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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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Presentation Transcript
topics
Topics
  • Course Focus
  • Foundation Concepts
  • Using Software to Support QDA
course outline
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
assignments
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
sample elevator speech
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).
foundations study on a page
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)

from data to insight
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
start with prior studies
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
anatomy of a concept
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.
the case for data displays
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
framing questions
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?

examples
Examples
  • Quick Literature Review Project/Conference Paper
  • Dissertation
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Are there any questions?

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Thank you for your questions