Patterns of articles accepted for publication in Counselor Education and Supervision from the past 25 years were reviewed in this meta-study. Results were described and statistically analyzed to identify trends over time in author characteristics (sex, institutional classifications, employment setting, domicile) and article characteristics (article type, research design, sample, sample size, types of participants, and statistical procedures and sophistication).

We developed and tested a mediation model depicting relationships among supervisor multicultural competence, the supervisory working alliance, supervisee counseling self-efficacy, and supervisee satisfaction with supervision. Results of structural equation modeling showed that supervisor multicultural competence was related to the supervisory working alliance and that alliance, in turn, was related to supervisee satisfaction with supervision.

The authors believe that international students, increasingly visible on U.S. campuses, tend to confront unique career development challenges and often experience heightened vocational difficulty. In this article, the authors present 3 themes regarding international students' career needs derived from the current literature: career placement needs, individual factors mediating international student career needs and barriers, and help-seeking behaviors. Implications for college counseling professionals and suggested future research directions are discussed. Call

Patterns of articles accepted for publication in the Journal of College Counseling from the past 12 years were reviewed in this metastudy. Results were described and statistically analyzed to identify trends over time in characteristics of authors, including sex, institutional classifications, employment setting, and domicile, and characteristics of articles, including article type, research design, sample size, types of participants, and statistical procedures.

The use of structural equation modeling (SEM), a second-generation multivariate analysis technique that determines the degree to which a theoretical model is supported by the sample data, is becoming increasingly popular in counseling research. SEM tests models that include both observed and latent variables, allowing the counseling researcher to confirm the factor structure of a newly developed or existing psychological instruments and to examine the plausibility of complex, theoretical counseling models. This article provides counseling researchers and practitioners with an overview of SEM and presents five steps for conducting SEM analysis in counseling research.