1. Tim and his graduate students measured jumping knee valgusmoments from 1000 female soccer players and monitored their incidence of knee injuries in a span of two years while playing competitive soccer. A correlational analysis of the valgus and injury data would be an example of what kind of validity evidence?

a. concurrent validity

b. equivalence

c. content validity

d. predictive

2. An epidemiologist tests whether meeting national physical activity guidelines relates to health outcomes. What is true about the predictor and outcome variables in this study?

a. Both the predictor and outcome are continuous.

b. The predictor is continuous, and the outcome is categorical.

c. Both the predictor and outcome are categorical.

d. The predictor is categorical, and the outcome is continuous.

3. The following correlation matrix shows the Pearson correlations between selected baseball offensive statistics from the MLB season. An offensive-minded team manager is interested in Runs Per Game and uses this as his gold standard measure to which other measures are compared. Which of the following baseball statistics exhibit the highest concurrent validity?

Correlations Runs Batted Hits Home Runs RunsPerGam In On base % Hits Batting Avg e Pearson Correlation 1 031 682 704 978 Sig. (2-tailed) .701 .871 000 000 .000 N 000 30 30 30 30 Home Runs 30 Pearson Correlation 30 031 1 .551 .182 Sig. (2-tailed) 010 508 .871 .002 336 .959 N 004 30 30 30 30 Runs Batted In 30 Pearson Correlation 30 .682 .551 1 .791 .675 Sig. (2-tailed) .994 .000 .002 000 .000 N .000 30 30 30 30 On base %% 30 30 Pearson Correlation .704 .182 .791 1 .740 Sig. (2-tailed) .810 .000 336 .000 .000 N 000 30 30 30 30 30 Batting Avg 30 Pearson Correlation .978 010 675 .740 1 Sig. (2-tailed) .693 .000 959 .000 .000 N .000 30 30 30 30 30 RunsPerGame Pearson Correlation 30 .701 508 994 810 .693 Sig. (2-tailed) 1 .000 004 .000 .000 .000 N 30 30 30 30 30 30 ". Correlation is significant at the 0.01 level (2-tailed)