An interdisciplinary meta-analysis of the potential antecedents, correlates, and consequences of protégé perceptions of mentoring.

This meta-analysis summarized youth, academic, and workplace research on the potential antecedents (demographics, human capital, and relationship attributes), correlates (interaction frequency, relationship length, performance, motivation, and social capital), and consequences (attitudinal, behavioral, career-related, and health-related outcomes) of protégé perceptions of instrumental support, psychosocial support, and relationship quality to the mentor or to the relationship. A total of 173 meta-analytic correlations were computed based on data from 173 samples and a combined N of 40,737. Among antecedents, positive protégé perceptions were most strongly associated with greater similarity in attitudes, values, beliefs, and personality with their mentors (ρ ranged from .38 to .59). Among correlates, protégé perceptions of greater instrumental support (ρ = .35) and relationship quality (ρ = .54) were most strongly associated with social capital while protégé perceptions of greater psychosocial support were most strongly associated with interaction frequency (ρ = .25). Among consequences, protégé perceptions of greater instrumental support (ρ = .36) and relationship quality (ρ = .38) were most strongly associated with situational satisfaction while protégé perceptions of psychosocial support were most highly associated with sense of affiliation (ρ = .41). Comparisons between academic and workplace mentoring generally revealed differences in magnitude, rather than direction, of the obtained effects. The results should be interpreted in light of the methodological limitations (primarily cross-sectional designs and single-source data) and, in some instances, a small number of primary studies.

How serious of a problem is staff turnover in substance abuse treatment? A longitudinal study of actual turnover.

In the substance abuse treatment field, the annual turnover rate is cited as being anywhere between 19% and 50% (J.A. Johnson & P.M. Roman, 2002; S.L. Gallon, R.M. Gabriel, J.R.W. Knudsen, 2003; H.K. Knudsen, J.A. Johnson, & P.M. Roman, 2003; A.T. McLellan, D. Carise, & H.D. Kleber, 2003). However, no research to date has evaluated these claims by tracking turnover longitudinally using organizational turnover data from substance abuse treatment centers. This research presents the results of a longitudinal study designed to systematically examine actual turnover among counselors and clinical supervisors. Twenty-seven geographically dispersed treatment organizations, serving a wide range of clients in the public and private sector, provided data for the study over a 2-year time span (2008-2009). The annual turnover rate was 33.2% for counselors and 23.4% for clinical supervisors. For both groups, the majority of turnover was voluntary (employee-initiated). Specific reasons for turnover were largely consistent across the two groups, with the most common reason being a new job or new opportunity. The findings are discussed in terms of the unique employment context of substance abuse treatment. Practical recommendations are also discussed to help stem the tide of turnover in the field of substance abuse treatment.

The intersection of work and family life: the role of affect.

This review examines the role that trait-based and state-based affect plays in understanding the intersection of work and family life. We start with the definition of key terms and concepts. This is followed by a historical overview of the two bodies of scholarship that are the focus of this review, the work-family interface and affect. Next, we provide a review and synthesis of 79 empirical studies examining affect in relation to work-family interaction, organized around three perspectives: the dispositional perspective, the state-based specific affective reactions perspective, and the state-based global affective reactions perspective. A methodological critique of these studies follows, providing a springboard for the discussion of recommended methodologies and data analytic approaches, along with directions for future research.