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.
[Page 123]In a fully randomized experimental design with a single dependent variable, each subject is measured only once. All of the variability in the experiment is derived from differences between different subjects, and the design is therefore referred to as a between-subjects design. In a single-factor repeated ...