Explaining Psychological Statistics Book

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 on-they aren't 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 Read More