direct approach * Updated syntax to reflect newest versions of IBM SPSS (21) /SAS (9.3) * A free online resources site at with data sets and syntax from the text, additional data sets, and instructor s resources (including PowerPoint lecture slides for select chapters, a conversion guide for 5th edition adopters, and answers to exercises). Ideal for advanced graduate-level courses in education, psychology, and other social sciences in which multivariate statistics, advanced statistics, or quantitative techniques courses are taught, this book also appeals to practicing researchers as a valuable reference. Pre-requisites include a course on factorial ANOVA and covariance; however, a working knowledge of matrix algebra is not assumed. N° de réf. du libraire AA69780415836661

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Description du livre Taylor Francis Ltd, United Kingdom, 2016. Paperback. État : New. 6th Revised edition. 254 x 178 mm. Language: English . Brand New Book. Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally. Features new to this edition include: * NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure * NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers understand the benefits of this newer procedure and how it can be used in conventional and multilevel settings * NEW Example Results Section write-ups that illustrate how results should be presented in research papers and journal articles * NEW coverage of missing data (Ch. 1) to help students understand and address problems associated with incomplete data * Completely re-written chapters on Exploratory Factor Analysis (Ch. 9), Hierarchical Linear Modeling (Ch. 13), and Structural Equation Modeling (Ch. 16) with increased focus on understanding models and interpreting results * NEW analysis summaries, inclusion of more syntax explanations, and reduction in the number of SPSS/SAS dialogue boxes to guide students through data analysis in a more streamlined and direct approach * Updated syntax to reflect newest versions of IBM SPSS (21) /SAS (9.3) * A free online resources site at with data sets and syntax from the text, additional data sets, and instructor s resources (including PowerPoint lecture slides for select chapters, a conversion guide for 5th edition adopters, and answers to exercises). Ideal for advanced graduate-level courses in education, psychology, and other social sciences in which multivariate statistics, advanced statistics, or quantitative techniques courses are taught, this book also appeals to practicing researchers as a valuable reference. Pre-requisites include a course on factorial ANOVA and covariance; however, a working knowledge of matrix algebra is not assumed. N° de réf. du libraire AA69780415836661

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