ANOVA_robust: A SAS Macro for Parametric Tests of Mean Differences in One-Factor ANOVA Models

Dublin Core

Title

ANOVA_robust: A SAS Macro for Parametric Tests of Mean Differences in One-Factor ANOVA Models

Subject

analysis of variance, homogeneity of variance assumption, simulation study, homoscedasticity, heteroscedasticity, SAS macro.

Description

Testing the equality of several independent group means is a common statistical practice in the social sciences. The traditional analysis of variance (ANOVA) is one of the most
popular methods. However, the ANOVA F test is sensitive to violations of the homogeneity of variance assumption. Many alternative tests have been developed in response
to this problem of the F test. These tests include some modifications of the ANOVA F
test and others based on the structured means modeling technique. This paper provides
a SAS macro for testing the equality of group means using thirteen methods including
the regular ANOVA F test. In addition, this paper summarizes the results of a simulation study that compares the performance of these tests in terms of their Type I error
rate under different conditions, especially under violations of the homogeneity of variance
assumption

Creator

Eun Sook Kim

Source

https://www.jstatsoft.org/article/view/v095c02

Publisher

University of South Florida

Date

October 2020

Contributor

Fajar bagus W

Format

PDF

Language

Inggris

Type

Text

Files

Citation

Eun Sook Kim, “ANOVA_robust: A SAS Macro for Parametric Tests of Mean Differences in One-Factor ANOVA Models,” Repository Horizon University Indonesia, accessed April 10, 2025, https://repository.horizon.ac.id/items/show/8166.