Compare observations of an outcome across time or within-subjects
Within-subjects statistics, by far, possess the most statistical power in that significant treatment effects are easy to detect. This is primarily because each participant serves as their own control in within-subjects designs. Here are the questions to be answered when choosing the correct statistical test:
1. How many observations of the outcome are going to collected in the within-subjects analysis?
2. What is the scale of measurement for the outcome in the within-subjects analysis?
When asking research questions and answering them using within-subjects statistics, researchers are asking how do participants change across time or "within-subjects" for each observation of outcome?
How many observations of the outcome are being compared in the within-subjects analysis?
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