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The international development of contemporary clinical supervision (CS) can be traced to innovations within human service agencies, prompted by charitable organizations in Europe and the United States. Key individuals are identified in this chapter for their pioneering scholarship in the construction and refinement of appropriate ways in which CS can be measured. In the example discussed in the chapter, a novel secondary analysis of real Manchester Clinical Supervision Scale© (MCSS©) data, using mathematical models and sophisticated software, revealed empirical evidence in support of two important factors (frequency and the length of CS sessions) which, in combination, result in the optimization of the MCSS© total score. Given the infinite range of international practice environments, human service agencies can harvest measurement data using the MCSS© and other complementary measures, and conduct Classification and Regression Tree (CART) analyses that take account of particular circumstances and resources.
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