When nonrandom treatments occur across sites, within-site matching (WM) is often desirable. This approach, however, can significantly reduce treatment group sample size and exclude substantively important subgroups. To limit these drawbacks, we extend a matching approach developed by Stuart and Rubin to a multisite study. We demonstrate the proposed method through a multisite analysis of algebra enrollment effects in 50 middle schools, where within each school students are assigned to algebra or pre-algebra and test the utility of the proposed method with a simulation study. The results document the method's conceptual appeal and indicate that two-stage matching is a viable alternative to strict WM or matching that ignores the nested data structure (pooled matching).
Most studies of nurse turnover focus on job turnover, which could reflect nurse advancement and thus not be detrimental to the workforce. The authors discuss findings from a study that involved 2 cohorts of graduates from registered nursing and licensed vocational nursing community college programs in California. The duration of employment in the healthcare industry, as well as with specific employers, is tracked, lending a more thorough analysis of nursing job and industry turnover than found in other studies.
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