In a climate in which career transitions are increasingly common, chance events may have a greater influence on career development. This article is a review of how well the current theory and research can account for the interaction between chance events and career development. Chance events are characterized as being unpredictable and unplanned to the person who experiences them. However, existing research and theory have largely failed to consider these unique qualities of chance events. Theories based on learning principles such as happenstance learning theory (Krumboltz, 1996, 2009), social cognitive career theory, and cognitive information processing theory of career development provide a framework for understanding the processes that occur when people are affected by or respond to events that are predictable or unplanned. This review considers this potential and concludes with suggestions for possible avenues for future research.
Despite increasing interest in social class issues within psychology, there are a limited number of theoretically rooted instruments to measure subjective social class, particularly related to classism. The purpose of this project was to create a brief, psychometrically sound, and theoretically grounded instrument, called the Classism Attitudinal Profile (CAP), designed to measure 2 aspects of classism (downward and upward) defined in Liu's (2011) Social Class World View Model Revised (SCWM-R). Data from 2 independent samples (n = 608, n = 199) provided evidence in support of the consistency (alpha and test-retest coefficients), anticipated factor structure, and convergent/discriminant validity of CAP subscale scores. Downward and upward classism scores were only modestly correlated with each other and differentially correlated with other measures, thereby demonstrating that CAP subscales measure distinct constructs rather than opposite ends of the same continuum. Validity of CAP scores was further supported by logically consistent patterns of relationships with measures of subjective social status, materialistic values, Protestant work ethic, life satisfaction, racism, sexism, and key demographic variables. (PsycINFO Database Record
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