ศ . ดร . พันธุ์ทิพย์  รามสูต Ph.D. (Social Epidemiology) สถาบันพัฒนาสุขภาพอาเซียน มหาวิทยาลัยมหิดล การวิจัยเชิงคุณภาพ Qual...
Analysis <ul><li>A process of </li></ul><ul><li>-  making sense of </li></ul><ul><li>-  organizing </li></ul><ul><li>-  in...
The process of analysis <ul><li>Collection of adequate & Appropriate data </li></ul><ul><li>Creativity in data analysis </...
Cognitive process <ul><li>Comprehending </li></ul><ul><li>Synthesizing (decontextualizing) </li></ul><ul><li>Theorizing </...
1) Comprehending <ul><li>Theory  - suspend </li></ul><ul><li>  - template  </li></ul><ul><li>Making sense of data </li></u...
2) Synthesizing <ul><li>getting a feel </li></ul><ul><li>sifting - critical factors </li></ul><ul><li>Interparticipant ana...
3) Theorizing <ul><li>sorting phase </li></ul><ul><li>active, continuous, rigorous process </li></ul><ul><li>constant deve...
4) Recontextualizing <ul><li>generalize into different settings </li></ul><ul><li>new context </li></ul><ul><li>usefulness...
ทฤษฎีหรือแนวคิด (Theory or concept) กรรมวิธีการศึกษา (Methods) การสังเกตการณ์ (Observation) สมมติฐาน (Hypotheses) การสรุปส...
Inductive process <ul><li>Emerging of research findings </li></ul><ul><li>Reducing to a brief format </li></ul><ul><li>Est...
Data preparation <ul><li>Data   textual narrative  </li></ul><ul><li>-  transcribed interview </li></ul><ul><li>- field no...
Process of data analysis <ul><li>Get to know the data </li></ul><ul><li>-  line by line reading </li></ul><ul><li>-  highl...
<ul><li>Categerize information </li></ul><ul><li>-  identify themes/patterns </li></ul><ul><li>-  organize into coherent c...
Thematic analysis <ul><li>c ommon threads </li></ul><ul><li>abstract – concept indicated </li></ul><ul><li>read / reread <...
Content analysis / (Question analysis) <ul><li>by topic </li></ul><ul><li>read entire interview </li></ul><ul><li>identify...
Reliability & Validity <ul><li>Apparent validity </li></ul><ul><li>Instrumental  Validity </li></ul><ul><li>Theoretical va...
ชนิดของ ข้อมูล ประเภท ของเหตุการณ์ ( อะไร ) พฤติกรรม การกระทำ ( อะไรและ อย่างไร ) กิจกรรม ( ใคร ) การมี ส่วนร่วม ( อย่างไร...
Drawback : <ul><li>Data collection is labor - intensive process. </li></ul><ul><li>Vast amounts of accumulate papers +  ma...
<ul><li>Analysis  - not easy  </li></ul><ul><li>- Required systematic, </li></ul><ul><li>formalized and comparable </li></...
Tips for analysing <ul><li>Self memos : key points, ideas </li></ul><ul><li>Avoid generalizing </li></ul><ul><li>Use quote...
Thank you
 
 
Upcoming SlideShare
Loading in...5
×

Quantitive Research 2

487

Published on

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
487
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
4
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Quantitive Research 2

  1. 1. ศ . ดร . พันธุ์ทิพย์ รามสูต Ph.D. (Social Epidemiology) สถาบันพัฒนาสุขภาพอาเซียน มหาวิทยาลัยมหิดล การวิจัยเชิงคุณภาพ Qualitative Research
  2. 2. Analysis <ul><li>A process of </li></ul><ul><li>- making sense of </li></ul><ul><li>- organizing </li></ul><ul><li>- interpreting </li></ul><ul><li>Simultaneously c data collection </li></ul><ul><li>data collection data saturation </li></ul><ul><li>start end </li></ul><ul><li>data analysis </li></ul>
  3. 3. The process of analysis <ul><li>Collection of adequate & Appropriate data </li></ul><ul><li>Creativity in data analysis </li></ul>
  4. 4. Cognitive process <ul><li>Comprehending </li></ul><ul><li>Synthesizing (decontextualizing) </li></ul><ul><li>Theorizing </li></ul><ul><li>Recontextualizing </li></ul>
  5. 5. 1) Comprehending <ul><li>Theory - suspend </li></ul><ul><li> - template </li></ul><ul><li>Making sense of data </li></ul><ul><li>Intraparticipant microanalysis </li></ul>
  6. 6. 2) Synthesizing <ul><li>getting a feel </li></ul><ul><li>sifting - critical factors </li></ul><ul><li>Interparticipant analysis </li></ul><ul><li>Commonality sorting </li></ul>
  7. 7. 3) Theorizing <ul><li>sorting phase </li></ul><ul><li>active, continuous, rigorous process </li></ul><ul><li>constant development & manipulation </li></ul><ul><li>identify beliefs, values </li></ul><ul><li>emic-etics, macro-micro linkage </li></ul><ul><li>lateral thinking </li></ul><ul><li>systematic-inductive </li></ul>
  8. 8. 4) Recontextualizing <ul><li>generalize into different settings </li></ul><ul><li>new context </li></ul><ul><li>usefulness, implicatious </li></ul>
  9. 9. ทฤษฎีหรือแนวคิด (Theory or concept) กรรมวิธีการศึกษา (Methods) การสังเกตการณ์ (Observation) สมมติฐาน (Hypotheses) การสรุปสาระจากข้อเท็จจริง (Empirical generalization) การสรุปแบบนิรนัย (Logical induction) การให้คำจำกัดความ เพื่อทดสอบและการสร้างเครื่องมือ (Operationalization & Instrumentation) การสรุปแบบอุปนัย (Logical deduction) มาตรา & การวัด (Sealing and measurement)
  10. 10. Inductive process <ul><li>Emerging of research findings </li></ul><ul><li>Reducing to a brief format </li></ul><ul><li>Establishing relationship </li></ul><ul><li>(obj. – findings) </li></ul><ul><li>Developing the model/theory </li></ul>
  11. 11. Data preparation <ul><li>Data textual narrative </li></ul><ul><li>- transcribed interview </li></ul><ul><li>- field notes </li></ul><ul><li>- reflections, ideas, conjectures (diary) </li></ul><ul><li>Collecting & keeping record </li></ul><ul><li>Back up </li></ul><ul><li>Transcribing (word by word), quote </li></ul><ul><li>Checking, highlighting </li></ul>
  12. 12. Process of data analysis <ul><li>Get to know the data </li></ul><ul><li>- line by line reading </li></ul><ul><li>- highlighting the key words </li></ul><ul><li>- taking notes, comments </li></ul><ul><li>- re - read </li></ul><ul><li>Focus the analysis </li></ul><ul><li>- identify the key questions </li></ul><ul><li>- explore the relationship between question </li></ul>
  13. 13. <ul><li>Categerize information </li></ul><ul><li>- identify themes/patterns </li></ul><ul><li>- organize into coherent categories </li></ul><ul><li>- connection (within, between) </li></ul><ul><li>- synthesize </li></ul><ul><li>- interprete </li></ul><ul><li>- conclusion </li></ul><ul><li>- verification </li></ul>
  14. 14. Thematic analysis <ul><li>c ommon threads </li></ul><ul><li>abstract – concept indicated </li></ul><ul><li>read / reread </li></ul><ul><li>step back, reflection </li></ul><ul><li>memo – general </li></ul><ul><li>summarize </li></ul>
  15. 15. Content analysis / (Question analysis) <ul><li>by topic </li></ul><ul><li>read entire interview </li></ul><ul><li>identify topics </li></ul><ul><li>category labels (broad-minimum) </li></ul><ul><li>develop tree diagram (saturated) </li></ul><ul><li>write descriptive paragraphs </li></ul><ul><li>relate between categories </li></ul>
  16. 16. Reliability & Validity <ul><li>Apparent validity </li></ul><ul><li>Instrumental Validity </li></ul><ul><li>Theoretical validity </li></ul><ul><li>Internal validity credibility (truth value) </li></ul><ul><li>External validity (fittingness) </li></ul><ul><li>Reliability </li></ul><ul><li>- auditability </li></ul><ul><li>- confirmability </li></ul>
  17. 17. ชนิดของ ข้อมูล ประเภท ของเหตุการณ์ ( อะไร ) พฤติกรรม การกระทำ ( อะไรและ อย่างไร ) กิจกรรม ( ใคร ) การมี ส่วนร่วม ( อย่างไร ) ความ สัมพันธ์ ( ที่ไหน ) สภาพ สังคม ( ทำไม ) ความหมาย Analysis of observational data
  18. 18. Drawback : <ul><li>Data collection is labor - intensive process. </li></ul><ul><li>Vast amounts of accumulate papers + materials. (field notes, interview materials (tapes) “ Data overload ” </li></ul><ul><li>“ Data overload ” is compounded by a number of investigating teams. </li></ul>
  19. 19. <ul><li>Analysis - not easy </li></ul><ul><li>- Required systematic, </li></ul><ul><li>formalized and comparable </li></ul><ul><li>way for different types of </li></ul><ul><li>data collection. </li></ul><ul><li>- No/or few guideline to assist. </li></ul>
  20. 20. Tips for analysing <ul><li>Self memos : key points, ideas </li></ul><ul><li>Avoid generalizing </li></ul><ul><li>Use quote to support </li></ul><ul><li>Address limitation/alternatives </li></ul><ul><li>Thoughtful & enjoy </li></ul>
  21. 21. Thank you
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×