The third edition of PDQ Statistics provides an overview of all major statistical methods, giving the reader a good understanding of statistics and how they are used in research articles. It covers the major categories – variable and descriptive statistics, parametric statistics, non-parametric statistics, and multivariate statistics. The explanations are clear, succinct, and loaded with practical examples.
Table of Content
Contents Preface Introduction
Part One Variables and Descriptive Statistics Chapter 1. Names and Numbers: Types of Variables Chapter 2. Describing Data
Part Two Parametric Statistics Chapter 3. Statistical Inference Chapter 4. Comparison of Means of Two Samples: The
t Test Chapter 5. Comparison among Many Means: Analysis of Variance Chapter 6. Relationship between Interval and Ratio Variables: Linear and Multiple Regression Chapter 7. Analysis of Covariance Chapter 8. Variations on Linear Regression: Logistic Regression, General Linear Model, and Hierarchical Linear Models Chapter 9. Time Series Analysis
Part Three Nonparametric Statistics Chapter 10. Nonparametric Tests of Significance Chapter 11. Nonparametric Measures of Association Chapter 12. Advanced Nonparametric Methods
Part Four Multivariate Statistics Chapter 13. Introduction to Multivariate Statistics Chapter 14. Multivariate Analysis of Variance Chapter 15. Discriminant Function Analysis Chapter 16. Exploratory Factor Analysis Chapter 17. Path Analysis and Structural Equation Modeling Chapter 18. Cluster Analysis Canonical Correlation Reprise Research Designs Index Unabashed Glossary
About the author
David L. Streiner, Ph D, is Professor of Psychiatry at the University of Toronto, Toronto, Ontario, Canada.
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