Afregarde Research conducts Qualitative Data Analysis in all research disciplines. Qualitative research designs have several benefits for the research community. These benefits however require skillful methodology as they are also come with a host of challenges that can either derail or discredit the whole qualitative research effort. The reasons why researchers do qualitative research are:

  • It is effective in bringing out emotions, feelings and deeper perspectives from research subjects
  • It enables the collection on rich and undisturbed data through natural and unlimited response processes
  • It is important when dealing with subject matter that is generally new or that is not well known or defined
  • Sometimes it is the only possible research design that will apply to a given sample. e.g. when small children cannot be expected to effectively complete close-ended questionnaires

Qualitative data analysis presents various challenges for researchers mainly:

  • The need to process unstructured data into structured analyzable information
  • Dealing with large volumes of data
  • Designing and documenting an effective coding system
  • Coming up with distinct yet logical and related themes and topics that comprehensively bring out the general perceptions, views, opinions and emotions of research samples
  • Expressing emotions and feelings into objective, meaningful views
  • The need to deal with data in various formats including scanned questionnaires, audio tapes, video tapes and observation notes

Several common mistakes or weaknesses that the above challenges bring include:

  • Leaving out or dropping important themes that are part of the findings
  • Overemphasizing on a particular view as a result of the researcher’s subjective views or limited understanding of related themes
  • Under-presenting particular themes and content
  • Poor presentation structure and failure to categorise data into logical and meaningful units

Systems and processes

We use various logical approaches to ensure that findings from qualitative research processes are duly analysed, logically group and comprehensively presented. We rely on various generic data analysis tools such as NVivo and Atlas Ti as well as our own in-house systems.

  • Grounded Theory
  • Thematic Content Analysis
  • Discourse Analysis
  • Narrative Analysis
  • Hermeneutical Analysis
  • Event Analysis
  • Matrix and Logical Analysis
  • Metaphorical Analysis
  • And many more…

Often a single qualitative data analysis process may require the combination of various approaches presented above although there is usually an overarching dominant analysis method.

What is required for a qualitative data analysis

To perform a qualitative data analysis, Afregarde Research requires the following:

  • Unprocessed data collection media:
  • Interview transcripts
  • Audio tapes
  • Video clips
  • Observation notes
  • Open-ended questionnaires
  • Focus group minutes

Researcher’s Objectives and Perspectives

The analysis team will code and analyse the provided media with the intention of ensuring that the objectives of the study are clearly brought out.

Cost and time frames

For costs and time frames associated with qualitative data analysis please send a request for quotation or an email to: