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Overview of ORLD 6501 Qualitative Data Analysis Strategies and Tools!

Overview of ORLD 6501 Qualitative Data Analysis Strategies and Tools!. Topics. Course Focus Foundation Concepts Using Software to Support QDA. Course Outline. Prerequisite ORLD 6500 : Qualitative research methods in organizations – Design and Data Collection

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Overview of ORLD 6501 Qualitative Data Analysis Strategies and Tools!

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  1. Overview of ORLD 6501Qualitative Data Analysis Strategies and Tools!

  2. Topics • Course Focus • Foundation Concepts • Using Software to Support QDA

  3. Course Outline • Prerequisite ORLD 6500: Qualitative research methods in organizations – Design and Data Collection • Overview of Course: Different Qualitative Data Analysis Paradigms • Research Foundations: Problem, Purpose & Research Questions • Conceptual Frameworks and Data Analysis: Building/Refining and Adapting • Introduction to Coding and Analysis: Invivo & Other Forms of Open Coding • Putting It All Together: Data Displays, Findings, Analysis and Interpretation

  4. Assignments • Elevator Speech (topic, question, rationale) • Background of Your Study: 4-6, double-spaced, summary of research design (from pilot study/ORLD 6500) • Conceptual Framework: graphic representation; drawn from prior studies; conceptual literature and/or practice/experience • Data Analysis Assignment: based on learning contract – demonstration of data analysis capabilities, coding scheme, findings, interpretation, synthesis and preliminary recommendations

  5. Framing Ideas…Building a Foundational Understanding

  6. Sample Elevator Speech • Topic: I was trying to learn about the journey of becoming a diversity practitioner(i.e., an external diversity expert/consultants or the lead internal diversity person in Fortune 500 Corporations)... • Question: Because I wanted to … capture the key experiences that represented the competency development process(i.e., how they learned what they know, can do and disposition needed to operate effectively in the role) in an emerging field of practice with few established canons… • Significance: In order to help… senior executives charged with hiring diversity practitioners, as well as individuals in the business of preparing future diversity practitioners, benefit from the experiences of this select group of pioneers who were shaping the state of the practice at the time of the study (1999 to 2001).

  7. Foundations: Study on a Page Topic Problem (gap) Purpose (objective) Theory Input (Conceptual Framework) Core Research Question(s) 1-3 Sampling Strategy (Who, Where, Why) Method (Quant./Qual./Mixed)

  8. From “Data” to “Insight” • Informed Action • Data Collection Tools • Data Generation & Analysis • Breakthroughs • Application to Study • State of the “Practice” • State of the “Theory Base” • Conceptual Framework • Data Management • Table/Matrix/Outline • Patterns • Themes • Prior Studies/Theory Input • Linked to “Purpose”/RQs • Guiding “Q” for each area • Relevance

  9. Start with Prior Studies • Use core research question(s) to guide search • Devise “key word” search strategy and track results • Focus on “peer review” articles first, then move to “dissertations,” and conference proceedings, etc. • Recordproblem/purpose statements, research questions/hypothesis/method, areas of literature review; findings, and implications for further/future research [review references for patterns] • Result: summary of “what is known” about your topic, and grounded areas of needed exploration

  10. Prior Studies Matrix

  11. Anatomy of a Concept Exploring Literature for Insight & Understanding… • Meaning: definitions, principles and assumptions (key thinkers); “literal” – What does the dictionary say? What do selected theorists say? Implications for your study? • Origins: evolution of the concept; theoretical foundations; contextual awareness of current usage. • Elements: major/key “components” of the concept; related concepts. • Relationships: connections between components; how they come together to enact the concept. • Analysis: similarities and differences amongst key thinkers-based on all data collected above; critiques and gap; implications for your study.

  12. Using Software…Dealing with Volumes of Data

  13. The case for “data displays” Knowledge Retention Research Reveals… • People retain 90% of what they say and do • People retain 80% of what they see, hear & read • People retain 50% of what they see and hear • People retain 20% of what they hear • People retain 10% of what they read

  14. Framing Questions… What criteria should be used to determine whether or not to use qualitative software? What factors should be considered in selecting a software program to support the qualitative research process? / Your dissertation work?

  15. What’s Available…

  16. Examples • Quick Literature Review Project/Conference Paper • Dissertation

  17. Are there any questions? 15 minutes 14 minutes 13 minutes 12 minutes 11 minutes 10 minutes 9 minutes 8 minutes 7 minutes 6 minutes 5 minutes 4 minutes 3 minutes 2 minutes 1 minute Thank you for your questions

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