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Download the fantastic book titled Applied Multivariate Statistics for the Social Sciences written by Keenan A. Pituch, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Applied Multivariate Statistics for the Social Sciences", which was released on 07 December 2015. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Psychology genre.

Summary of Applied Multivariate Statistics for the Social Sciences by Keenan A. Pituch PDF

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 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.


Detail About Applied Multivariate Statistics for the Social Sciences PDF

  • Author : Keenan A. Pituch
  • Publisher : Routledge
  • Genre : Psychology
  • Total Pages : 814 pages
  • ISBN : 1317805925
  • PDF File Size : 33,6 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Applied Multivariate Statistics for the Social Sciences

Applied Multivariate Statistics for the Social Sciences
  • Publisher : Routledge
  • File Size : 21,8 Mb
  • Release Date : 07 December 2015
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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

Applied Multivariate Statistics for the Social Sciences

Applied Multivariate Statistics for the Social Sciences
  • Publisher : Unknown Publisher
  • File Size : 53,8 Mb
  • Release Date : 07 June 1996
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This book was written for those who will be using, rather than developing, advanced statistical methods. It focuses on a conceptual understanding of the material rather than proving results. It

Applied Multivariate Statistics for the Social Sciences

Applied Multivariate Statistics for the Social Sciences
  • Publisher : Lawrence Erlbaum Associates
  • File Size : 36,7 Mb
  • Release Date : 07 June 1992
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This book was written for those who will be using, rather than developing, advanced statistical methods. It focuses on a conceptual understanding of the material rather than proving results. It

Applied Multivariate Statistics for the Social Sciences

Applied Multivariate Statistics for the Social Sciences
  • Publisher : Psychology Press
  • File Size : 38,5 Mb
  • Release Date : 07 June 1996
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Of Important Points -- Two-Group Multivariate Analysis Of Variance -- Four Statistical Reasons for Preferring a Multivariate Analysis -- The Multivariate Test Statistic as a Generalization of Univariate t --

Applied Multivariate Statistics for the Social Sciences

Applied Multivariate Statistics for the Social Sciences
  • Publisher : Routledge
  • File Size : 53,5 Mb
  • Release Date : 07 December 2015
GET 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

Applied Multivariate Research

Applied Multivariate Research
  • Publisher : SAGE Publications
  • File Size : 35,7 Mb
  • Release Date : 28 October 2016
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Using a conceptual, non-mathematical approach, the updated Third Edition provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter. Authors

An Introduction to Applied Multivariate Analysis

An Introduction to Applied Multivariate Analysis
  • Publisher : Routledge
  • File Size : 55,5 Mb
  • Release Date : 10 March 2008
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This comprehensive text introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level. By focusing on the fundamentals, readers are better prepared for more advanced applied