Produktdetaljer
Biografisk notat
About our authorsBarbara G. Tabachnick is Professor Emerita of Psychology at California State University, Northridge. She has published over 80 articles and technical reports and participated in over 60 professional presentations, many invited. She currently presents workshops in computer applications in univariate and multivariate data analysis and has consulted in a variety of research areas, including professional ethics in and beyond academia, effects of such factors as age and substances on driving and other performance, educational computer games, effects of noise on annoyance and sleep, and fetal alcohol syndrome. She is the recipient of the 2012 Western Psychological Association Lifetime Achievement Award and a 2015 Western Psychological Association Presidential Citation.
Linda S. Fidell is Professor Emerita of Psychology at California State University, Northridge. She has published several articles and given numerous professional presentations. She taught research design and statistics at CSUN for 32 years and retired in 2001. In 2015 she received a Western Psychological Association Presidential Citation. She now lives in Morro Bay, where she is delighted to contribute to the community.
For advanced undergraduate and graduate courses in Social Statistics.
An in-depth introduction to today’s most commonly used statistical and multivariate techniques
Using Multivariate Statistics, 7th Edition presents complex statistical procedures in a way that is maximally useful and accessible to researchers who may not be statisticians. The authors focus on the benefits and limitations of applying a technique to a data set – when, why, and how to do it. Only a limited knowledge of higher-level mathematics is assumed.
Students using this text will learn to conduct numerous types of multivariate statistical analyses; find the best technique to use; understand limitations to applications; and learn how to use SPSS and SAS syntax and output.
0134790545 / 9780134790541 Using Multivariate Statistics, 7/e
- Introduction
- A Guide to Statistical Techniques: Using the Book
- Review of Univariate and Bivariate Statistics
- Cleaning Up Your Act: Screening Data Prior to Analysis
- Multiple Regression
- Analysis of Covariance
- Multivariate Analysis of Variance and Covariance
- Profile Analysis: The Multivariate Approach to Repeated Measures
- Discriminant Analysis
- Logistic Regression
- Survival/Failure Analysis
- Canonical Correlation
- Principal Components and Factor Analysis
- Structural Equation Modeling by Jodie B. Ullman
- Multilevel Linear Modeling
- Multiway Frequency Analysis
- Time-Series Analysis
- An Overview of the General Linear Model
- The text provides hands-on guidelines for conducting numerous types of multivariate statistical analyses.
- Using a practical approach, the authors focus on the benefits and limitations of applications of a technique to a data set.
- NEW: All output is up to date, showing tables from IBM SPSS version 24 and SAS version 9.4.
- UPDATED: References in all chapters have been updated. For references prior to 2000, only classic citations are included.
- NEW: The text includes references and online facilities for sample size and power analysis.
- NEW: Work on relative importance has been incorporated in multiple regression, canonical correlation, and logistic regression analysis, complete with demonstrations.
- UPDATED: Procedures for multiple imputation of missing data are included and illustrated. This allows users to keep the data set intact, despite missing data points on several variables.
- NEW: The automated time-series example takes advantage of an IBM SPSS expert modeler that replaces previous tea leaf reading aspects of the analysis.
Produktdetaljer
Biografisk notat
About our authorsBarbara G. Tabachnick is Professor Emerita of Psychology at California State University, Northridge. She has published over 80 articles and technical reports and participated in over 60 professional presentations, many invited. She currently presents workshops in computer applications in univariate and multivariate data analysis and has consulted in a variety of research areas, including professional ethics in and beyond academia, effects of such factors as age and substances on driving and other performance, educational computer games, effects of noise on annoyance and sleep, and fetal alcohol syndrome. She is the recipient of the 2012 Western Psychological Association Lifetime Achievement Award and a 2015 Western Psychological Association Presidential Citation.
Linda S. Fidell is Professor Emerita of Psychology at California State University, Northridge. She has published several articles and given numerous professional presentations. She taught research design and statistics at CSUN for 32 years and retired in 2001. In 2015 she received a Western Psychological Association Presidential Citation. She now lives in Morro Bay, where she is delighted to contribute to the community.