Monash Short Courses 2013 : Qualitative Data Analysis Training Courses 2013

The aim of the Monash South Africa Qualitative Data Analysis training course is to provide participants with a background in qualitative data analysis methods and the process of writing up findings. The emphasis is on both theoretical knowledge and the practical application of the latter through examples.

Course Content

DAY 1 (Normal Classroom)         
Data Analysis
Data analysis is guided by various research design choices namely the paradigm from the study is conducted and the research strategy guiding the study. We will consider each of these considerations as background to data analysis. Each of these will be discussed briefly as part of the workshop.

  • Paradigmatic considerations:  The researcher’s ontological and epistemological assumptions have implications for what is regarded as real and the role of the researcher in the construction of knowledge. The assumptions and implications of each of the following paradigmatic departure points will be considered: Empirical analytical, Interpretive, Constructionist and Critical.
  • The research design or strategy guides the analysis process and in some instances may have specific analytical procedures associated with it. Consideration will be given to various qualitative research designs or strategies, including Grounded theory, Discourse analysis, Narrative analysis, Case study, Ethnography and Content analysis. The overlaps and differences between these strategies will be illustrated by a series of articles centring on organisational identity.
  • The process of data analysis will be illustrated by a set of generic analysis principles proposed by Baptiste (2001). Based on a distillation of various qualitative data analysis procedures, these general principles provide a foundation from which various specific strategies can be applied.

DAY 1:  (Computer Laboratory)

  • Computer techniques in qualitative data analysis using Excel on online software An example of a study in which data was collected in an open-ended web-based survey and analysed with tools such as Excel will be illustrated.

DAY 2:   (Normal Classroom)          

Writing Up Results
One of the greatest challenges faced by students and academics alike is attempting to write up the results obtained from data analysis. The course will deal with different options that are available, and these are highlighted below.

  • Findings and discussions: Here findings are presented as themes and substantiated with data quotes to support these. Thereafter the results are discussed more broadly for example in the form of a typology or model (where appropriate) and integrated with previous theoretical findings.
  • Second order approach: Here the two stages described above are combined and the findings are presented in the form of a model, at the same time substantiating these with data extracts.
  • The use of narrative: An often used strategy in narrative analysis, as well as case study and ethnography is that of narrative especially where results lend themselves to “telling a story”.
  • Issues surrounding reflexivity and representation: In qualitative research there are a number of debates surrounding how the researcher accounts for his or her own role in the construction of knowledge and how then to represent the data or findings so as to represent these accurately. Various strategies that can be used in this regard will be discussed.

Duration: 2 days
Cost: R8 500.00 per candidate
Venue: Monash Africa Centre/As per arrangement with client

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