Health Sciences 3801A/B Lecture Notes - Lecture 4: Repeated Measures Design, Dependent And Independent Variables, Grip Strength

• School: Western University
• Department: Health Sciences
• Course: Health Sciences 3801A/B
• Professor: Christopher Lee

Document Summary

A simple experiment involves collecting 2 sets of scores, each obtained under a different condition. However, research can involve comparison of more than 2 conditions. Therefore, analysis of variance (anova: is a procedure involving calculation of an f ratio, rather than a t ratio. F ratio only will work with more than 2 conditions: advantage of using an f ratio is that it can be calculated when there are 2+ conditions. Nothing else gained by using f ration: f ratio represents the degree to which variance explained by the independent variable is greater than the variance not explained. Ratio of explained to not explained: in analysis of variance, these variances are called mean squares . T ratio is mean difference over standard error. For t ratio numerator stays the same = mean difference, but standard error for different design is different.