Multiple Comparisons

Multiple Comparisons demonstrates the most important methods of investigating differences between levels of an independent variable within an experimental design. The authors review the analysis of variance and hypothesis testing and describe the dimensions on which multiple comparisons vary. Chapters consider methods by which: the basic questions are determined before data is collected; post hoc comparisons involving pairs of means are made; and post hoc comparisons of combinations of groups are carried out. These methods are then applied to factorial designs with particular attention to testing comparisons of interaction. A final chapter considers issues regarding sample size and violations of assumptions.The use made of a famous experiment by Solomon Asch on group conformity is featured. The authors demonstrate the statistical power of each method against this one experimental question.