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Qualitative Data Analysis
Upendra Raj Dhakal
Lecturer: Valley College of Technical Sciences
urdhakal@gmail.com
Common Types of Data Analysis
• Based on nature and objectives, there are six common methods of
qualitative data analysis technique
• Thematic Analysis
• Content Analysis
• Grounded Analysis
• Discourse Analysis
• Narrative Analysis
• Phenomenology/Heuristic Analysis
Feedback welcomed (Draft version 1.1) 2
Thematic Analysis and steps
• Commonly used and foundation
method for qualitative data analysis
• We use it to show clear picture of
theme
• Eg:
Familiarizing
with data
• Frequent reading
Generate
initial codes
• Inducting codes
Organization
of codes
• Based on similarity
Organization
of codes
• Searching for themes
Organization
of codes
• Reviewing themes
Organization
of codes
• Defining and naming themes
Codes
Active
Willing
Accountable
Responsible
Motivated
Themes
Individual participation
Feedback welcomed (Draft version 1.1) 3
Content Analysis and steps
• This method determines the apparent of certain words or concepts within the
text
• Than it emerges categories or themes based on selection of words inductively
• Frequency of words, patterns, sequence of occurrence of those words
• Eg: Study about students needs, University’s Facebook page content analysis
Initial Codes Counts/Occurrence Themes
Social interaction 201
Non Academic needs
Financial issues 45
Meet ups 11
Swimming pool 12
Access to journals and books 109 Academic needs
Feedback welcomed (Draft version 1.1) 4
Confusion between TA and CA
Feedback welcomed (Draft version 1.1) 5
Grounded analysis and steps
• It is aka constant comparison analysis
• It is very deep and detailed
• Here we don’t start with definite point, we allow data to speak as its
purpose is to formulate theory or a framework
• We conduct different interviews, write detailed diaries and field
notes/memos, documents, pictures and compare codes and do initial
coding
• After initial coding we see consistencies and differences between sources
• Than, we find important events, persons, important situations to emerge
themes
Feedback welcomed (Draft version 1.1) 6
Discourse Analysis
• This sees the linguistic analysis of flow of communication
• This also takes into account, the social context where communition
occurs
• It is more focused in grammar, sounds, parts of words and their
meaning
• eg: Women like both, to give and get compliments. In some culture,
accepting gifts means accepting the proposal, however in other
cultures accepting gifts simply means complementing someone
Feedback welcomed (Draft version 1.1) 7
Narrative Analysis
• This analysis examines how participants construct their stories, based
on personal experiences.
• It includes: personal story, entire life story, significant events and
situations
• We identify non verbal expressions: pauses, filler – words, and all non
verbal signs and gestures
• It includes:
Ending of
story
Outcome of
story
Storyteller’s
reflection
Sequence of
events
Orientation
time, place
characters
Abstract of
story
Feedback welcomed (Draft version 1.1) 8
Phenomenology/Heuristic Analysis
• Focuses on how human experience or view the world
• This method emphasizes out on bracketing out (excluding)
researchers own role and only focusing on participants experiences.
• Eg: If we want to investigate teaching experience from teachers point
of view, and build analysis on their personal experiences, than it
would be Heuristic Analysis
Feedback welcomed (Draft version 1.1) 9
Thank You
Feedback welcomed (Draft version 1.1) 10

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Qualitative Data Analysis

  • 1. Qualitative Data Analysis Upendra Raj Dhakal Lecturer: Valley College of Technical Sciences urdhakal@gmail.com
  • 2. Common Types of Data Analysis • Based on nature and objectives, there are six common methods of qualitative data analysis technique • Thematic Analysis • Content Analysis • Grounded Analysis • Discourse Analysis • Narrative Analysis • Phenomenology/Heuristic Analysis Feedback welcomed (Draft version 1.1) 2
  • 3. Thematic Analysis and steps • Commonly used and foundation method for qualitative data analysis • We use it to show clear picture of theme • Eg: Familiarizing with data • Frequent reading Generate initial codes • Inducting codes Organization of codes • Based on similarity Organization of codes • Searching for themes Organization of codes • Reviewing themes Organization of codes • Defining and naming themes Codes Active Willing Accountable Responsible Motivated Themes Individual participation Feedback welcomed (Draft version 1.1) 3
  • 4. Content Analysis and steps • This method determines the apparent of certain words or concepts within the text • Than it emerges categories or themes based on selection of words inductively • Frequency of words, patterns, sequence of occurrence of those words • Eg: Study about students needs, University’s Facebook page content analysis Initial Codes Counts/Occurrence Themes Social interaction 201 Non Academic needs Financial issues 45 Meet ups 11 Swimming pool 12 Access to journals and books 109 Academic needs Feedback welcomed (Draft version 1.1) 4
  • 5. Confusion between TA and CA Feedback welcomed (Draft version 1.1) 5
  • 6. Grounded analysis and steps • It is aka constant comparison analysis • It is very deep and detailed • Here we don’t start with definite point, we allow data to speak as its purpose is to formulate theory or a framework • We conduct different interviews, write detailed diaries and field notes/memos, documents, pictures and compare codes and do initial coding • After initial coding we see consistencies and differences between sources • Than, we find important events, persons, important situations to emerge themes Feedback welcomed (Draft version 1.1) 6
  • 7. Discourse Analysis • This sees the linguistic analysis of flow of communication • This also takes into account, the social context where communition occurs • It is more focused in grammar, sounds, parts of words and their meaning • eg: Women like both, to give and get compliments. In some culture, accepting gifts means accepting the proposal, however in other cultures accepting gifts simply means complementing someone Feedback welcomed (Draft version 1.1) 7
  • 8. Narrative Analysis • This analysis examines how participants construct their stories, based on personal experiences. • It includes: personal story, entire life story, significant events and situations • We identify non verbal expressions: pauses, filler – words, and all non verbal signs and gestures • It includes: Ending of story Outcome of story Storyteller’s reflection Sequence of events Orientation time, place characters Abstract of story Feedback welcomed (Draft version 1.1) 8
  • 9. Phenomenology/Heuristic Analysis • Focuses on how human experience or view the world • This method emphasizes out on bracketing out (excluding) researchers own role and only focusing on participants experiences. • Eg: If we want to investigate teaching experience from teachers point of view, and build analysis on their personal experiences, than it would be Heuristic Analysis Feedback welcomed (Draft version 1.1) 9
  • 10. Thank You Feedback welcomed (Draft version 1.1) 10