Examining Career Transitions during Mid-Adulthood through the Lens of Bioecological and Microdevelopmental Research

Using hierarchical multiple linear regression, this study examined the predictive relationship between micro-career transitions and career related outcomes and how those relationships were moderated by equilibration style. Participants (n = 177) answered an online survey which included a variety of...

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Bibliographic Details
Main Author: Davis, Joe Edd
Other Authors: Hayslip, Bert
Format: Others
Language:English
Published: University of North Texas 2009
Subjects:
Online Access:https://digital.library.unt.edu/ark:/67531/metadc12115/
Description
Summary:Using hierarchical multiple linear regression, this study examined the predictive relationship between micro-career transitions and career related outcomes and how those relationships were moderated by equilibration style. Participants (n = 177) answered an online survey which included a variety of measures for control, predictor, moderator, and outcome criterion (i.e., demographic descriptors, Instrumentality, Openness, Job Insecurity, Social Support Satisfaction, Microtransitions, Equilibration Style, Job Satisfaction, Job Burnout, Life Dissatisfaction, and Career Optimism). Research questions addressed the nature of micro-career transitions (e.g., frequencies, average stress ratings, category types), their predictive relationship with job and career outcomes, and the moderating role of Identity Styles on that relationship. Micro-career transitions were described according to responses for the research sample (n = 638). Significant effects were discovered between microtransitions and career outcomes (p < .05 and .01). Equilibration styles were also established as having a moderating effect on the predictive relationship between microtransitions and career outcomes (p < .05 and .01). Interaction terms were decomposed to examine the direction of significant moderating effects. In all cases where interaction terms were significant, moderators enhanced the negative predictive relationship between microtransitions and career outcomes.