A. The Pilot Personality. Test scores for the Eysenck Personality Inventory and

Question

A. The Pilot Personality. Test scores for the Eysenck Personality Inventory and Cattell’s 16 Personality Factor Questionnaire (16PF) were obtained for male army applicants for pilot training. Forms A and B were used for each test and the correlations between forms for the same test ranged from .39 to .85. Some of the men entered flight school several years after taking the tests. The correlations of the subscales on the two tests with training outcome (pass or fail) averaged about .20.

B. Computer Aptitude and Computer Anxiety. Researchers gave 162 students enrolled in computer courses a test that measured computer anxiety and another that measured computer aptitude. Both were given at the beginning of the course. Student performance in the course was measured by the grades they earned in the course. Computer aptitude was correlated with course grade at .41 (p <. 01) for one course and .13 (p < ns) for the other. Correlations of computer anxiety and course grade were .01 and .16 (p = ns).

For each of these studies, identify the following:
- Predictor(s)
- Criteria
- Type of evidence (concurrent/predictive)
- Validity coefficient and its strength

Explanation / Answer

A.

Predictor(s) : Training Outcome.

Criteria : male army applicants for pilot training.

Type of evidence (concurrent/predictive) : Predictive i.e. Fail or Pass

Validity coefficient and its strength :

The correlations of the subscales on the two tests with training outcome (pass or fail) averaged about 0.20.

Strength = r2 = (0.20)*(0.20) = 0.04*100= 4 %

B.

Predictor(s) : Computer Aptitude and Computer Anxiety.

Criteria : 162 students enrolled in computer courses.

Type of evidence (concurrent/predictive) : Predictive i.e. Grades

Validity coefficient and its strength :

Computer aptitude was correlated with course grade at 0.41 (p <0. 01) for one course

Strength = r2 = (0.41)*(0.41) = 0.1681*100 = 16.81%

Computer aptitude was correlated with course grade at 0.13 (p <ns) for another course

Strength = r2 = (0.13)*(0.13) = 0.0169 *100= 1.69%

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