Question 1
See SPSS Analysis 1, Pearson Correlation. Which correlation coefficient is the result of a Pearson Point-biserial correlation analysis?
[Hint: Use your data dictionary]
A. adhd and age
B. anxiety and age
C. cdrs and age
D. rads and age
Question 2
See SPSS Analysis 1. Compare the Pearson and Spearman correlation coefficients and p-values for the RADS and age. Which of the following is a TRUE statement?
A. Spearman transforms the raw data to ranks, which can decrease the impact of any outliers present.
B. Spearman transforms the raw data to z-scores, which often normalizes the data distribution.
C. Spearman does not transform the raw data, it compares the difference in the median scores of the two variables instead.
D. Both A and B are
Question 3
Which of the following statements is FALSE?
A. Spearman correlation is a non-parametric alternative to the Pearson correlation when the assumption of linearity of the bivariate relationship is not met.
B. Spearman correlation is a non-parametric alternative to Pearson correlation when the assumptions of normality and/or homogeneity of variance of the bivariate relationship are severely violated.
C. Spearman correlation is a non-parametric alternative to Pearson correlation when the sample size is small (n < 30).
D. Spearman correlation is a non-parametric alternative to Pearson correlation when there are outliers that severely skew the data distribution of one or both variables.