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Explain why the variables ‘household income’ and ‘abortion rate’ are potential confounding variables when examining the correlation: Applied Quantitative Methods Assignment, MMU, UK
| University | Manchester Metropolitan University (MMU) |
| Subject | Applied Quantitative Methods |
Question 2.
The second question refers to the study looking at the correlation between religiosity and the teenage birth rate which was used in a seminar exercise. See the separate sheet summarising the research.
- Explain why the variables ‘household income’ and ‘abortion rate’ are potential confounding variables when examining the correlation between religiosity and teen birth rate.
- Explain briefly what is meant by ‘controlling for’ income and abortion rate via partial correlation and the purpose of this procedure.
- Explain what the results of the partial correlations reveal about the roles of income and abortion rate as potential confounding variables by commenting on the correlation coefficients reported. If the correlation between religiosity and birth rate was the result of one of these confounds, what would you expect to see?
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