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ERIC Number: ED170535
Record Type: Non-Journal
Publication Date: N/A
Pages: 20
Abstractor: N/A
Reference Count: N/A
Participation In a Career Decision-Making Program: Obtaining Predictors from an Analysis of Readily Available Data.
Buchanan, Lillian; Simutis, Jean
A study was designed to investigate the possibility that college students who participate in career decision-making (CDM) programs differ from the general college population in ways unrelated to their CDM status. This exploratory hypothesis was tested by determining, first, whether a regression equation could be constructed using readily available entrance data which would account for a significant amount of CDM program participation, and, second, whether this equation would continue to account for a significant amount of variance when applied to a cross-validation sample from a subsequent year. The standardization regression equation was based on data on 235 students in the class of 1980 at Alma College (Michigan). Several variables which represented the subjects' CDM status, or need for help with CDM, were included in the set of predictor variables. The study demonstrated that participation in a CDM program can be reliably predicted using a small set of variables from readily available data. A regression equation using ten variables accounted for 24% of the variance in program participation for the class of 1980. When this regression equation was applied to a sample from the class of 1981, the result remained significant. The results suggest that there are predictors of CDM program participation beyond those predictors which are directly related to CDM. Also, a hierarchical regression analysis determined that predictors of enrolling in a CDM program can be differentiated from predictors of amount of participation once in the program. (Author/BM)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: Alma Coll., MI.
Identifiers - Location: Michigan