• Summary
  • Contents
  • Subject index

This textbook offers an accessible and comprehensive introduction to statistics for all undergraduate psychology students, but particularly those in their second and third years who have already covered an initial introductory course. It covers all of the key areas in quantitative methods including sampling, significance tests, regression, and multivariate techniques and incorporates a range of exercises and problems at the end of each chapter for the student to follow.

The free CD-ROM with tutorial modules complements and enhances the exercises in the text, offers scope for distance learning, and makes both the traditional and non-traditional approaches much more accessible.

Key points of the book are: an emphasis on measurement, data summaries and graphs; a clear explanation of statistical inference using sampling distributions and confidence intervals, making significance tests much easier to understand; and help for students to understand and judge the use of particular tests in the research context beyond simple recipe following.

Quantitative Predictors: Regression and Correlation
Quantitative predictors: Regression and correlation
Predicting a Quantitative Variable with a Quantitative Predictor

Toward the end of Chapter 7, we considered ANOVA from the standpoint of a prediction model. The variable being predicted was always a quantitative variable (such as scores on the Hanzi test), and the predictor was a categorical variable, such as the experimental condition to which the participant had been assigned. While ANOVA is a reasonable technique for assessing how well a ...

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