ABSTRACT
Although several works exist that include a substantive discussion of the concept of converting qualitative data into numerical codes that can be analyzed statistically—a process known as quantitizing, scant literature exists regarding its analytic counterpart, namely, the concept of converting quantitative data into data that can be analyzed qualitatively—a process called qualitizing. Indeed, at the time of writing, only two works were identified that include a substantive discussion of qualitizing—necessitating more literature devoted to this topic. To this end, in this chapter, we provide a methodological discussion of the concept of qualitizing in general and the process and product of qualitizing in particular. Specifically, we outline Onwuegbuzie and Leech's (2019) expanded definition of qualitizing, we discuss when use of qualitizing is appropriate in mixed methods research, we provide a technical outline of qualitizing for mixed methods research, we provide an empirical demonstration of qualitizing for mixed methods research, we outline suggested applications of qualitizing in mixed methods research, we discuss the strengths and limitations of qualitizing in mixed methods research, and, finally, we present some resources for learning more about qualitizing. We encourage other authors to continue extending this concept of qualitizing that involves both transforming data that were originally quantitative and data that were originally qualitative but then were subsequently quantitized, which, single-handedly, has the potential to transform the field of mixed analysis.
