This document discusses qualitative data analysis (QDA) procedures and types. It outlines the 5 main steps of QDA: 1) organize data, 2) identify a framework, 3) sort data into the framework, 4) use the framework for descriptive analysis, and 5) conduct second order analysis. It also describes common types of QDA like content analysis, narrative analysis, and discourse analysis. Finally, it lists some commonly used computer software for assisting with QDA tasks like coding, data storage, and reporting.
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QDA Methods and Analysis Types
1. Data Analysis Procedure and
Types of Quality Data Analysis
Mohammad Aslam Shaiekh
Master of Public Health (MPH)
2. Contents
Introduction of qualitative data analysis.
Procedure of qualitative data analysis
Types of qualitative data analysis.
List of Computer software in qualitative
data analysis.
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3. QDA
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, feelings, opinion, behavior,
perceptions, ideas or interpretation of the 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
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4. Tools for helping the QDA process
Summaries: Should contain the key points
that emerge from undertaking the specific
activity
Self Memos: Allow you to make a record
of the ideas which occur to you about any
aspect of your research, as you think of
them
Researcher Diary
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6. Procedures of QDA
Step 1: Organize the data
Step 2: Identify framework
Step 3: Sort data in to framework
Step 4: Use the framework for descriptive
analysis
Step 5: Second order analysis
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7. Step 1: Organize the data
Transcribe the data (you can use hyper
TRANSCRBE software)
Translate the data (You can use language
translation software like SYSTRAN)
Data cleaning
Label the data
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8. Step 2: Identify framework
Read, Read, Read...
Identify a Framework – should be
Explanatory (explain) –Guided by the
research question
Exploratory (New identify) -Guided by the
data
Framework will structure, label and define
data
Framework=Coding plan
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9. Step 3: Sort data in to framework
Code the data
Modify the Framework
Data entry if use computer packages
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10. Step 4: Use the framework for
descriptive analysis
Descriptive analysis
Range of responses in categories
Identify recurrent themes
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11. Step 5: Second order analysis
Identify recurrent themes
Notice patterns in the data
Identify respondent clusters
Build sequence of events
Search data to answer research questions
Develop hypothesis and test
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12. Types of QDA
Content analysis
Narrative analysis
Discourse analysis
Framework analysis
Grounded theory
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13. Content Analysis
Content analysis is the procedure for the
categorization of verbal or behavioral data
for the purpose of classification,
summarization and tabulation
The content can be analyzed on two levels
Descriptive:What is the data?
Interpretative: what was meant by the data?
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14. Narrative analysis
Narratives are transcribed experiences
Every interview/observation has narrative
aspect-the researcher has to sort-out and
reflect up on theme/story, enhance them, and
present them in a revised shape to the reader
The core activity in narrative analysis is to
reformulate stories presented by people in
different contexts and based on their different
experiences
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15. Discourse (Discussion) analysis
A method of analyzing a naturally occurring talk (spoken
interaction) and all types of written texts
Focus on ordinary people method of producing and making
sense of everyday social life: How language is used in everyday
situations?
Sometimes people express themselves in a simple and
straightforward way
Sometimes people express themselves vaguely and indirectly
Analyst must refer to the context when interpreting the
message as the same phenomenon can be described in a
number of different ways depending on context
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16. Framework Analysis
Familiarization:Transcribing & reading the data
Identifying a thematic framework: Initial coding
framework which is developed both from a priori
issues and from emergent issues
Coding: Using numerical or textual codes to identify
specific piece of data which correspond to different
themes
Charting: Charts created using headings from
thematic framework (can be thematic or by case)
Mapping and interpretation: Searching for patterns,
associations, concepts and explanations in the data
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17. Strategies for analyzing observations
Chronology: describe what was observed
chronologically overtime, to tell the story from the
beginning to the end
Key events: describing critical incidents or major
events, not necessarily in order of occurrence but in
order of importance
Various settings: describe various places, sites, settings,
or locations in which events/behaviors of interest
happen
People: describing individuals or groups involved in the
events
Process: describing important processes (e.g. Control,
recruitment, decision-making, socialization,
communication)
Issues: Illuminating key issues –how did participants
change
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18. Uses of computer software in QDA
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
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19. Common qualitative softwares
Atlas ti 6.0 (www.atlasti.com)
Hyper RESEARCH 2.8
(www.researchware.com )
Max QDA (www.maxqda.com )
The Ethnograph 5.08
QSR N6 (www.qsrinternational.com )
QSR Nvivo (www.qsrinternational.com )
Weft QDA (www.pressure.to/qda )
Open code 3.4 (www.8.umu.se )
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