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predicting job decisions in tomorrow's workforce
Author(s) -
Martin Cody,
Anderson Lance,
Cronin Brian,
Heinen Beth,
Swetharanyan Sukanya
Publication year - 2010
Publication title -
journal of employment counseling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.252
H-Index - 27
eISSN - 2161-1920
pISSN - 0022-0787
DOI - 10.1002/j.2161-1920.2010.tb00101.x
Subject(s) - psychology , workforce , variance (accounting) , interview , regression analysis , compensation (psychology) , applied psychology , social psychology , medical education , statistics , accounting , political science , mathematics , medicine , law , business
The Job Decision Factors Survey used policy capturing to measure the influence of 7 factors on job decisions. Data from 400 undergraduate students at a large university, 88% 18–25 years of age, 12% 25–65 years of age, 82% female, 54% White, 21% Asian, 10% Black, 10% Hispanic, 1% American Indian, were included in a regression analysis. Hypothesis 1, the significance of the 7‐factor model, was supported ( R 2 = .02). Hypothesis 2, opportunities to learn accounting for more variance than compensation, was supported (β = .11, β = .06, respectively). Job counselors should consider highlighting learning opportunities when counseling or interviewing similar populations.