This chapter provides an overview of selected qualitative data analytic strategies with a particular focus on codes and coding. Preparatory strategies for a qualitative research study and data management are first outlined. Six coding methods are then profiled using comparable interview data: process coding, in vivo coding, descriptive coding, values coding, dramaturgical coding, and versus coding. Strategies for constructing themes and assertions from the data follow. Analytic memo writing is woven throughout the preceding as a method for generating additional analytic insight. Next, display and arts-based strategies are provided, followed by recommended qualitative data analytic software programs and a discussion on verifying the researcher’s analytic findings.
Due to the lack of “how-to” pieces in the methods literature, a theatre artist who later became an ethnographer offers this personal primer in playwriting with qualitative data. Ethnodramatic research representation should be chosen not for its novelty but for its appropriateness as a medium for telling a participant’s story credibly, vividly, and persuasively. An overview of such fundamental playwriting principles as plotting, characterization, monologues, dialogue, and staging is given. The author also proposes that collaborative ventures between ethnographers and theatre practitioners should be initiated to heighten the artistic quality of ethnotheatrical presentations.
This chapter provides an overview of selected qualitative data analysis strategies with a particular focus on codes and coding. Preparatory strategies for a qualitative research study and data management are first outlined. Six coding methods are then profiled using comparable interview data: process coding, in vivo coding, descriptive coding, values coding, dramaturgical coding, and versus coding. Strategies for constructing themes and assertions from the data follow. Analytic memo writing is woven throughout as a method for generating additional analytic insight. Next, display and arts-based strategies are provided, followed by recommended qualitative data analytic software programs and a discussion on verifying the researcher’s analytic findings.
This here’s a kick-ass article ’bout a pissed off qualitative researcher who feels that some of you higher ed profs out there got a lotta attitude and need to be brought down a notch. I speak my mind in this piece ’bout a lotta stuff, like me, positionality, voice, labels, method, theory, ethics, and other crap like that. I write like a redneck ’cause that’s what’s in my blue-collar soul. I keep it real. Take it or leave it.
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