Abstract 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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Frank A. Buckless
North Carolina State University
Sue Pickard Ravenscroft
The Accounting Review
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Buckless et al. (Mon,) studied this question.
synapsesocial.com/papers/69ba426d4e9516ffd37a2b26 — DOI: https://doi.org/10.2308/tar-9603274143