Synopses & Reviews
A comprehensive statistics text for graduate students
Explaining Psychological Statistics, Second Edition successfully bridges the gap between statistics and research methods courses by incorporating research methods throughout the text. In a clear and engaging manner, this comprehensive text covers both introductory and advanced topics in statistics, including the concepts (and limitations) of hypothesis testing; linear correlation and regression; the t-test and matched t-test; basic analysis of variance in one- and two-way designs; and repeated measures ANOVA.This new edition also features:
- Multiple regression, the regression approach to one- and two-way ANOVA, and ANCOVA
- Advanced topics, such as the intraclass correlation, the analysis of Latin-square designs, and the analysis of trend components
- Relevant research designs for numerous areas of psychological research
Early Reviews of the Second Edition"I like the presentation of the summaries and exercises at the end of blocks of material rather than just at the end of the chapter . . . students need to start active work earlier onthey arent generally good at things quantitative and need frequent homework and review."DR. JOHN PITTENGER, University of Arkansas, Little Rock On the integration of research methods and statistics: "I have been using several texts at the same time and have not found a text that combines [this] feature. I believe that this text can serve that function."DR. RONAN BERNAS, Eastern Illinois University
Description
Includes bibliographical references (p. 727-731) and index.
About the Author
BARRY H. COHEN, PhD, is the Associate Director of the masters program in psychology at New York University, where he has been teaching statistics for more than fifteen years.
Table of Contents
Preface.
Preface to the Second Edition: For the Instructor.
Preface to the Second Edition: For the Student.
Acknowledgments.
PART One: DESCRIPTIVE STATISTICS.
Chapter 1: INTRODUCTION TO PSYCHOLOGICAL STATISTICS.
Chapter 2: FREQUENCY TABLES, GRAPHS, AND DISTRIBUTIONS.
Chapter 3: MEASURES OF CENTRAL TENDENCY AND VARIABILITY.
Chapter 4: STANDARDIZED SCORES AND THE NORMAL DISTRIBUTION.
PART Two: ONE- AND TWO-SAMPLE HYPOTHESIS TESTS.
Chapter 5: INTRODUCTION TO HYPOTHESIS TESTING: THE ONE-SAMPLE z TEST.
Chapter 6: INTERVAL ESTIMATION AND THE t DISTRIBUTION.
Chapter 7: THE t TEST FOR TWO INDEPENDENT SAMPLE MEANS.
Chapter 8: STATISTICAL POWER AND EFFECT SIZE.
PART Three: HYPOTHESIS TESTS INVOLVING TWO MEASURES ON EACH SUBJECT.
Chapter 9: LINEAR CORRELATION.
Chapter 10: LINEAR REGRESSION.
Chapter 11: THE MATCHED t TEST.
PART Four: ANALYSIS OF VARIANCE WITHOUT REPEATED MEASURES.
Chapter 12: ONE-WAY INDEPENDENTANOVA.
Chapter 13: MULTIPLE COMPARISONS.
Chapter 14: TWO-WAYANOVA.
PART Five: ANALYSIS OF VARIANCE WITH REPEATED MEASURES.
Chapter 15: REPEATED MEASURESANOVA.
Chapter 16: TWO-WAY MIXED DESIGNANOVA.
PART Six: MULTIPLE REGRESSION AND ITS CONNECTION TO ANOVA.
Chapter 17: MULTIPLE REGRESSION.
Chapter 18: THE REGRESSION APPROACH TOANOVA.
PART Seven: NON PARAMETRIC STATISTICS.
Chapter 19: THE BINOMIAL DISTRIBUTION.
Chapter 20: CHI-SQUARE TESTS.
Chapter 21: STATISTICAL TESTS FOR ORDINAL DATA.
Appendix A: STATISTICAL TABLES.
Appendix B: ANSWERS TO SELECTED EXERCISES.
References.
Index.