Analyses with SAS and IBM's SPSS, Sixth Edition
This study book by Keenan A. Pituch offers an in-depth and broad introduction to multivariate statistics in the social sciences. It focuses on the practical application and interpretation of statistical results using SAS and IBM SPSS, without getting bogged down in theoretical proofs.
Description
The sixth edition of Applied Multivariate Statistics for the Social Sciences provides advanced students with a clear understanding of multivariate statistical methods through examples from the social sciences. This edition retains its strong focus on the breadth and depth of the topics covered and includes a new chapter structure, including logistic regression and multivariate multilevel models. In addition, it addresses practical aspects such as data checking, assumptions, and reporting of results. The syntax examples have also been updated for SPSS 21 and SAS 9.3. This book is essential for students who want to master complex data analysis in the social sciences.
Features
- Extensive coverage of multivariate statistics with an emphasis on practical applicability
- New chapters on logistic regression and multivariate multilevel models
- Revised chapters on factor analysis, hierarchical linear modeling, and structural equation models
- Treatment of missing data and statistical power
- Updated syntax and less use of dialog boxes for ease of use
- Online supporting materials with datasets and instructor resources
Product specifications
- Author: Keenan A. Pituch (The University of Texas at Austin, USA)
- Publisher: Taylor & Francis Ltd
- Imprint: Routledge
- Publication date: 2015-11-23
- Number of pages: 794
- ISBN: 9780415836661
- Subject: Social research and statistics
- BISAC: SOCIAL SCIENCE / Research
About the author
Keenan Pituch is an Associate Professor in the Quantitative Methods Area of the Department of Educational Psychology at the University of Texas at Austin.
James P. Stevens is Professor Emeritus at the University of Cincinnati.