Multiple Comparison Procedures, Numéro 89SAGE, 1993 - 96 pages 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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Expressions et termes fréquents
a-control American Statistical Association Analysis of Variance Appendix Table cell means tests Chapter compute confidence intervals control error rate control p(at least critical value dependent variable Dunn Dunnett equal variances ERFW ERPC example EXPERIMENTWISE ERROR RATE F is significant F test fail to reject Fisher-Hayter given gives group means group of comparisons helping behavior data interaction effects interval estimates Journal largest comparison least one Type main effect means MCPs MCPs presented mean difference Miller Data multiple comparison procedures multiple null hypotheses Note null hypothesis number of comparisons number-of-means parameter one-way ANOVA orthogonal orthogonal comparisons population variances possible pairwise comparisons pw comparisons q critical Ralphing range statistic robust Ryan MCP sampling distribution SAS Output Shaffer-Ryan significant differences significantly different SPSS stepwise study technique subset Tamhane Toothaker Tukey method Tukey-Kramer two-way ANOVA Type I error TYPE I EXPERIMENTWISE unequal sample sizes unequal variances versus Y₁