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Numerous and frequently-updated resource results are available from this WorldCat. Please choose whether or not you want other users to be able to see on your profile that this library is a favorite of yours. Finding libraries that hold this item 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. Yet, it is written in an accessible way that students will find useful and comprehensible. 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. You may have already requested this item.
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Your request to send this item has been completed. APA 6th ed. Note: Citations are based on reference standards. However, formatting rules can vary widely between applications and fields of interest or study. The specific requirements or preferences of your reviewing publisher, classroom teacher, institution or organization should be applied.
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Would you also like to submit a review for this item? You already recently rated this item. Your rating has been recorded. Write a review Rate this item: 1 2 3 4 5. Preview this item Preview this item. Applied multivariate statistics for the social sciences.
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.
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. Read more Allow this favorite library to be seen by others Keep this favorite library private.
Find a copy in the library Finding libraries that hold this item 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. Reviews Editorial reviews. User-contributed reviews Add a review and share your thoughts with other readers. Be the first. Add a review and share your thoughts with other readers.
Similar Items Related Subjects: 2 Multivariate analysis. Social sciences -- Statistical methods. Linked Data More info about Linked Data. WorldCat is the world's largest library catalog, helping you find library materials online. Remember me on this computer. Cancel Forgot your password?
Keenan A Pituch ; James Stevens. Print book : English : Sixth edition View all editions and formats. Multivariate analysis. Similar Items. Previous edition: published as by James P. London: Routledge Academic, Introduction 2. Matrix Algebra 3.
Multiple Regression for Prediction 4. Two-Group Multivariate Analysis of Variance 5. Analysis of Covariance 9. Exploratory Factor Analysis Discriminant Analysis Binary Logistic Regression Repeated-Measures Analysis Hierarchical Linear Modeling Multivariate Multilevel Modeling Canonical Correlation Matrix Algebra3. Multiple Regression for Prediction4. Two-Group Multivariate Analysis of Variance5.
Analysis of Covariance9. Exploratory Factor Analysis Discriminant Analysis Binary Logistic Regression Repeated-Measures Analysis Hierarchical Linear Modeling Multivariate Multilevel Modeling Canonical Correlation Home About Help Search.