Kinesiology 2032A/B Study Guide - Final Guide: Regression Analysis, Cardiology
10 Apr 2018
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It provides an eloquent way to test for mediation. Treatment mediators in rcts identify possible mechanism through which a treatment might achieve its effects. Use a linear model t (treatment); m(mediator); txm to predict post-treatment outcome. Predicting post treatment (t2) peak vo2: regression analysis looking at linear relationship between variables, r2 = coefficient of determination predicts variance in another variable, variance distribution of scores (s2) Step 1: condition r= 0. 585, r2 change = 0. 342. : self efficacy t2 r= 0. 741 r2 = 0. 207. Step 3 product term: condition x self efficacy t2 r=0. 818 r2 = 0. 121. Because we are explaining additional variance at step 2 and step 3, self-efficacy must be a potent mediator. At step 2 or step 3 show no additional variance then there would be no evidence that self-efficacy is not a potent mediator explained by a different variable. Here is a modelling intervention can improve heart failure of peak vo2 score explained by increase in self-efficacy.
