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This analysis compares contrast coding and ANOVA, revealing increased statistical power in behavioral studies with multiple factors, suggesting improved outcomes.
Illustrates the increased statistical power of contrast coding over the conventional ANOVA on behavioral analysis, when multiple-level factors are involved or when certain types of interactive relationships among factors are hypothesized. Effect on Type I error rates; Limitations of ANOVA; Advantages of contrast coding; Empirical examples; Multi-level factors.
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Buckless et al. (1990) studied this question.
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