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Applied Multivariate Statistics for the Social Sciences: Analyses with SAS and I
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- ISBN-13
- 9780415836661
- Book Title
- Applied Multivariate Statistics for the Social Sciences
- ISBN
- 9780415836661
- Publication Year
- 2015
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Publication Name
- Applied Multivariate Statistics for the Social Sciences : Analyses with SAS and IBM's SPSS, Sixth Edition
- Item Height
- 1.5in
- Item Length
- 10in
- Publisher
- Routledge
- Item Width
- 7in
- Item Weight
- 49.7 Oz
- Number of Pages
- 794 Pages
關於產品
Product Information
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, andreduction 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.
Product Identifiers
Publisher
Routledge
ISBN-10
0415836662
ISBN-13
9780415836661
eBay Product ID (ePID)
211902442
Product Key Features
Publication Name
Applied Multivariate Statistics for the Social Sciences : Analyses with SAS and IBM's SPSS, Sixth Edition
Format
Trade Paperback
Language
English
Publication Year
2015
Type
Textbook
Number of Pages
794 Pages
Dimensions
Item Length
10in
Item Height
1.5in
Item Width
7in
Item Weight
49.7 Oz
Additional Product Features
Lc Classification Number
Qa278.S74 2015
Edition Description
Revised Edition,New Edition
Edition Number
6
Reviews
The new edition maintains the tradition of the great Stevens book (with clear examples using both SAS/SPSS) while incorporating important new information. I also appreciate that this new edition gives more attention to the APA-style write-ups. I look forward to using the 6thedition of this text in my class. -Chris Oshima, Georgia State University, USA This new edition of Applied Multivariate Statistics for the Social Sciencesis even more comprehensive; covering major advanced topics in the social sciences combined with excellent computer-based examples, in-depth discussions, and example write-ups. Yet, it is written in an accessible way that students will find useful and comprehensible. -Namok Choi, University of Louisville, USA While Stevens has always been my "go to" book for multivariate statistics, the revised 6th Edition by Pituch and Stevens improves significantly on the previous version with key chapter revisions and additions, as well as new analysis summaries and results write-ups. -Philip Schatz, Saint Joseph's University, USA The revised 6th edition by Pituch and Stevens is a very valuable and well-written text that provides students with all they need to understand and apply multivariate data analysis. The authors did a great job in revising the chapters, and the new coverage of binary logistic regression, multivariate multilevel modeling, and missing data analysis are a "must" for both applied researchers and graduate students. -Karin Schermelleh-Engel, Goethe University, Germany Stevens improves significantly on the previous version with key chapter revisions and additions, as well as new analysis summaries and results write-ups. -Philip Schatz, Saint Joseph's University, USA The revised 6th edition by Pituch and Stevens is a very valuable and well-written text that provides students with all they need to understand and apply multivariate data analysis. The authors did a great job in revising the chapters, and the new coverage of binary logistic regression, multivariate multilevel modeling, and missing data analysis are a "must" for both applied researchers and graduate students. -Karin Schermelleh-Engel, Goethe University, Germany, The new edition maintains the tradition of the great Stevens book (with clear examples using both SAS/SPSS) while incorporating important new information. I also appreciate that this new edition gives more attention to the APA-style write-ups. I look forward to using the 6thedition of this text in my class. -Chris Oshima, Georgia State University, USA This new edition of Applied Multivariate Statistics for the Social Sciencesis even more comprehensive; covering major advanced topics in the social sciences combined with excellent computer-based examples, in-depth discussions, and example write-ups. Yet, it is written in an accessible way that students will find useful and comprehensible. -Namok Choi, University of Louisville, USA While Stevens has always been my "go to" book for multivariate statistics, the revised 6th Edition by Pituch and Stevens improves significantly on the previous version with key chapter revisions and additions, as well as new analysis summaries and results write-ups. -Philip Schatz, Saint Joseph's University, USA, The new edition maintains the tradition of the great Stevens book (with clear examples using both SAS/SPSS) while incorporating important new information. I also appreciate that this new edition gives more attention to the APA-style write-ups.' I look forward to using the 6th edition of this text in my class. -Chris Oshima, Georgia State University, USA This new edition of Applied Multivariate Statistics for the Social Sciences is even more comprehensive; covering major advanced topics in the social sciences combined with excellent computer-based examples, in-depth discussions, and example write-ups. Yet, it is written in an accessible way that students will find useful and comprehensible. -Namok Choi, University of Louisville, USA While Stevens has always been my "go to" book for multivariate statistics, the revised 6th Edition by Pituch and Stevens improves significantly on the previous version with key chapter revisions and additions, as well as new analysis summaries and results write-ups. -Philip Schatz, Saint Joseph's University, USA
Table of Content
1. Introduction 2. Matrix Algebra 3. Multiple Regression for Prediction 4. Two-Group Multivariate Analysis of Variance 5. K -Group MANOVA: A Priori and Post-Hoc Procedures 6. Assumptions in MANOVA 7. Factorial ANOVA and MANOVA 8. Analysis of Covariance 9. Exploratory Factor Analysis 10. Discriminant Analysis 11. Binary Logistic Regression 12. Repeated-Measures Analysis 13. Hierarchical Linear Modeling 14. Multivariate Multilevel Modeling 15. Canonical Correlation 16. Structural Equation Modeling Appendix A: Statistical Tables Appendix B: Obtaining Nonorthogonal Contrasts in Repeated Measures Design Answers to Half of the Text problems
Copyright Date
2016
Target Audience
Scholarly & Professional
Topic
Probability & Statistics / Multivariate Analysis, Statistics
Lccn
2015-017536
Illustrated
Yes
Genre
Education, Psychology, Mathematics, Social Science
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