NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Computation of Effect Size for Moderating Effects of Categorical Variables in Multiple Regression
Peer reviewed Peer reviewed
Direct linkDirect link
Aguinis, Herman; Pierce, Charles A. – Applied Psychological Measurement, 2006
The computation and reporting of effect size estimates is becoming the norm in many journals in psychology and related disciplines. Despite the increased importance of effect sizes, researchers may not report them or may report inaccurate values because of a lack of appropriate computational tools. For instance, Pierce, Block, and Aguinis (2004)…
Descriptors: Effect Size, Multiple Regression Analysis, Predictor Variables, Error of Measurement
Inter-Inventory Predictability and Content Overlap of the 16PF and the CPI
Peer reviewed Peer reviewed
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
Multiple Regression and Validity Estimation in One Sample.
Peer reviewed Peer reviewed
Claudy, John G. – Applied Psychological Measurement, 1979
Equations for estimating the value of the multiple correlation coefficient in the population underlying a sample and the value of the population validity coefficient of a sample regression equation were investigated. Results indicated that cross-validation may no longer be necessary for certain purposes. (Author/MH)
Descriptors: Correlation, Mathematical Formulas, Multiple Regression Analysis, Predictor Variables
Estimators of the Squared Cross-Validity Coefficient: A Monte Carlo Investigation.
Peer reviewed Peer reviewed
And Others; Drasgow, Fritz – Applied Psychological Measurement, 1979
A Monte Carlo experiment was used to evaluate four procedures for estimating the population squared cross-validity of a sample least squares regression equation. One estimator was particularly recommended. (Author/BH)
Descriptors: Correlation, Least Squares Statistics, Mathematical Formulas, Multiple Regression Analysis