qualitative research primer - d-lab berkeley...qualitative inquiry & research design: choosing...
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Qualitative Research Primeran overview of the basicspresented by Josué Meléndez Rodríguez, MA, MSW
melendezrodriguez.com
IntroductionsJosué Meléndez Rodríguez----------------------------------------------------------------------------------------------------------
University of California, Berkeley VERBI Software GmbHQualitative Research Lead Professional MAXQDA TrainerSenior Data Science Fellow----------------------------------------------------------------------------------------------------------
Michigan State University Loyola University ChicagoMA in Higher, Adult, & Lifelong Education BSW in Generalist PracticeMSW in Organizational & Community Practice
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Agenda
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General Considerations
Philosophical Considerations
Methodologies & Methods
Theories & Frameworks
UC Berkeley Resources
Reading Recommendations
Coding & Analysis
General Considerations● Qualitative, Quantitative,
& Mixed-Methods
● Differences of Opinion
● Requirements of Field, Journal, Etc.
● Systematic Flexibility4
Steps in Research Project1. Determine Question(s)2. Conduct Literature Review3. Determine Methodology
& Methods1. Collect Data2. Code & Analyze Data3. Determine & Write Findings4. Frame & Write Discussion
Philosophical ConsiderationsOntology
subjectivist ----------------- constructivist ----------------- objectivist
Epistemology
Axiology5
Methodologies & MethodsMethodologies● Case Studies
● Ethnographies
● Phenomenologies
● Grounded Theory
● Narratives
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Methods● Case Studies
● Ethnographic Methods
● Observations
● Interviews
● Text/Video/Picture Analysis
Theories and Frameworks● Theories
○ Formal Theories (e.g., Intersectionality Theory)
○ Tacit Theories
● Frameworks
○ Structural Framework (e.g., Transformative Framework)
○ Conceptual Framework7
SampleConceptualMaps1 of 3
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SampleConceptualMaps2 of 3
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SampleConceptualMaps3 of 3
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UC Berkeley ResourcesD-Lab● Workshops & Presentations● Working Groups & Consultants● Workspace
Institute for the Study of Societal Issues (ISSI)● Presentations● Trainings● Fellowships
Graduate School of Education (GSE)● Introduction to Qualitative Research● Advanced Qualitative Research● Year-Long Qualitative Research Seminar
School of Public Health● Introduction to Qualitative Research● Participatory Action Research (PAR)● Critical Theories in Social Science Research
African American Studies● Interdisciplinary Research Methods
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References & Reading RecommendationsParadigms of Research for the 21st Century: Perspectives & Examples from Practiceedited by A. Lukenchuk
Qualitative Inquiry & Research Design: Choosing Among Five Approachesby J. Creswell
Qualitative Data Analysis: A Methods Sourcebookby M. B. Miles, A. M. Huberman, & J. Saldaña
Qualitative Research: Bridging the Conceptual, Theoretical, & Methodologicalby S. M. Ravitch & N. Mittenfelner Carl
Qualitative Research Design: An Interactive Approachby J. Maxwell
Stanford Encyclopedia of Philosophyat plato.stanford.edu
The Coding Manual for Qualitative Researchersby J. Saldaña
Thinking Qualitatively: Methods of Mind by J. Saldaña
Other recommendations may be available based on specific areas of interest.
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Coding & AnalysisWhat are Codes? What is Coding?Coding is a way to organize data around common ideas, concepts, or categories ACROSS sources.
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Research Questions
Literature or Theory
Data
Codes
MetadataUnit of Analysis
Memos
CodingCoding&
Analysis
Sample Code Creation Process - 4+ steps in 3 timeframes
1. Prior to Data Collection1. Generation of Deductive Codes
2. During Data Collection1. Generation of Deductive Codes, cont.2. Generation of Inductive Codes
3. After Data Collection1. Generation of Inductive Codes, cont.2. Organization of Codes into Preliminary Coding Scheme3. Test Application of Preliminary Coding Scheme & Editing into “Final” Coding Scheme
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Coding & AnalysisWhat is Analysis?The process of identifying themes related to your research findings. This is different than identifying ideas/concepts/topics that come up throughout your data set. It’s “bigger picture” stuff…
○ Overarching Themes○ Subgroup Themes○ Typology Themes
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Coding&
Analysis
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AnalysisMetadata
Analysis Plan
Code/Query Output Memos
Literature or Theory
Data
Codes
Unit of Analysis
Memos
Research Questions
QDA Software as a Tool for Organization & Engagement
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What It Does● Structure Data & Codes● Code Manually & Automatically● Explore Data & Coded Segments● Memo Generally & Specifically● Create Visualizations & Summaries● Quantify Qualitative Data● Export Almost Everything
What It Does Not● Eliminate Bias● Error -Free Autocoding● Analytic Thinking● Advanced Quantitative Analysis
(MAXQDA can do some quant analysis)
Potential Benefits● Frees Time to Focus on Analysis● Can Deal with Large Data Sets● Improves Auditability● Improves Credibility
(among some audiences)
● Allows for Easy Transition to New Projects
Potential Drawbacks● Can Produce Erroneous Findings● May Create Pressure to Engage Excessive
Features &/or Use Large Data Sets● Requires Learning the Software