RT Book, Section
A1 Portney, Leslie G.
SR Print(0)
ID 1186214327
T1 Multiple Comparison Tests
T2 Foundations of Clinical Research: Applications to Evidence-Based Practice, 4e
YR 2020
FD 2020
PB F. A. Davis Company
PP New York, NY
SN 9780803661134
LK fadavispt.mhmedical.com/content.aspx?aid=1186214327
RD 2021/12/06
AB When an analysis of variance (ANOVA) results in a significant F ratio, the researcher is justified in rejecting the null hypothesis and concluding that not all means are equal. However, this outcome tells us nothing about which means are significantly different from which other means. The purpose of this chapter is to describe the most commonly used multiple comparison tests for a variety of designs. Several procedures are available, given names for the individuals who developed them. Each test involves contrasts of pairs of means which are tested against a critical value to determine if the difference is large enough to be significant. These tests can be run with one-way or multidimensional designs, with independent or repeated measures. The use of multiple comparisons will be illustrated using examples introduced in Chapter 25.