The magnitude and variability of sex differences in vocational interests were examined in the present meta-analysis for Holland's (1959, 1997) categories (Realistic, Investigative, Artistic, Social, Enterprising, and Conventional), Prediger's (1982) Things-People and Data-Ideas dimensions, and the STEM (science, technology, engineering, and mathematics) interest areas. Technical manuals for 47 interest inventories were used, yielding 503,188 respondents. Results showed that men prefer working with things and women prefer working with people, producing a large effect size (d = 0.93) on the Things-People dimension. Men showed stronger Realistic (d = 0.84) and Investigative (d = 0.26) interests, and women showed stronger Artistic (d = -0.35), Social (d = -0.68), and Conventional (d = -0.33) interests. Sex differences favoring men were also found for more specific measures of engineering (d = 1.11), science (d = 0.36), and mathematics (d = 0.34) interests. Average effect sizes varied across interest inventories, ranging from 0.08 to 0.79. The quality of interest inventories, based on professional reputation, was not differentially related to the magnitude of sex differences. Moderators of the effect sizes included interest inventory item development strategy, scoring method, theoretical framework, and sample variables of age and cohort. Application of some item development strategies can substantially reduce sex differences. The present study suggests that interests may play a critical role in gendered occupational choices and gender disparity in the STEM fields.

Participants (230 White college students) completed the Psychosocial Costs of Racism to Whites (PCRW) Scale. Using cluster analysis, we identified 5 distinct cluster groups on the basis of PCRW subscale scores: the unempathic and unaware cluster contained the lowest empathy scores; the insensitive and afraid cluster consisted of low empathy and guilt scores, with the highest score on fear; the fearful guilt cluster exhibited elevations on guilt and fear; the empathic but unaccountable cluster reflected high empathy with low guilt and fear; and the informed empathy and guilt cluster represented those high on empathy and guilt in conjunction with low levels of fear. Groups were validated on an additional sample (n ϭ 366) and were found to differ significantly on theoretically related measures.

Although many students struggle with career-related issues in college, comparatively few engage the career services offered by their academic institutions for help with their difficulties. In addition, there is little research on the factors influencing students' decisions to engage in counseling for career-related issues, making it difficult to develop programs to enhance students' use of career counseling services. The present study examines the relationships between the stigma associated with help seeking and attitudes toward engaging in career counseling. Participants were 509 college students who completed measures of stigma and attitudes toward career counseling. Structural equation modeling results indicated that public and personal stigmas were linked to self-stigma, which in turn was linked to attitudes toward seeking career counseling. Sixty percent of the variance in self-stigma and 42% of the variance in attitudes was accounted for in the model.

Stigma is an important barrier to seeking psychological services worldwide. Two types of stigma exist: public stigma and self-stigma. Scholars have argued that public stigma leads to self-stigma, and then self-stigma is the primary

Using data from published sources, the authors investigated J. L. Holland's (1959Holland's ( , 1997 theory of interest types as an integrative framework for organizing individual differences variables that are used in counseling psychology. Holland's interest types were used to specify 2-and 3-dimensional interest structures. In Study 1, measures of individual characteristics and, in Study 2, measures of environmental demands were successfully integrated into a 2-dimensional circumplex interest structure using the technique of property vector fitting. In Study 3, cognitive abilities were successfully integrated into a 3-dimensional interest structure. Obtained results illustrate the potential utility of interest-based structures for integrating a wide range of information. This represents a 1st step toward the development of an Atlas of Individual Differences, mapping the interrelations among individual-differences measures to facilitate their integrative use in career counseling and other applied settings.