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Beauducel, Andre – Applied Psychological Measurement, 2013
The problem of factor score indeterminacy implies that the factor and the error scores cannot be completely disentangled in the factor model. It is therefore proposed to compute Harman's factor score predictor that contains an additive combination of factor and error variance. This additive combination is discussed in the framework of classical…
Descriptors: Factor Analysis, Predictor Variables, Reliability, Error of Measurement

Campbell, 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

Goldberg, 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

Burisch, 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

Keller, Robert T.; Holland, Winford E. – Applied Psychological Measurement, 1979
A cross-validation study of the Kirton Adaption-Innovation Inventory (KAI) was conducted with 256 professional employees from three applied research and development organizations. The KAI correlated well with both direct and indirect measures of innovativeness in all three organizations. (Author/MH)
Descriptors: Adjustment (to Environment), Individual Characteristics, Innovation, Institutional Characteristics