Analysis of Variance- ANOVA
Hello, thank you for giving me this opportunity to respond to your post. I gladly appreciate you taking your time to contribute to the Analysis of Variance’s discussion. I will only add a few points to your post, as your contributions are agreeable to the topic. Analysis of Variance testing is very crucial in analyzing clinical research, especially public health data. Therefore, a clear understanding of the concepts and types of analysis of variance is necessary for finding the study results of a sample. Hence, it is a statistical method that focuses on comparing two or more sample means.
In addition to the one-way analysis of variance, I would like to add that it is the easiest one to use (Sureiman & Mangera,2020). The testing is done in two or more groups. These groups are normally categorically identified, thus making it easier to understand the association between independent and dependent variables in a particular sample. Based on the example provided in the post, the comparison between sprinter and smoking is observable and accurate. Therefore, the one-way approach can be used by researchers easily in articulating their work using several groups in a sample.
In the case of two-way analysis of variance, comparison can only be made between two categories of groups, thus too difficult for researchers to use (Sureiman & Mangera,2020). For instance, checking if gender and educational level affect university students is a bit too complicated and broad study for comparison and decide on a concrete conclusion. This analysis of variance tends to find out if dependent and independent variables have any effect on each other and if both variables also affect the variance in the sample study.
Reference
Sureiman, O., & Mangera, C. M. (2020). Conceptual Framework on Conducting Two-Way Analysis of Variance. Journal of the Practice of Cardiovascular Sciences, 6(3), 207. https://www.j-pcs.org/article.asp?issn=2395-5414;year=2020;volume=6;issue=3;spage=207;epage=215;aulast=Sureiman
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