Social Work Research and Evaluation applies systematically developed research knowledge to social work practice and emphasizes the “doing” of social work as a reciprocal avenue for generating research evidence and social work knowledge. Using the Examined Practice Model, authors Elizabeth G. DePoy and Stephen F. Gilson present research as the identification of a problem and then proceed to evaluate the efficacy of social work practice in its resolution. Diverse theories, actions, and sets of evidence from a range of professional and disciplinary perspectives are included to underscore the importance of integrating evaluation and practice in research.



The primary objective of this chapter is to discuss methods of analyses across all three traditions as they are most useful throughout examined practice. We begin with experimental-type design, identifying the logic of choosing a statistical approach. The action processes of statistical calculation central to experimental-type inquiry are then discussed before we move on to analysis in naturalistic inquiry and mixed methods.

What Is Statistical Analysis?

A formal definition of statistical analysis is the organization, interpretation, and presentation of data according to well-defined, systematic, and mathematical procedures and rules (DePoy & Gitlin, 2016). As discussed in Chapter 11, the term data within the experimental-type tradition refers to information obtained through measurement, answering questions such as, “How much? How many? How long? How fast? How ...

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