Prediction of Post-High School Labor Force Decisions
Datos Bibliográficos
| ID | 9890813 |
|---|---|
| Autores | Neal Schmitt (0000-0002-2806-348X, Michigan State University, autor de correspondencia), John Kenneth White, Bryan W Coyle (Michigan State University), John Rauschenberger (Michigan State University), Scott Shumway (Michigan State University) |
| Año | 1978 |
| Volumen | 31 |
| Número | 8 |
| Páginas | 727-743 |
| Fecha de publicación | 1978-08-01 |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Human Relations (JOURNAL) |
| Identificadores de la revista | ISSN: 0018-7267 • E-ISSN: 1741-282X |
| Editorial | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/001872677803100805 |
| OpenAlex | W2161624518 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 21 |
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 improvement over any single set of predictors. It is suggested that laborforce behavior can be better understood and predicted if a multidisciplinary approach is utilized
Econometrics · Economics · Multidisciplinary approach · Set (abstract data type · Social science · Sociology · Statistics · Variables · Cognitive Science and Mapping · Computer Science · Mathematics · Mental Health Research Topics · Psychological Well-being and Life Satisfaction · Psychology · Social Psychology
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| Citas por año | 0,02 |
|---|---|
| Intervalo de citas | 1983 - 1983 (1) |
| Altamente citado | No |