Explaining Psychological StatisticsA 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:
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 |
From inside the book
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... difference scores , and we can therefore relabel it as D. For the matched t test , the pop- ulation mean predicted by the null hypothesis , μo , is the expected mean of the difference scores , so it can be called up . Although it is ...
... difference scores , D , which equals Σ D / n . It is important when finding the sum of the difference scores to keep track of which differences are positive and which are negative ( you will probably want to add the positive differences ...
... difference scores . If you are entering the difference scores into a calculator with a standard deviation function , don't forget to change the sign to minus before entering a negative difference score . C. Insert the mean and SD into ...