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THERE ARE A NUMBER OF OTHER VARIABLES IN THE DATA FILE

THERE ARE A NUMBER OF OTHER VARIABLES IN THE DATA FILE

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There are a number of other variables in the data file, such as income, sex, age, and marital status. Create a hypothesis about an expected correlation. Here is an example: You might expect financially dependent people to have lower incomes. So, you would predict a negative correlation between DEPENDENCE and participant income (INC1). If you use SPSS to calculate the correlation between Dependence and income, (ANALYZE>CORRELATE>BIVARIATE ) you get r = - .192, p < .001. This confirms the hypothesis and gives evidence for the validity of the Dependence scale.
Think of another relationship that might support the validity of one of the scales and then test your hypothesis using the data. You will need to submit:
Your validity hypothesis and a brief explanation about why you expect the hypothesis to be supported
The results of your statistical test of your validity hypothesis
Your conclusion about validity, given the results of your statistical test
Please complete your Knowledge Assessment by Day 7. Click on the Quiz link below to continue


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