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Advance Educational Research
And Statistics
TOPIC: Computer Based Data Analysis
A.Arulpriya
Second year M.Ed.
What is CAQDAS ?
Stands for :
• Computer Assisted Qualitative Data Analysis
• Software packages: ‘tools to mechanize tasks of ordering
and archiving texts.. For “data administration” and
archiving rather than tools for “data analysis”.
Example:
-Atlas-ti
-Winmax
-Nvivo
-NUDIST
-Ethnograph
Nature of qualitative data
• Largely unstructured
• Mostly text – based:
-Transcribed interviews
-Transcribed discussions
-Field notes
-Other written documents
(e.g. observations and
records of meetings etc.)
Computer can be used in statistical
analysis for
• Data collection
• Data entry
• Data checking
• Data screening
• Definite analysis
• Presentation of
analysis
Use of computer software in
qualitative studies
• Transcribing data
• Writing/editing the data
• Storage of data
• Coding data(keywords or tags)
• Search and retrieval of data
• Data linking of related text
• Writing/editing memos about the
data
• Display of selected reduced data
• Graphic mapping
• Preparing reports
Advantages of computer-aided
qualitative data analysis
• Efficient, save time, assist the
management of larger
samples, good for research
teams
• Can make the research
process more systematic and
explicit, which makes it seem
more valid or trustworthy
• Can enhance the researcher’s
creativity, by allowing more
time to experiment and play
with data
Cont.….
• Organised and
controllable data set
• Support for coding
• Searching text and codes
• Support for comparative
analysis
• Models, networks and
diagrams
• Interface with
quantitative data
Limitations of computer –aided
qualitative data analysis
• Time constraints
• Can become overwhelmed
by larger samples and the
wider volume of data that
the software can technically
manage.
• Need to learn how to use
the software(and need to
buy it)
Cont.
• Distance or hinder creativity
• Machine between
researcher and data
• Limited guidance
• Selecting appropriate
programs
• Changing categories/moving
information
Computer based data analysis

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Computer based data analysis

  • 1. Advance Educational Research And Statistics TOPIC: Computer Based Data Analysis A.Arulpriya Second year M.Ed.
  • 2. What is CAQDAS ? Stands for : • Computer Assisted Qualitative Data Analysis • Software packages: ‘tools to mechanize tasks of ordering and archiving texts.. For “data administration” and archiving rather than tools for “data analysis”. Example: -Atlas-ti -Winmax -Nvivo -NUDIST -Ethnograph
  • 3. Nature of qualitative data • Largely unstructured • Mostly text – based: -Transcribed interviews -Transcribed discussions -Field notes -Other written documents (e.g. observations and records of meetings etc.)
  • 4. Computer can be used in statistical analysis for • Data collection • Data entry • Data checking • Data screening • Definite analysis • Presentation of analysis
  • 5. Use of computer software in qualitative studies • Transcribing data • Writing/editing the data • Storage of data • Coding data(keywords or tags) • Search and retrieval of data • Data linking of related text • Writing/editing memos about the data • Display of selected reduced data • Graphic mapping • Preparing reports
  • 6. Advantages of computer-aided qualitative data analysis • Efficient, save time, assist the management of larger samples, good for research teams • Can make the research process more systematic and explicit, which makes it seem more valid or trustworthy • Can enhance the researcher’s creativity, by allowing more time to experiment and play with data
  • 7. Cont.…. • Organised and controllable data set • Support for coding • Searching text and codes • Support for comparative analysis • Models, networks and diagrams • Interface with quantitative data
  • 8. Limitations of computer –aided qualitative data analysis • Time constraints • Can become overwhelmed by larger samples and the wider volume of data that the software can technically manage. • Need to learn how to use the software(and need to buy it)
  • 9. Cont. • Distance or hinder creativity • Machine between researcher and data • Limited guidance • Selecting appropriate programs • Changing categories/moving information