Qualitaive Analysis


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Presentation was mainly concentrated on two techniques used in qualitative analysis. Please go through the presentation to know how best we can be a best researcher in qualitative analysis

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  • yah this is good but I was looking for posibilities of analysing qualitative information using exporatory data analysis
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Qualitaive Analysis

  1. 1. Qualitative Analysis
  2. 2. <ul><li>Qualitative Research mainly uses two types of analysis: </li></ul><ul><li>Thematic analysis. </li></ul><ul><li>Content analysis. </li></ul>Qualitative analysis
  3. 3. <ul><li>Thematic coding refers to any method of categorising segments of qualitative data into meaningful themes. </li></ul><ul><li>Thematic analysis is more exploratory than content analysis – It aims to “understand” rather than “know” the data. </li></ul><ul><li>Data is read thoroughly to look for Themes that arise. </li></ul>Thematic analysis
  4. 4. How to carryout Thematic analysis <ul><li>Read each transcripts carefully. </li></ul><ul><li>Use margin to note anything interesting or significant. (summarize you comments). </li></ul><ul><li>Note any potential themes arising. </li></ul><ul><li>Make a list of these themes and look for connections between. </li></ul><ul><li>Themes will expand, contrast, or change as you analyze more transcripts. </li></ul><ul><li>- The main aim is to end up with key themes that describe </li></ul><ul><li>the essence of study. </li></ul>
  5. 5. Pros and Cons of Thematic analysis <ul><li>Pros. </li></ul><ul><li>- Provide meaningful structure. </li></ul><ul><li>- Rich and insightful information </li></ul><ul><li>Cons. </li></ul><ul><li>- Time consuming </li></ul><ul><li>- Data supportive </li></ul>
  6. 6. Content analysis Content analysis : It is a basic analysis which involves counting of how often an “Instance” occurs this may be in the form of a) a particular word or phrase, e.g. stress, value for money b) a semantic (meaning) category, e.g. reference to an event, object, concept – stress = worry, strain etc.
  7. 7. Content analysis <ul><li>Interpretation may be based on: </li></ul><ul><li>frequency of occurrences. </li></ul><ul><li>(e.g. in different samples, or at different times) </li></ul><ul><li>patterns of co-occurrence. </li></ul><ul><li>sequence of occurrences. </li></ul>
  8. 8. <ul><li>The first stage of content analysis involves defining the coding unit to be coded. </li></ul><ul><li>- Add ons </li></ul><ul><li>It can be either. </li></ul><ul><ul><li>A word </li></ul></ul><ul><ul><li>A line of text </li></ul></ul><ul><ul><li>A sentence </li></ul></ul>Selection of coding unit will mainly depend on objectives of the study How is coding carried out?
  9. 9. <ul><li>Code development normally involves collaborative process of: </li></ul><ul><li>Immersion in data, e.g. repeatedly reading transcripts </li></ul><ul><li>Generating tentative codes </li></ul><ul><li>Applying and developing codes - refining, elaborating, defining, rejecting, splitting </li></ul><ul><li>Testing codes for reliability. </li></ul>Developing a coding manual
  10. 10. Coding manual helps in A good coding manual: a) Serves as a ‘paper-trail’ for verification of the analysis; b) Makes transparent to the reader the relationship between codes and data; c) Makes explicit the processes involved in the construction of the analysis, and the presentation of the interpretation.
  11. 11. Coding manual consists <ul><li>Coding manual should consist of: </li></ul><ul><li>label/name for each theme </li></ul><ul><li>definition of what theme concerns/name means </li></ul><ul><li>description of how to decide when theme occurs </li></ul><ul><li>qualifications, elaborations and exclusions </li></ul>
  12. 12. Pros and Cons of Content Analysis <ul><li>Pros. </li></ul><ul><li>- Can check reliability. </li></ul><ul><li>- Easy follow up </li></ul><ul><li>- Helps as a starting point for quantitative. </li></ul><ul><li>Cons. </li></ul><ul><li>- Can be uninteresting </li></ul><ul><li>- Has been argued that it is essentially a quantitative approach. </li></ul><ul><li>- Does not relate to theory. </li></ul>
  13. 13. Thank you