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Prediction of Post-High School Labor Force Decisions

Datos Bibliográficos

ID9890813
AutoresNeal 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)
Año1978
Volumen31
Número8
Páginas727-743
Fecha de publicación1978-08-01
Open AccessSí
TipoARTICLE
RevistaHuman Relations (JOURNAL)
Identificadores de la revistaISSN: 0018-7267 • E-ISSN: 1741-282X
EditorialSAGE Publications (PUBLISHER • US)
DOI10.1177/001872677803100805
OpenAlexW2161624518
IdiomaEN
Citas recibidas1
Referencias citadas21

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 año0,02
Intervalo de citas1983 - 1983 (1)
Altamente citadoNo

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