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.

Complex Factorial Designs

A factorial analysis of data from a J × K design can be based on any of the models (cell means, main effects, saturated two-factor ANOVA, or simple effects) discussed in Chapter 4. Multiplicity issues, similar to those discussed in the context of single-factor designs in Chapter 2, arise when factors have multiple levels. If J > 2 and K > 2 (that ...

  • Loading...
locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles