TY - CHAP M1 - Book, Section TI - Multiple Comparison Tests A1 - Portney, Leslie G. PY - 2020 T2 - Foundations of Clinical Research: Applications to Evidence-Based Practice, 4e 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. SN - PB - F. A. Davis Company CY - New York, NY Y2 - 2024/03/29 UR - fadavispt.mhmedical.com/content.aspx?aid=1187149784 ER -