Data analysis – is hard

I’ve had to stop writing my thesis for the time being, I’ve come to the end of the first draft of the literature review but I have been told by my supervisor to concentrate on the data analysis otherwise I’m going to run out of time. I was going to start with In Vivo coding but this felt too loose and unstructured. I prefer to use more structured methods. So, I’ve gone back to basics and reviewed some of the literature on qualitative data analysis.

I’ve been reading The Coding Manual for Qualitative Researchers by Jonny Saldana and Qualitative Data Analysis by Miles and Huberman and have decided to avoid In Vivo coding and start again by creating a conceptual framework based on research questions, hypothesis, problem areas, and / or key variables that the researcher brings to the study

I’m going to create a set of codes based on:

Bogden and Biklen’s (1992) coding accounting scheme.

  1. Settings/Context: general information on surroundings that allows you to put the study in a larger context.
  2. Definition of the situation: how people understand, define, or perceive the setting or the topics on which the study bears.
  3. Perspectives: ways of thinking about their setting shared by informants (“how things are done here”).
  4. Ways of thinking about people and objects: understandings of each other, of outsiders, of objects in their world (more detailed than above).
  5. Process: regularly occurring kinds of behaviour.
  6. Activities: regularly occurring kinds of behaviour.
  7. Events: specific activities, especially ones occurring infrequently.
  8. Strategies: ways of accomplishing things; people’s tactics, methods, techniques for meeting their needs.
  9. Relationships and social structure: unofficially defined patterns such as cliques, coalitions, romances, friendships and betrayals.
  10. Methods: problems, joys, dilemmas of the research process – often in relation to comments by observers.

Thinking about Quantitative Research

I have started working on my next assignment  for the quantitative research methods module. I’m using an online Likert scale questionnaire to collect the data. The population from whom the sample is being selected consists of 180 staff. The sample will be randomly selected and will consist of a 10% sample.

The each member of the population will be randomly allocated by a computer macro a number between 1 and 180. The selection of the sample will be made from another macro that will generate 18 random numbers between 1 and 180. The output numbers will be matched to the main population list.

People selected will be sent an email by email mail merge. The email will contain a link to the online survey. The aim is to gather a minimum of 9 – 10 responses for the analysis part of the assignment.

The main challenges at the present time (AKA the beginning) are:

  1. Making sure the computer macro’s work and generate the random numbers.
  2. That the selection of staff from the randomly generated list are available to complete the survey.
  3. That enough people will respond to the request to complete the survey.
  4. That I am clear in my own head what the outcome of the survey is going to be.
  5. I am looking at Factor analysis as a possible analysis technique – (Field, 2013).

I am planning on getting the survey completed and out to recipients the week beginning 17th March.

 

Field. A, (2013) Discovering Statistics Using IBM SPSS Statistics, Sage, Los Angeles, USA.