Jeff W Johnson
Biographic Data
| ID | 8867053 |
|---|---|
| NAME | Jeff W Johnson |
| GIVEN NAMES | Jeff W |
| FAMILY NAME | Johnson |
| SIGNATURE | JOHNSON J W |
| AFFILIATIONS | Personnel Decisions Research Institutes |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2000 |
| LATEST PUBLICATION YEAR | 2012 |
| H-INDEX | 0 |
Use and Importance of Personality Variables in Work Settings
This chapter describes what we have learned in the past decade in the area of personality research in organizations and integrates it with what we learned before that has stood the test of time. Separate sections focus on (a) the structure of personality, (b) models of the determinants of work performance that include personality variables, (c) the magnitude of criterion-related validity of personality variables for predicting work-related outcom…
History and Use of Relative Importance Indices in Organizational Research
The search for a meaningful index of the relative importance of predictors in multiple regression has been going on for years. This type of index is often desired when the explanatory aspects of regression analysis are of interest. The authors define relative importance as the proportionate contribution each predictor makes to R 2 , considering both the unique contribution of each predictor by itself and its incremental contribution when combined…
A Heuristic Method for Estimating the Relative Weight of Predictor Variables in Multiple Regression
The relative weight of predictor variables in multiple regression is difficult to determine because of non-zero predictor intercorrelations. Relative weight (also called relative importance by some researchers) is defined here as the proportionate contribution each predictor makes to R2, considering both its unique contribution and its contribution when combined with other variables. Although there are no unambiguous measures of relative weight w…
No prominent works on this page.
A Heuristic Method for Estimating the Relative Weight of Predictor Variables in Multiple Regression
The relative weight of predictor variables in multiple regression is difficult to determine because of non-zero predictor intercorrelations. Relative weight (also called relative importance by some researchers) is defined here as the proportionate contribution each predictor makes to R2, considering both its unique contribution and its contribution when combined with other variables. Although there are no unambiguous measures of relative weight w…
History and Use of Relative Importance Indices in Organizational Research
The search for a meaningful index of the relative importance of predictors in multiple regression has been going on for years. This type of index is often desired when the explanatory aspects of regression analysis are of interest. The authors define relative importance as the proportionate contribution each predictor makes to R 2 , considering both the unique contribution of each predictor by itself and its incremental contribution when combined…
Use and Importance of Personality Variables in Work Settings
This chapter describes what we have learned in the past decade in the area of personality research in organizations and integrates it with what we learned before that has stood the test of time. Separate sections focus on (a) the structure of personality, (b) models of the determinants of work performance that include personality variables, (c) the magnitude of criterion-related validity of personality variables for predicting work-related outcom…
Advanced Statistical Methods and Models (2 works) · Econometrics (2 works) · Mathematics (2 works) · Psychology (2 works) · Regression analysis (2 works) · Social Psychology (2 works) · Statistics (2 works) · Big Five personality traits (1 work) · Clinical Psychology (1 work) · Computer Science (1 work)