State the primary statistical challenge that arises when examining the relationships of both income and health to happiness at the same time, and explain how a researcher uses multiple regression to address this challenge.
Question: State the primary statistical challenge that arises when examining the relationships of both income and health to happiness at the same time, and explain how a researcher uses multiple regression to address this challenge.
Sample answer: When studying how income and health relate to happiness, the researcher faces a confound because income and health are correlated with each other. To address this, the researcher can conduct a multiple regression analysis that includes both income and health as predictor variables. This allows the researcher to statistically control for one predictor while examining the relationship of the other to happiness.
Key points:
- Income and health are correlated, which presents a confound.
- Multiple regression analysis includes both variables as predictors.
- It statistically controls for one predictor variable while examining the other.
- It determines if the part of income unrelated to health predicts happiness.
- It determines if the part of health unrelated to income predicts happiness.
Rubric: The response must state that the confound arises because income and health are correlated. It must also explain that multiple regression addresses this by including both as predictor variables to statistically control for one while examining the other.
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Research Methods in Psychology - 4th American Edition @ KPU
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