In this Section: 1. Brief Table of Contents 2. Full Table of Contents   1. BRIEF TABLE OF CONTENTS   Chapter 1 Introduction Chapter 2 A Guide to Statistical Techniques: Using the Book Chapter 3 Review of Univariate and Bivariate Statistics Chapter 4 Cleaning Up Your Act: Screening Data Prior to Analysis Chapter 5 Multiple Regression Chapter 6 Analysis of Covariance Chapter 7 Multivariate Analysis of Variance and Covariance Chapter 8 Profile Analysis: The Multivariate Approach to Repeated Measures Chapter 9 Discriminant Analysis Chapter 10  Logistic Regression Chapter 11  Survival/Failure Analysis Chapter 12  Canonical Correlation Chapter 13  Principal Components and Factor Analysis Chapter 14  Structural Equation Modeling Chapter 15  Multilevel Linear Modeling Chapter 16  Multiway Frequency Analysis 2. FULL TABLE OF CONTENTS   Chapter 1: Introduction Multivariate Statistics: Why? Some Useful Definitions Linear Combinations of Variables Number and Nature of Variables to Include Statistical Power Data Appropriate for Multivariate Statistics Organization of the Book   Chapter 2: A Guide to Statistical Techniques: Using the Book Research Questions and Associated Techniques Some Further Comparisons A Decision Tree Technique Chapters Preliminary Check of the Data   Chapter 3: Review of Univariate and Bivariate Statistics Hypothesis Testing Analysis of Variance Parameter Estimation Effect Size Bivariate Statistics: Correlation and Regression. Chi-Square Analysis   Chapter 4: Cleaning Up Your Act: Screening Data Prior to Analysis Important Issues in Data Screening Complete Examples of Data Screening   Chapter 5: Multiple Regression General Purpose and Description Kinds of Research Questions Limitations to Regression Analyses Fundamental Equations for Multiple Regression Major Types of Multiple Regression Some Important Issues. Complete Examples of Regression Analysis Comparison of Programs   Chapter 6: Analysis of Covariance General Purpose and Description Kinds of Research Questions Limitations to Analysis of Covariance Fundamental Equations for Analysis of Covariance Some Important Issues Complete Example of Analysis of Covariance Comparison of Programs   Chapter 7: Multivariate Analysis of Variance and Covariance General Purpose and Description Kinds of Research Questions Limitations to Multivariate Analysis of Variance and Covariance Fundamental Equations for Multivariate Analysis of Variance and Covariance Some Important Issues Complete Examples of Multivariate Analysis of Variance and Covariance Comparison of Programs   Chapter 8: Profile Analysis: The Multivariate Approach to Repeated Measures General Purpose and Description Kinds of Research Questions Limitations to Profile Analysis Fundamental Equations for Profile Analysis Some Important Issues Complete Examples of Profile Analysis Comparison of Programs   Chapter 9: Discriminant Analysis General Purpose and Description Kinds of Research Questions Limitations to Discriminant Analysis Fundamental Equations for Discriminant Analysis Types of Discriminant Analysis Some Important Issues Comparison of Programs   Chapter 10: Logistic Regres

Provides hands on guidelines for conducting numerous types of multivariate statistical analysesMaintains a practical approach, still focusing on the benefits and limitations of applications of a technique to a data set — when, why, and how to do itPresents a comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics.Datasets available at www.pearsonhighered.com/tabachnickMySearchLab with eText can be packaged with this text. MySearchLab provides engaging experiences that personalize learning, and comes from a trusted partner with educational expertise and a deep commitment to helping students and instructors achieve their goals.eText – Just like the printed text, you can highlight and add notes to the eText or download it to your iPad.Assessment – Chapter quizzes and flashcards offer immediate feedback and report directly to your gradebook.Writing and Research – A wide range of writing, grammar and research tools and access to a variety of academic journals, census data, Associated Press newsfeeds, and discipline-specific readings help you hone your writing and research skills.

Six New Technique Chapters Logistics RegressionSurvival/ failure analysisStructural equation modelingMultilevel linear modelingMultiway frequency analysisTime series analysisExamples from the literature have been updated in all technique chapters.Latest SPSS (Version 19) and SAS (Version 9.2) syntax and output.Added commonality analysis to Multiple Regression chapter.Updated sample size considerations in Multiple Regression chapter.Updated sample size considerations in Factor analysis chapter.Complete example of Factor Analysis redone.Expanded discussion of classification issues In Logistic Regression, including receiver operating characteristics.