For this Knowledge Assessment, you calculate the concurrent validity coefficient between a
predictor scale and criterion measure in the dataset provided. First, you will be guided
through the process of how to create new variable scales. Then, you calculate the validity
measure on one of the scales.
The MoneyData.sav dataset that you have been provided contains three scales that measure
financial attitudes
Calculate a Validity Measure for One of the Scales
Validity Hypothesis
It is expected that men are better risk takers than women, so a negative correlation is
expected between RISKTAKING and Participant’s gender (gdr1)
Men tend to be willing to invest their money in other income generating ventures while
women are often satisfied with what they earn. Women also tend to spend most of the money
their earn on beauty and beauty products while men are often not very mindful about their
appearance.
Results of the Validity Test
The results presented in the table below show that there is a strong negative correlation
between risktaking and participant’s gender (Pearson Correlation = -0.279) which is
statistically significant (p<.01).