One-Way ANOVA and Multiple Comparison in Public Health Research: A Case Study of Hemorrhagic Fever Protection

บทคัดย่อ

One-way ANOVA is an inferential statistic for analyzing the mean difference between more than two groups. It isconducted with one dependent variable and one independent variable. The dependent variable is a continuous responsevariable. This statistic can control Type I errors. Three assumptions are made in ANOVA models: observations independent of one another, homogeneity of variance and normality. In those cases having a difference between the means, an additional exploration of the difference among means multiple comparisons test, is needed. There are several procedures for multiple comparisons, each having different control errors. As such, the researcher must choose an appropriate statistic that leads to a precise conclusion.