John Rauschenberger
Biographic Data
| ID | 1661488 |
|---|---|
| NAME | John Rauschenberger |
| GIVEN NAMES | John |
| FAMILY NAME | Rauschenberger |
| SIGNATURE | RAUSCHENBERGER J |
| AFFILIATIONS | Michigan State University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1977 |
| LATEST PUBLICATION YEAR | 1978 |
| H-INDEX | 1 |
Prediction of Post-High School Labor Force Decisions
The present study investigates the utility of employing an interdisciplinary set of variables to predict labor force decisions. Comparisons of demographic, economic, high school experience, and psychological-motivational variables indicated that the best prediction of the post-high school plans of 1,074 high school seniors resulted from high school experience variables. However, a combination of the four sets of variables resulted in substantial …
A Monte Carlo evaluation of three formula estimates of cross-validated multiple correlation
A Monte Carlo evaluation of three formula estimates of cross-validated multiple correlation
Prediction of Post-High School Labor Force Decisions
The present study investigates the utility of employing an interdisciplinary set of variables to predict labor force decisions. Comparisons of demographic, economic, high school experience, and psychological-motivational variables indicated that the best prediction of the post-high school plans of 1,074 high school seniors resulted from high school experience variables. However, a combination of the four sets of variables resulted in substantial …
A Monte Carlo evaluation of three formula estimates of cross-validated multiple correlation
Prediction of Post-High School Labor Force Decisions
The present study investigates the utility of employing an interdisciplinary set of variables to predict labor force decisions. Comparisons of demographic, economic, high school experience, and psychological-motivational variables indicated that the best prediction of the post-high school plans of 1,074 high school seniors resulted from high school experience variables. However, a combination of the four sets of variables resulted in substantial …
Computer Science (2 works) · Econometrics (2 works) · Mathematics (2 works) · Statistics (2 works) · Advanced Statistical Methods and Models (1 work) · Advanced Statistical Process Monitoring (1 work) · Cognitive Science and Mapping (1 work) · Correlation (1 work) · Economics (1 work) · Mental Health Research Topics (1 work)