Data Analysis: A Grounded Theory Approach - PowerPoint PPT Presentation

About This Presentation
Title:

Data Analysis: A Grounded Theory Approach

Description:

( code quickly) Warning! Be careful with the language of intention, motivation, strategy ... Move quickly through the data ... Moving along quickly to focused coding' ... – PowerPoint PPT presentation

Number of Views:253
Avg rating:3.0/5.0
Slides: 18
Provided by: coursesIs8
Category:

less

Transcript and Presenter's Notes

Title: Data Analysis: A Grounded Theory Approach


1
Data Analysis A Grounded Theory Approach
  • INFO 272. Qualitative Research Methods

2
The Iterative Model
1) research topic/questions
2) corpus construction
3) data gathering
Field work
4) analysis
4) more analysis
Desk work
5) write-up
3
From Analysis to Write up
5) draft writing
4) memo-writing
3) theoretical coding
Granularity
2) focused coding
1) Initial coding
4
Grounded Theory
  • Constructing analytic codes and categories from
    data
  • Simultaneous involvement in data collection and
    analysis (or very rapid iteration)
  • Sampling aimed toward theory construction
  • Lit review after analysis

5
Coding
  • is attaching labels to segments of data that
    depict what each segment is about
  • is the bones of your analysis
  • forces you to interact with your data (again and
    again)

6
Coding Key concepts
  • Granularity varies
  • Word-by-word, line-by-line, incident-to-incident
  • observational data vs. interviews
  • Ideas, categories, concepts must earn their way
    into your analysis
  • in vivo codes (close attention to language)
  • Constant comparative method
  • Are provisional! (code quickly)

7
Warning!
  • Be careful with the language of intention,
    motivation, strategy
  • Dont impute
  • Treat social reality as what is apparent,
    presented to you (not underlying, secret motives)

8
What does coding do to data?
  • Condenses
  • Disaggregates

9
  • Remain open
  • Stay close to the data
  • Keep codes simple and precise
  • Construct short codes
  • Preserve actions gerunds i.e. shifting,
    interpreting, avoiding, predicting
  • Compare data with data
  • Move quickly through the data

1) Initial coding
10
  • Take most frequent and analytically interesting
    codes from the initial coding
  • Tying emerging concepts to the data (verification
    process)

2) focused coding
1) Initial coding
11
Timesavers and Shortcuts
  • Moving along quickly to focused coding
  • Do initial coding on a selection of the data
    (the early data, the most rich material)
  • Software (for searching especially) NVivo or
    even MS OneNote

12
After Coding Some Heuristics
  • Sorting and Diagramming
  • Concept charting
  • Flow diagrams
  • Lofland and Lofland and Charmaz have many
    suggestions

13
Memo-Writing
  • Transitioning between codes and write up
  • Could be blog entries

14
An Example
15
Henry If your original idea was if the target
group was women, the poor women, why werent
these phones strictly earmarked for them? Jenna
I dont know cause there was someone I talked to
who was talking about how great it was that 80
of village phone operators are women Henry The
operators were women but they were not the
owners. Henry Here in Uganda the owners most of
the owners were men actually 90 of the phones
were owned by men Jenna So they were making
themselves small amounts, but big profits were
going to the owners?...women were not the
entrepreneurs? Julius And even men, men who
bought them, women who had them as closest to
being owners its their husbands who facilitated
them.
16
Diagramming
Phone Gifting and Sharing
17
A Coding Exercise
Write a Comment
User Comments (0)
About PowerShow.com