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Qda 2013 ces toronto workshop

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Reed Early's presentation on Qualitative Data Analysis from the Professional Development Workshops June 9 - see matched PPTX and DOCX files.

Reed Early's presentation on Qualitative Data Analysis from the Professional Development Workshops June 9 - see matched PPTX and DOCX files.

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  • 1. Reed EarlyIndependent consultantJune 9, 2013 Toronto
  • 2. Part 1 QDA MethodsOutcomes – learners understand the originand current practice of QDA methods ingeneral, grounded theory in particular, andpossible applications of the methods.
  • 3. 1. Methodsa. useful for inductive researchb. useful in naturalistic inquiryc. qualitative methods growingconsensusd. collection ↔ analysis ↔ collection
  • 4. 2. Qualitative Data (QD)a. openb. exploratoryc. useful when questions not yet definedd. allows insights
  • 5. 3. Overview of QDA
  • 6. 4. QDA cycle
  • 7. 5. overview of process
  • 8. 6. Work plan of researchprocess
  • 9. 7. Characteristics of QDAa. constructivist - many meaningsb. context bound i.e. “cast of thousands"c. uses inflection i.e. "THIS was good."d. can be sorted in many wayse. QD by itself has meaning i.e “apple”
  • 10. 8. Sources of QDa. interviewsb. focus Groupsc. field observations (GPS data)d. survey commentse. historical recordsf. secondary datag. photos, paintings, songs...
  • 11. 9. Types of QDa. structured text writings, stories, surveycomments, news articles, books etcb. unstructured text transcription, open interviews, focusgroups, conversationc. audio recordings, as above, musicd. visual recordings, graphics, art, picturese. location specific data Google Earth, GPS
  • 12. 10. Principles of QDAa. Data entry (gathering)b. Comprehending (immersion)c. Synthesizing (sifting)d. Theorizing (sorting)e. Re-Contextualizing (emerging theory)
  • 13. 11. Data entry (analogous demo)a. not easily mechanizedb. important part of processc. often done by analystd. concurrent with analysise. transcribe thoroughly, ASAPf. write memos (reflect)g. coding (start with few)
  • 14. 12. Comprehending (immersion)a. begin while entering datab. start QDA immediatelyc. “live with it”d. line by line examinatione. create new questions for collection
  • 15. 13. Synthesizing (sifting)“quotes” (decontextualize)a. use inductive categoriesb. find common threadsc. compare transcriptsd. aggregate stories
  • 16. 14. Theorizing (sorting) “coding”a. ask questions of the datab. find alternative explanationsc. allow sufficient timed. be open to insights
  • 17. 15. Re-Contextualizinga. develop theoretical “elegance”b. apply to other settingsc. examine fit to literature/researchd. describe emerging theory
  • 18. 16. Data Management Principlesa. stay close to the datab. be sensitive to emergent theoryc. allow recontextualizingd. it is a non-linear process
  • 19. 17. QDA method options – everydayanaloguesContent Analysis - like movie ratings by thecensorship bdGrounded Theory – like a mystery solvedby ordinary citizensMatrix Analysis – like a map’s matrix ofcampsite servicesPhenomenology – like a moviedocumentary
  • 20. 18. Displaying results(computer methods)display code frequencies and charts (in QDA Miner)Code Count % Codes Cases % Case1.1 Defines Mgmt Structure, Roles, Resp 36 1.20% 21 5.30%1.1 Framework Contents 42 1.40% 23 5.80%1.1 Key People Involved 119 3.90% 59 14.80%1.1 Lines of Authority 46 1.50% 26 6.50%1.2 Approval and Endorsement 25 0.80% 17 4.30%1.2 Key Elements of Strategic Plan Exist 72 2.40% 36 9.00%1.2 Plan Communicated 55 1.80% 26 6.50%1.2 Plan Updated 18 0.60% 14 3.50%
  • 21. Exercise 1: Quotes, Codes & Memos
  • 22. 19. Grounded Theorya. Primary documents (comprehending)immerse in the primary documentsbegin as data are collectedread/view/listen to the data
  • 23. b. Quotations (synthesizing)select and mark salient quotations/passagescompare each line to other data
  • 24. c. Coding (theorizing)assign codes in margingroup, sort, categorize codes into familiescollect new data based on emerging theory,memos, codes
  • 25. d. Memos (aids in allprocesses)record insights on memos or post-it notes ie:ideas for emerging theories, thematic ideas,linked memos(Exercise 1)
  • 26. e. Network (re-contextualize)create network (mind map)add and arrange network nodes• (quotes, memos and codes)collect more data as needed(Exercise 2)
  • 27. f. Generate theoryMake a matrix of themes (rows) by roles (cols)Fill in cells with either a selected quote or “*” toindicate missing data.Look for patterns, empty cells, areas ofconvergence.Generate an explanation and provide a shortquote to support your "theory". (optionalExercise)
  • 28. Exercise 2: Grounded Theory and NetworkMapping
  • 29. 20. Methods Matched to Type ofDataa. structured textcontent and matrix analysis etcb. unstructured text i.e. narratives, open interviewsphenomenology, grounded theory etcc. audio i.e. interviews, anecdotes, “stories”, musicmatrix analysis, grounded theory etcd. visuali.e. graphics, art, picturesmatrix analysis, grounded theory etc
  • 30. 21. Methods Matched toPrinciple Taska. describecontent analysis …b. explain / predictmatrix analysis …c. derive new ideas and insightsphenomenology …d. test significancematrix analysis, quantitative …e. map theoretical relationgrounded theory, mapping …
  • 31. run crosstab (matrix) codes andvariables (QDA Miner)ProjAProjBProjCTime1Time2Time 3Chi-squareP valuefinding 1.1.x 2 1 3 9.924 0.357finding 1.2.x 1 9 1 2 17.447 0.042finding 1.3.x 1 5 1 10.624 0.302finding 1.4.x 1 2 12 4 2 41.016 0finding 2.1.x 3 1 2 1 20.759 0.014finding 2.2.x 1 2 2.13 0.989finding 2.3.x 20 2 1 3 4 2 16.514 0.057Risks 6 2 2 17 4 4 33.709 0BestPractices4 1 1 3 6 4 49.178 0
  • 32. Alternate Exercise: Theorizing UsingMatrix Analysis
  • 33. Code network map (Atlas-ti)
  • 34. Code Network MapMulti-Dimensional Scaling (QDA MinerConcept Systems)
  • 35. Q&A Questions and answers
  • 36. 23. Some QDA Methodsmatched to Software1. Content AnalysisWord, QDA Miner, Excel, Atlas-ti2. Matrix analysisNVivo, QDA Miner3. Grounded Theory MappingAtlas-ti, QDA Miner4. Phenomenology - using mind mapsInspiration, Visio5. Concept MappingConcept Systems, QDA Miner
  • 37. 24. QDA softwareQDA Miner inclWordStat-SimStat (Provalis, CAN)Atlas-ti Scientific Software (GER)NVivo (QSR, AU)Inspiration (USA)Concept Mapping (Concept Systems USA)MS Excel, SPSS (USA)
  • 38. HandoutsHandout 1. Summary of Manual and Software QualitativeMethodsHandout 2. Website, Software and Internet ResourcesThe above and these slides are available athttp://www3.telus.net/reedearly/shared/
  • 39. Don’t forget the workshop evaluation…rearly@telus.nethttp://www3.telus.net/reedearly/shared/

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