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Qualitative Data
• As the name qualitative itself suggests that it is related to the quality
of an object/thing.
• It is obvious that quality cannot be measured numerically in exact
terms.
• Thus, if the characteristic/attribute under study is such that it is
measured only on the bases of presence or absence then the data
thus obtained is known as qualitative data.
• Generally nominal and ordinal scales are used as a measurement
of scale in case of qualitative data.
• Data based on the following characteristics generally gives qualitative
data - gender, marital status, qualification, colour, religion,
satisfaction, types of trees, beauty, honesty, etc.
Example of Qualitative Data
i. If the characteristic under study is gender then objects
can be divided into two categories, male and female.
ii. If the characteristic under study is marital status then
objects can be divided into four categories married,
unmarried, divorcee, widower.
iii. If the characteristic under study is qualification (say)
‘matriculation’ then objects can be divided into two
categories as ‘Matriculation passed’ and ‘not passed’.
iv. If the characteristic under study is ‘colour’ then the
objects can be divided into a number of categories
Violet, Indigo, Blue, Green, Yellow, Orange and Red.
Reference
STEPS OF CASE STUDY METHOD. Retrieved From:
https://www.tutorialspoint.com/statistics/dc_case_study_method.htm#:~:text
Kothari, C. R. (2004). Research methodology: Methods and techniques. New
Age International.
Bodla, B. S. INTRODUCTION TO RESEARCH METHODOLOGY.
DIRECTORATE OF DISTANCE EDUCATION, GURU JAMBHESHWAR
UNIVERSITY OF SCIENCE & TECHNOLOGY, HISAR.

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Qualitative Techniques of Data Collection - Survey, Observation, Depth Interview, Case Study and Focus Group Discussion

  • 1.
  • 2. Qualitative Data • As the name qualitative itself suggests that it is related to the quality of an object/thing. • It is obvious that quality cannot be measured numerically in exact terms. • Thus, if the characteristic/attribute under study is such that it is measured only on the bases of presence or absence then the data thus obtained is known as qualitative data. • Generally nominal and ordinal scales are used as a measurement of scale in case of qualitative data. • Data based on the following characteristics generally gives qualitative data - gender, marital status, qualification, colour, religion, satisfaction, types of trees, beauty, honesty, etc.
  • 3. Example of Qualitative Data i. If the characteristic under study is gender then objects can be divided into two categories, male and female. ii. If the characteristic under study is marital status then objects can be divided into four categories married, unmarried, divorcee, widower. iii. If the characteristic under study is qualification (say) ‘matriculation’ then objects can be divided into two categories as ‘Matriculation passed’ and ‘not passed’. iv. If the characteristic under study is ‘colour’ then the objects can be divided into a number of categories Violet, Indigo, Blue, Green, Yellow, Orange and Red.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23. Reference STEPS OF CASE STUDY METHOD. Retrieved From: https://www.tutorialspoint.com/statistics/dc_case_study_method.htm#:~:text Kothari, C. R. (2004). Research methodology: Methods and techniques. New Age International. Bodla, B. S. INTRODUCTION TO RESEARCH METHODOLOGY. DIRECTORATE OF DISTANCE EDUCATION, GURU JAMBHESHWAR UNIVERSITY OF SCIENCE & TECHNOLOGY, HISAR.