Assignment #2
The Qualitative Way Dr. Melvin Richards
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Qualitative Research
Exploring the situation
Conducted in natural settings (research site)
You are involved (as researcher)
Inductive (vs deductive/specific) analysis
Theory based… usually nascent (emerging)
Multiple sources of data
Expands existing or builds new theory
Not explaining the situation for direction
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Five Designs
Ethnographic
Phenomenological
Grounded Theory
Narrative
Case Study
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Ethnology v. Phenomenology
Ethnographic
Explores cultural phenomena
Based in anthropology
Usually in the natural setting
Phenomenological
Explores the lived experience
Usually in the natural setting
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Narrative
Usually a personal experience story (much like a biography)
Relationship between storyteller and event
Diachronic… concerned with the way something developed over time
Lengthy research periods
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Grounded Theory
Not a theory of how something works
Explores events using patterns
Based upon (or grounded upon) data
Observations/Interviews
Selective coding
Data integration with literature review
Seeks to construct new (or modified) theory
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Case Study
Seeks to identify and understand social processes
Uses personal interviews and literature review
Code data into categories
Can generate a modified or new theory
Most used by doctoral dissertations
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Strategies Reviewed
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Quantitative
Qualitative
Interviews
Observations
Surveys
Artifact Collection
(Lit Review)
Qualitative Data Sources
Two kinds of samples
Purposive samples
Non-probability based… you specifically choose the participant
Specific items in sample… failures, left-handed, hates brussel sprouts
Patton (in 1990)
Theoretical samples
Not concrete like purposive…can be time periods or general descriptive groups
Best support forming new theories
Generally supports grounded theory
Glaser and Strauss (in 1967)
Not random like quantitative… purposefully selected
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Research Design Choices
By Dr. Melvin Richards
8/30/22
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By Dr. Melvin Richards
8/30/22
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Qualitative (Ql) Methodology
The rigor comes from trustworthiness and credibility
Use of research questions that focus on exploration that leads to increasing our understanding or discovery
Adherence to the research protocols for each approach
The data analysis focuses on coding the text data that is collected
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Caveats of QN and QL
Avoid a bipolar categorization as they are not diametrically opposed
Each one is used for a different purpose
Qn focuses on measurement cause and effect and prediction
Ql focuses on discovery, understanding the meaning of experiences
The assumptions for each are based on different philosophical orientations
The language used in each one is not interchangeable in all cases
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