Meta-analysis is an increasingly popular technique that systematically and statistically summarizes the results from research studies in a particular area (Lipsey & Wilson, 2001). Meta-analytic studies can be particularly useful to practitioners because they combine the results from various studies and eliminate the drudgery of sifting through the findings of multiple individual studies. Although meta-analysis can be used to summarize research in multiple areas (e.g., correlational studies), I am going to restrict my comments to intervention studies with a focus on career interventions. Specifically, this chapter will address the issues surrounding conducting general meta-analyses versus population and setting-specific meta-analyses in the career area.With meta-analysis, a researcher calculates an effect size for each study, typically by subtracting the control group mean from the treatment group mean and dividing by the pooled standard deviation of the groups. Therefore, if the treatment group mean is larger than the control group, the effect size is positive and reflects the degree or magnitude of the treatment group's effect. These effect sizes are weighted, on factors such as sample size, and are combined to produce an average effect size for the intervention studies. The content of the combined intervention studies is important in this process, along with whether it is better to more narrowly restrict studies to specific populations (e.g., AfricanAmericans) or settings (e.g., career development centers) or to more broadly include studies, which will be labeled general meta-analyses.Certainly there are advantages to having more specific meta-analyses. For example, a career counselor working with African American clients could search databases such as PSYCINFO for meta-analyses of career interventions with African Americans. A recent search of PSYCINFO with the keyword meta-analysis revealed over 16,000 studies. It would be difficult for the career counselor to review each of the studies in the hopes of identifying a meta-analysis pertinent to career counseling. Thereby, a clinician could simply enter the terms African American and career interventions and theoretically identify a meta-analysis, if such a metaanalysis existed, that could inform the clinician on the types of career interventions associated with larger effect sizes. The clinician could then adopt those interventions shown to be most effective with African American clients and provide evidence-based practice. Although such a meta-analysis does not currently exist, the desire for such information is evident as many researchers have called for an exploration of the efficacy of career interventions with ethnic and racial minorities (Fouad, & Kantamneni, 2008;Leong & Flores, 2015). Not only is there a need for specific information regarding the effectiveness of career intervention with racial and ethnic minority clients, but there may also be a need for specific