Learning Experiences in Career Exploration and Decision-Making: A Test of the Career Self-Management Model

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dc.contributor.advisorLent, Robert Wen_US
dc.contributor.authorIreland, Glenn Walteren_US
dc.contributor.departmentCounseling and Personnel Servicesen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2017-09-14T05:30:36Z
dc.date.available2017-09-14T05:30:36Z
dc.date.issued2017en_US
dc.description.abstractThe proposed study had two objectives. First, it refined a recently developed measure of five types of learning experiences that, according to social cognitive career theory (SCCT; Lent & Brown, 2013), inform self-efficacy and outcome expectations in the domain of career exploration and decision-making. Second, it used the new measure to test hypotheses that (a) career exploration and decision-making learning experiences predicted both career decision self-efficacy and outcome expectations, and (b) these learning experiences related to career exploration goals indirectly via self-efficacy and outcome expectations. Data were collected via an online survey from 215 college students in introductory psychology courses. Hypothesized relationships among the learning experiences, self-efficacy, outcome expectations, and goals were tested using hierarchical linear regression. Non-parametric bootstrapping was used to test mediation (indirect effects) hypotheses.en_US
dc.identifierhttps://doi.org/10.13016/M2125Q946
dc.identifier.urihttp://hdl.handle.net/1903/19846
dc.language.isoenen_US
dc.subject.pqcontrolledCounseling psychologyen_US
dc.subject.pquncontrolledCareeren_US
dc.subject.pquncontrolledLearning Experiencesen_US
dc.subject.pquncontrolledOutcome Expectationsen_US
dc.subject.pquncontrolledSCCTen_US
dc.subject.pquncontrolledSelf-Efficacyen_US
dc.subject.pquncontrolledVocationalen_US
dc.titleLearning Experiences in Career Exploration and Decision-Making: A Test of the Career Self-Management Modelen_US
dc.typeThesisen_US

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