Walden Week 9 EBP study guide .docx

Walden Week 9 EBP study guide .docx - Group E Chapter 24...

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Group E: Chapter 24 – “Qualitative Data Analysis” Kendall Beerer, Amber Doll, Candice Sumrall, Breanna Newson Essentials of Evidence-Based Practice Walden University April 26, 2019 I. Introduction to Qualitative Analysis The purpose of data analysis is to organize, provide structure to, and elicit meaning from data collection. Challenges to qualitative analysis include lack of standard procedure, amount of work, and reducing data II. Qualitative Data Management and Organization Audio-recorded interviews and field notes are key data sources in qualitative data Develop an effective coding scheme identifying and labeling important concepts, segments, and clusters Old manual methods of organizing data includes file cards and conceptual files- data information into folders based on categories Computer-assisted qualitative data analysis software (CAQDAS) include text, code and retrieve, theory building software (most frequent), maps and diagrams, data conversion/collection including voice recognition I. Analytic Procedures a. What is data management and how does it relate to qualitative data analysis II. Qualitative Analysis a. Where does the search generally begin—a search for broad categories and then themes b. What is a theme? It captures and unifies the nature or basis of the experience into a meaningful whole. c. What is thematic analysis- when looking for similar themes or principles during data analysis d. How do metaphors and quasi- statistics help with qualitative analysis?
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  • Fall '16
  • Qualitative Research, Grounded theory

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