Analysis of variance (ANOVA) constitutes the main set of statistical methods used by students and researchers to analyse data from experiments. This expertly written textbook adopts a pioneering approach to ANOVA with an emphasis on confidence intervals rather than tests of significance.

Key features of the book include: extensive coverage; strong emphasis upon practical examples; web-based links to sample questions and answers; student-focused throughout, it offers a comprehensive introduction to ANOVA using confidence intervals. The chapters have been organized to fit onto a typical lecture programme and is well-structured and practical, invaluable for undergraduates and postgraduate students taking courses in quantitative methods across the social sciences.

Simple Factorial Designs

In Chapter 2 we considered randomized experiments with a set of J qualitatively different experimental conditions or treatments, each of which can be regarded as a level of a single categorical independent variable. The Depression experiment, for example, includes J = 4 conditions, each of which is a level of a ...

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