Making Quilts The Art and Science of Qualitative
- Slides: 33
Making Quilts: The Art and Science of Qualitative Research Andrew Sussman, Ph. D, MCRP Family and Community Medicine 1. 25. 14
Overview Ø Qualitative Research: what, why, how Ø Mixed Method Research Ø See one, do one “Life is not a problem to be solved, but a reality to be experienced. ” —Soren Kierkegaard
Making Quilts Ø Bricoleur— "make creative and resourceful use of whatever materials are at hand”
Situating Qualitative Research Ø Qualitative/quantitative research are not just different ways of doing research, but different ways of knowing Ø Paradigm: a pattern or model (Thomas Kuhn): methods often highlighted but are downstream l l Ø (Post) Positivism Interpretivism Science as “cultural filter” “What we observe is not nature itself, but nature exposed to our method of questioning. “ —Werner Heisenberg
What is qualitative research? Quantitative Research (Positivism) ØMeasurement-numbers Ø“Top down” ØGeneralizing ØObjective ØSeparating and reducing Qualitative Research (Interpretivism) ØContext, values, experiences Ø“bottom up” ØSubjectivity ØSeeing the whole picture ØParticular
What is qualitative research Ø Layers of meaning--“like peeling onions” Ø Richness, depth key terms
Context Matters Most sciences attempt to understand phenomena by isolating them from their context. Ø Humanities and social sciences often attempt to understand the meaning of phenomena Ø Meaning can only be understood in context. Ø
Observation Exercise: How do you ‘read’ this image? Insider Meanings Outsider (Emic) Meanings (Etic)
A Call for Integration Ø Limitations of positivism Social world is not like billiards: undergoing constant non-linear change Ø “Simplicity and predictability do not make positivism wrong; they merely limit it. ” —Paul Thomas
Common (Inherent) Criticisms of Qualitative Research Biased False Anecdotal False Lacks External Validity False Lacks rigor False Not systematic False Tolerance for ambiguity True Not numerically representative True Involves little division of labor True Small scale, time consuming True Needs close supervision to learn True
The Qualitative Toolbox Methods Not one way for doing qualitative research Ø Need for flexibility—data collection and analysis happening together Ø 1. Participant-Observation 2. Ethnography 3. Photography 4. Ethnomethodology 5. Interviewing/Focus Groups 6. Unobtrusive Measures (audio/video tape) 7. Natural Experiment 8. Case Study 9. Social Network Analysis 10. Content Analysis 11. Historiography 12. Secondary Analysis of Data
Most Used Tools Interviewing: l individual, focus groups, case study l unstructured to structured Ø Observations: l participant observation, field notes, audio/video taping (degree of obtrusiveness) Ø Collecting Texts and Artifacts l documents in public sphere, media Ø
Qualitative Research: How to’s Ø Clear connection between research questions and methods—methods determined by needs Ø Who to involve? —sample must be appropriate and purposeful—not random; people who best represent or have knowledge of topic; Ø dynamic relationship between sampling, data collection and analysis—data collection and analysis are concurrent l l Survey—usually the same for every subject Interview—(could be) slightly different for every subject Morse JM, Barrett M, Mayan M, Olson K, Spiers J. Verification strategies for establishing reliability and validity in qualitative research. International Journal of Qualitative Methods 2002.
How to make sense of it: Data Analysis/Coding Loops: Ø Do data collection Ø Review the data Ø Come together to discuss themes Ø Modify interview guide Ø Do data collection… Ø Rinse, lather, repeat. . .
Coding Ø Coding: a word or short phrase that serves to organize or categorize your data (community; equitable coverage; stereotyping) Ø Themes: clusters or patterns of codes that thematically ‘hang together’
Data Analysis—Coding Ø http: //ssrcdepaul. wordpress. com/2011/10/ 07/constant-comparison-with-jellybeans/
Coding with Jellybeans Ø Start slowly with small amounts of data Ø Won’t all fit together at the start and lots of differences Ø Gets more clear as you progress Ø Forms a “quilt”—patchwork Ø Coding problem: takes things apart while we’re trying to put it all together
“Data Saturation”—when do we stop? Themes stop data collection New Data
Qualitative Sampling “Evidence” Guest G et al. Field Methods, Vol. 18, No. 1, February 2006 59– 82
Qualitative Research Considerations Ø Qualitative Data Analysis software: To use or not to use? Does not give you answers… Ø Validity and reliability—need to assess using different standards Ø Context matters—each study unique: not about engineering the perfect data collection instrument (although we try) Ø Low Division of Labor—all hands on deck; can seem deceptively easy; takes time
Mixed Method Research Ø Increasingly recognized in health, education, psychology; different types of research Ø INTEGRATES one or more qualitative and quantitative techniques for data collection and analysis Ø MORE than simply the presence of both techniques: process to integrate, relate and synthesize Outcome TRANSCENDS individual method and/or disciplines Ø
Deep in the Trenches of the Paradigm Wars DEFINITION: When one type of research (qualitative or quantitative) is not enough to address the research problem or answer the research questions. “Incompatibility Thesis” “accommodation between paradigms is impossible. . . we are led to vastly diverse, disparate, and totally antithetical ends” –E. Guba, 1990
Some considerations Ø Timing Ø Which one is emphasized? Ø How to put data together
Example of Mixed Method Design QUALITATIVE (preliminary analysis) QUAL QUANTITATIVE (preliminary analysis) (conduct at same time) PUT IT ALL TOGETHER QUAN PUT IT ALL TOGETHER
Why isn’t everyone doing it? Practical Challenges Getting funded Ø Planning ahead Ø “Multi-lingual team” Ø It’s more difficult Ø Publication Ø
Window of Opportunity in Health Research Ø Science of the Social: l qualitative methods; mixed method research; Complexity science; social network analysis l Why: advances in basic knowledge have not always led to advances in things we care about • Social problems, health and well being
Ethical Issues in Qualitative Research Is the recorder always on? Ø Reflection leading to (in)action—unintended consequences Ø Challenges to maintain confidentiality (focus groups; reporting misconduct? ) Ø Focus on reducing individual harms not sufficient —other potential harms (entire community) Ø
Questions?
SEE ONE, DO ONE: THREE TOPICS
First Topic: 1. Problem of Substance use: l l New Mexico leads the country in deaths by prescription pain medication overdose Health care clinics often don’t identify people who have these problems even though there are some effective treatments to help them ØWhat’s going on? How can we figure out ways to help people?
Second Topic 2. Lung Cancer Screening by CT Scan l Lung cancer is still a leading cause of death. A new way to screen for lung cancer has just been approved. BUT…we don’t know if health care providers and patients will want to do this screening. ØHow do we find out?
Third Topic 3. Complementary and Alternative Medicine ØMany people in New Mexico use CAM approaches to take care of themselves but they don’t often feel comfortable telling their doctors about this use. Not doing so can cause problems with other treatments. ØHow do we help figure out ways to have better communication between patients and doctors?
Your Job: Ø Design a qualitative project l l What’s the main goal for the project? Methods: How will you do the research? • Who will you talk to? Interviews or focus groups? • How many people? • List 4 questions you would ask l Achieving your goal: is the problem solved? What would you do next?
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