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| Personality Measures | 3 |
| Predictor Variables | 3 |
| Test Reliability | 3 |
| Higher Education | 2 |
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| Deduction | 1 |
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| Induction | 1 |
| Item Analysis | 1 |
| Multiple Regression Analysis | 1 |
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| Applied Psychological… | 3 |
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| California Psychological… | 2 |
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Peer reviewedCampbell, John B.; Chun, Ki-Taek – Applied Psychological Measurement, 1977
A multiple regression approach is used to assess the feasibility of reciprocal prediction between the Sixteen Personality Factor Questionnaire scales and the California Psychological Inventory scales (i.e., the prediction of each 16PF scale from the CPI scales and of each CPI scale from the 16PF scales). (RC)
Descriptors: Correlation, Multiple Regression Analysis, Personality Measures, Prediction
Peer reviewedGoldberg, Lewis R. – Applied Psychological Measurement, 1978
Three personality measures were administered twice each with an interval of four weeks between administrations, and the response consistency of these tests was analyzed. The evidence is equivocal. The confounding of consistency effects with other sources of variance remains a problem. (Author/CTM)
Descriptors: Higher Education, Personality Measures, Predictor Variables, Reliability
Peer reviewedBurisch, Matthias – Applied Psychological Measurement, 1978
Sets of inventory scales were constructed from a common item pool, using variants of what are here called the Inductive, Deductive, and External strategies. Peer ratings for 21 traits served as criteria. Very little variation in validity was attributable to construction strategies. (Author/CTM)
Descriptors: Deduction, Foreign Countries, Higher Education, Induction
