To add a greater detail to the variables in this set, Exam is the score on a SPSS exam (as a percent), Computer is a score on a highly reliable and valid Computer Literacy Inventory, Lecture is the percent of Lecture Attendance, Numeracy is a score on a highly reliable and valid Numeracy Profile, and University is simply two universities. Using SPSS (Analyze > Correlate), conduct the following correlation calculations (conduct all analyses as a two tail test):
- A Pearson's correlation between Computer (Literacy) and Exam (% on SPSS test).
- A Partial correlation on the same two variables with Lecture (Attendance) controlled.
- A Point Bi-serial correlation between Exam (% SPSS test) and University.
- Re-calculate the correlation between Computer (Literacy) and Exam (% on SPSS test) as a Spearman's rho and a Kendell's tau.
- Using SPSS, conduct the same correlation calculations as one tail tests.
Using scholarly writing and proper APA format, please complete, and then submit the following:
1. The statistical results for each computed correlation above (both two tail and one tail tests).
2. Identify whether each computed correlation was significant or non-significant (both two tail and one tail tests).
3. Briefly interpret the results for each computed correlation above (both two tail and one tail tests).
4. Explain your overall observations about the correlations and the significance levels when you conducted one tail vs. two tail tests.
5. Compare the correlations and significance levels between Computer (Literacy) and Exam (% on SPSS test), when calculated as a Pearson's, Spearman's, or Kendell's.
6. Include an appendix containing all SPSS output (copied and pasted) for the items above.