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Quantitative Research Methods: Selecting and Interpreting Inferential Statistics Discussion Board #8 Reply Kaleah L. Singleton May 12, 2023 Author Note Kaleah L. Singleton I have no known conflict of interest to disclose. Correspondence concerning this article should be addressed to Kaleah L. Singleton Email: klblden@liberty.edu

Discussion Thread: Comparing Groups Summary Vinh I enjoyed your version of answers to our discussion this week. ANOVA, or analysis of variance, is a statistical method used to determine if there is a significant difference between the means of three or more groups. It compares the variance within each group to the variance between groups, and if the between-group variance is significantly larger than the within-group variance, it suggests that there is a difference in means (Morgan, Leech, Gloeckner, & Barrett, 2020) . Overall, ANOVA tests provide researchers with a powerful tool for analyzing data and determining if there are significant differences between groups. By comparing variances within and between groups, researchers can gain valuable insights into the factors that may influence outcomes (Morgan, Leech, Gloeckner, & Barrett, 2020) . Agree/Disagree I agree with your answers to our discussion. One question that asked why the word “effect” was quoted, your view was the study was not randomized, therefore the table's title may be misinterpreted. I agree that the ANOVA table, called Tests of Between-Subjects Effects, is the key table. Note that the word "effect" in the title of the table can be misleading because the study was not a randomized experiment. Therefore, the researcher cannot state in the report that the differences in the dependent variable were caused by or were the effect of the independent variable (Morgan, Leech, Gloeckner, & Barrett, 2020). References Morgan, G., Leech, N., Gloeckner, G., Barrett, K. (2020). IBM SPSS for Introductory Statistics

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