Following question is based on the following paragraph. Read following paragraph and answer five questions that follow. A researcher carried out regression analysis. She wanted to predict Organization Commitment (OC) using Job Satisfaction (JS), Work Environment (WE), Leadership (L), and Employee Engagement (EE). On a sample of 100 respondents, she measured all the variables using psychological scales. JS and EE correlated 0.80; VIF for both of them is 7. She consulted a colleague who suggested to drop either JS or EE and indicated problem of imperfect measurement of variables. She dropped JS and carried out multiple regression. Overall model has F = 24 (p < .01) and R2 = 0.36.
What is percentage variance explained by IVs in OC ?
36%
The coefficient of determination R2 is the proportion of variance in the criterion (here Organization Commitment) that is explained jointly by the predictors in the model.
The passage reports R2 = 0.36 for the final model with WE, L and EE as predictors.
Converting the proportion to a percentage: 0.36 × 100 = 36%. So the three predictors together account for 36% of the variance in OC, leaving 64% unexplained.
Hence, the answer is 36%.
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