Exercise:

Setup: You are interested in selecting applicants for graduate study, and your department has decided to use grade point average (GPA) in graduate school as the criterion. You have 4 predictors (higher values indicate better performance):

• GREQ (quant)
• GREV (verbal)
• MAT (Miller analogies)
• AR (average ratings by other professors on a 5-pt scale, 5 being very promising)

Part A (Correlation):

Data have been provided to you in SPSS. Run bivariate Pearson correlations between the GPA and the variables noted above. Briefly interpret your findings.

Product: Provide a brief summary of project intent (generally speaking, that would be the associations between all the variables and GPA), and then interpret the bivariate correlations as well as effect sizes. What do these findings tell you about GPA and its relationship to the other variables? Focus only on GPA with the other variables, not within variable correlations such as GREQ with GREV. Provide a Table of correlations, including mean values, standard deviations, analysis N, the Pearson correlations, and significance levels (2-tailed).

NOTE – I will send in a separate email an attachment with an example of WHAT this big correlation Table will resemble.

Price: $13.16

Solution: The downloadable solution consists of 6 pages, 716 words and 6 charts.
Deliverable: Word Document