Test Bank
How To Use SPSS Statistics, 10th Ed.
Chapter 5: Prediction and Association
1. Which of the following is NOT another way to refer to the Pearson Correlation
Coefficient?
a. Pearson product-moment correlation coefficient
2. Which of the following is NOT an assumption for calculating a Pearson r?
a. Both variables should be measured on interval or ratio scales.
3. If your data don’t meet the assumptions for a Pearson r correlation coefficient, an
appropriate action you can take is:
a. Run the analysis anyway.
b. Calculate z-scores for both variables.
4. Bivariate correlations refer to:
a. Only Pearson’s r.
5. What is a correlation matrix?
d. It is an additional test to run after you find the correlation.
e. It is a test to run if you don’t meet the assumptions for a Pearson r.
6. The correlation of a variable with itself will always be:
a. 0.5
7. A correlation coefficient of -0.8 would be considered what kind of correlation?
a. No correlation
b. A weak correlation
8. True/False: All researchers prefer positive correlations over negative correlations.
9. Which of the following is NOT true?
a. Correlation coefficients range from -1 to +1.
e. Correlation coefficients with an absolute value of +0.7 are considered strong.
10. If the correlations are identified as significant (with asterisks), that means:
a. You have a strong and reliable relationship between the two variables.
b. You have a strong and reliable relationship between the three variables.
11. When you have a significance level < .001, SPSS reports:
e. The exact level of significance.
12. Which of the following is/are TRUE? (select all that apply)
a. There are no degrees of freedom for correlation because SPSS does not report it.
13. For Pearson correlation coefficients, you should report all of the following EXCEPT:
a. Direction of the association (positive or negative)
b. Strength of the association (strong, weak, etc.)
14. Degrees of freedom for the Spearman Correlation Coefficient is:
a. N
b. N-1
15. The type of variable NOT allowed when calculating a Spearman correlation coefficient is:
d. Interval
e. Rank
16. In simple linear regression,
a. The correlation coefficient changes if you switch the independent and dependent
variables.