Qualitative data management for all researcher
- 1. Qualitative Data Documentation Management Analysis and Report Writing Dr. A. K. M. Dawlat Khan, PhD Institute of Epidemiology, Disease Control and Research (IEDCR) [email protected] 01712-171214
- 3. Discussion topics Qualitative data Qualitative data documentation management and analysis
- 5. What is qualitative data? Data that are related to concepts, opinions, values and behaviours of people in social context Transcripts of individual interviews and focus groups, field notes from observation of certain activities, copies of documents, audio/video recordings..
- 6. Types of Qualitative Data Structure text (writings, stories, survey comments, news articles, books, etc) Unstructured text ( transcription, interviews focus group, conversion) Audio recording, music Video recordings (graphics, art, pictures, visuals)
- 7. Voice Recorder Camera(Photo and Video) Notebook/diary Voice Recorder verses Notebook/diary Data Documentation
- 8. Qualitative data management and analysis
- 9. What is qualitative data analysis? Qualitative Data Analysis (QDA) is the range of processes and procedures whereby we move from the qualitative data that have been collected into some form of explanation, understanding or interpretation of people and situations we are investigating. QDA is usually based on an interpretative philosophy. The idea is to examine the meaningful and symbolic content of qualitative data.
- 10. The process of qualitative data analysis Organize the data Identify Framework Sort data in to framework Use the framework for descriptive analysis Second order analysis
- 11. Step 1: Organize the data Transcribe the data Translate the data Data cleaning Label the data
- 12. Data Transcription Data Transcription B › U v i w f D q v i G i b v g : † ` Š j Z L v b | U ª v Ý µ v B ev i G i b v g : kv w n b A v ³ v i R v g v b | A v B w W b s : IDI-Forida-Chatalpar-Comp-Dawlat 30.06.2012 m g q : 1 3.41 cÖ : Av cbv i bv g w K Av cv? D : dw i ` v | cÖ : eqmK‡ Zvn ‡ e Av cbv i ? D : eqmw K i ‡ Kv g n ‡ ev ,Av gv i ev ‡ n R v ‡ b w K i Kg n ‡ ev | m v Zv k n ‡ ev | cÖ : Av ? D : û cÖ : m v Zv k, GG gw b Av cbv i † q † j Lv covK‡ Zv` y i ? D : ‡ j LvcovKi w Q j v g w Î ch© šÍci w Q j v g| cÖ : w Î ch© šÍw _ªcv k K‡ i b bv B ? D : Ki w Q |
- 13. Data labeling and backup Data labeling ◼ IDI-Forida-Chatalpar-Comp-Dawlat 30.06.2012 ◼ IDI-Khalida-Aherkandi-Gain-Farida 28.06.2012 Data backup Adolescent Nutrition Recorded Interview ◼ IDI-Forida-Chatalpar-Comp-Dawlat 30.06.2012 ◼ IDI-Khalida-Aherkandi-Gain-Farida 28.06.2012 Adolescent Nutrition Recorded Interview_backup ◼ IDI-Forida-Chatalpar-Comp-Dawlat 30.06.2012 ◼ IDI-Khalida-Aherkandi-Gain-Farida 28.06.2012 Data management Cont…
- 14. Step 2: identify a Framework Read, Read, Read… Identify a framework Explanatory- Guided by the research question Exploratory- Guided by the data Framework will structure, label and define data Framework=Coding plan
- 15. Step 3: Sort data into a Framework Code the data Modify the Framework Data entry if use computer packages
- 16. Step 4: Use Framework in descriptive analysis Descriptive analysis Range of response in categories Identify recurrent themes Stop here if exploratory research
- 17. Step 5: Second order analysis Identify recurrent themes Notice patterns in the data Identify respondent clusters Search for causality Identify related themes Build sequence of events Search data to answer the research questions Develop hypothesis and test