If you conduct research with more than two groups and want to find out if they are significantly different when compared two at a time, then you need Multiple Comparison Procedures. Using examples to illustrate major concepts, this concise volume is your guide to multiple comparisons. Toothaker thoroughly explains such essential issues as planned vs. post-hoc comparisons, stepwise vs. simultaneous test procedures, types of error rate, unequal sample sizes and variances, and interaction tests vs. cell mean tests.
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Introduction
Multiple Comparison Procedures (MCPs)
Comparison of MCPs
Violations of Assumptions and Robustness
Multiple Comparisons for the Two-Way Anova
Factorial or Randomized Blocks
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