Methods Of Qualitative Data Analysis (1)

1
Methods Of Qualitative Data Analysis
2
Data is a source of great information which can
enable informed decision making for businesses.
Data is divided into Quantitative
Data and Qualitative Data. Qualitative data
refers to those non-numerical, explanatory data.
Herein, we will have a detailed look into the
various methods of qualitative data
analysis. What is Qualitative Data
Analysis? The process of Qualitative Data
Analysis includes analysing information or data
which aids in offering a certain level of
understanding, explanation, and aids in
interpreting the patterns and themes included in
textual data. To put it in general words,
qualitative data cannot be expressed in the form
of numbers and is often represented in words,
observations, pictures, and symbols.
3
(No Transcript)
4

• Now coming to the methods used for analyzing
  qualitative data. There exist numerous methods
  for analyzing and interpreting qualitative data.
  However, the most popular and viable methods are
  listed below which includes 4 prominent
  techniques viz.
• Content Analysis
• Narrative Analysis
• Grounded Theory Analysis
• Framework Analysis
• Discourse Analysis
• 1.Content Analysis
• This is the most popular type of qualitative
  analysis technique used by researchers. It
  primarily includes interpreting the meaning of
  data and identifying the important points in the
  content. It popularly includes analyzing the data
  published in the social media field so as to
  understand and interpret the current patterns and
  trend in social media.

5

• Key purpose includes
• Finding the important aspects of social media
  content through emails, chats, comments, business
  emails, blogs, news, etc.
• To present them in an effective manner.
• The popular techniques under these are the
  conventional, summative and directive approach.
• 2. Narrative Analysis
• This type of data analysis is used for
  interpreting different types of stories. It
  primarily aids in understanding how individuals
  form meanings in their lives so as to explain
  their day to day workings and world. A narrative
  analysis uses units like personal accounts,
  journals, autobiographical writing, letter
  writing, etc.
• Key purposes include
• Aids in connecting past with the current
  situation.
• Understanding the interpretation of events.
• Gain knowledge about people, their culture and
  changes happening.

6

• 3. Grounded Theory Analysis
• This method involves the generation of theory
  through the collection of data and its analysis.
  The primary feature of this analysis is that it
  helps in focusing on theory development. They are
  useful in interpreting a large quantity of data
  involving a large unstructured group. The key
  methods include
• Interpretation of texts
• Focus groups
• Interview with open-ended questions
• Participant observation
• 4. Framework Analysis
• This type of data analysis method is used to
  manage and organize information using the process
  of summarization. As the meaning of the word
  framework goes, it helps in categorizing the data
  into a matrix comprising of rows (cases) and
  columns (codes) and cells of summarized data.

7

• Use
• Helps in identifying similarities and differences
  in qualitative data
• Aids in drawing descriptive and explanatory
  conclusions
• 5. Discourse Analysis
• It is widely in the field of linguistics that
  lays focus on the role of language in building
  social reality. It thus deals with interpreting
  language through communication and different
  types of texts.
• Use
• Helps in exploring different texts, discourses,
  and its context
• Aids in drawing inferences

8
(No Transcript)
9
Choosing the appropriate qualitative data
analysis technique will help achieve the desired
result along with gaining a deeper understanding
of the data, its explanation and interpretation.