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DescriptionUsing Multivariate Statistics presents complex statistical procedures in a way that is maximally useful and accessible to researchers who may not be statisticians. The authors’ practical approach focuses 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.Table of ContentsIntroductionA Guide to Statistical Techniques: Using the BookReview of Univariate and Bivariate StatisticsCleaning Up Your Act: Screening Data Prior to AnalysisMultiple RegressionAnalysis of CovarianceMultivariate Analysis of Variance and CovarianceProfile Analysis: The Multivariate Approach to Repeated MeasuresDiscriminant AnalysisLogistic RegressionSurvival/Failure AnalysisCanonical CorrelationPrincipal Components and Factor AnalysisStructural Equation Modeling by Jodie B. UllmanMultilevel Linear ModelingMultiway Frequency AnalysisTime-­Series AnalysisAn Overview of the General Linear ModelAuthor BiographyBarbara Tabachnick is Professor Emerita of Psychology at California State University, Northridge, and co-author with Linda Fidell of Using Multivariate Statistics and Experimental Designs Using ANOVA. She has published over 70 articles and technical reports and participated in over 50 professional presentations, many invited. She currently presents workshops in computer applications in univariate and multivariate data analysis and consults in a variety of research areas, including professional ethics in and beyond academia, effects of such factors as age and substances on driving and 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.