Data analysis in qualitative research

Data analysis in qualitative research

1. Verification of the theory

2. Glasser y Strauss

   • Judge credibility

3. Data analysis

   • stages
     • first
       • discovery
     • second
       • encoding data obtained
     • third
       • understanding of data

4. qualitative studies

   • give meaning, combine intuition and familiarity to data
   • Encodes, develops and refines the data
     • mode to encrypt data
       • 1. develop coding categories
       • 2. encode all data
       • 3. Separate the data into different categories
       • 4. Review the data that are more than enough
       • 5. Refine analysis
       • 6. conclusion based on judgments

5. Relativization

   • interpret the data according to the context in which they were collected
     • Compare statements
     • Be alert to what the people said
     • We can find direct and indirect data

6. Construction of life stories

   • description of events
   • experiences should illuminate the social features
   • Intimate knowledge of data
   • combine experiences to produce a coherent document

7. There are different ways to do research

   • each event has a place, time and way to perform, so that it can be studied

8. Different theories in the social sciences

   • Positivism of Auguste Comte (1896) and Emile Durkheim (1938)
     • based on the causes that produce some fact, being independent of the states of the people.
       • It is helped with questionnaires, inventories, which can be of statistical analysis
   • Phenomenology (Berger and Luckmann, 1967, Bruyn 1966, Husserl, 1913, Psathas, 1973, Schutz, 1962, 1967)
     • seeks to clarify social phenomena from a point of "actor"

9. Qualitative methodology

   • descriptive data
     • inductive and humanistic
       • all perspectives are valuable. It takes a lot of time

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