![]() ![]() Qualitative content analysis is a rule-based, interpretive method used to systematically generate categories from data (KUCKARTZ, 2016 NADERER, 2007 Figureįigure 1: Process of summarizing-structuring content analysis (HOXTELL, 2016, p.42 inspired by MAYRING, 2010, pp.68-70 STEIGLEDER,īefore describing existing approaches to the automation of qualitative content analysis, I will define the terms qualitative content analysis, digitization, and automation. Throughout the analysis, which adhered to strict rules and allowed for content to be consolidatedĪnd placed in thematical order (NADERER, 2007 SCHREIER, 2014), I continuously referred to the main research question. ![]() I transcribed all the interviews verbatim (MAYRING, 2016) and conducted structured qualitative content analysis (KUCKARTZ,Ģ016) by adapting MAYRING's (2015) summarizing and structuring-deductive category assignment as well as STEIGLEDER's (2007)Ĭontinuous revision of categories. Some of these interviews were a part of four multipleĬase studies (YIN, 2009), which also included expert interviews (BORTZ & DÖRING, 2016 PFADENHAUER, 2009), participant observation,Īnd advertising media in order to triangulate data and methods of analysis (FLICK, 2011). Represented my core method of data collection since they served well to highlight youth experiences, opinions, and motives My main research question was: For which reasons do youths choose a training company? Narrative interviews My dissertation design was explorative and made pragmatic use of the methods most suitable to my inquiry (STAMANN, JANSSEN Profit from semi-automation of qualitative content analysis and the circumstances under which this might occur (Section 5). Qualitative content analysis might take and outline the approaches to automation already in use. In section four, I describe the forms semi-automated In the next section, I will introduce my dissertation's research design, as well as the qualitative content analysis I originallyĬonducted (Section 2), followed by the definitions of key terms (Section 3). ![]() The automation idea stuck with me in the years thatįollowed, during which I carried out further qualitative content analyses, and taught my students this method. I thought it should be possible to automate qualitative content analysis. ![]() Represent all relevant passages? Did the division into key categories and subcategories make sense? What was I supposed toĭo with passages that fit into more than one (sub)category? I would have loved to have been able to shorten this repetitiveĪnd time-consuming process from time to time I would have even loved to hand it over to somebody-or should I say something?-else. For months on end, I was lost in the depths of analysis: Did the coding framework (Semi-)Automation of Qualitative Content AnalysisĤ.2 Primary work: Qualitative content analysisĤ.3 Extension: Data collection and communicative validationįrom 2014 to 2015, I interviewed 72 people as part of my dissertation research, transcribed the interviews, and evaluated Qualitative Content Analysis and AutomationĤ. Initial Qualitative Content Analysis-As Carried Outģ. Key words : qualitative content analysis automation semi-automation digitization artificial intelligence categories coding frame Ģ. In use and seem suited to supporting progress towards the (semi)-automation of qualitative content analysis. I call attention to automation approaches that are already One, since it depends on continuous human-machine interaction. Based upon my own qualitative content analysis, I provide an overview of the forms semi-automated qualitative contentĪnalysis might take, that includes the additional steps of data collection and transcription. 15 – September 2019Īutomation of Qualitative Content Analysis: A ProposalĪbstract: (Semi-)automation of qualitative content analysis will likely occur in the foreseeable future in fact, it is already partially ![]()
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