Qualitative data relating to, measuring, or measured by the quality of something rather than its quantity
Strengths of qualitative data:
Qualitative research provides more insight into the sampled data, as their open ended nature mean they are less limiting of the information provided; they also eliminate the a priori assumptions used in quantitative data
Limitations of qualitative data:
Qualitative data cannot be directly and mathematically compared, and thus comparisons are only nominal and subjective
Ability to generalise results from qualitative studies:
Because qualitative data is normally interpretative, their results cannot be easily generalized
Ethical considerations:
Some participants may not be comfortable with being on record for their qualitative statements, or may be recognizable, and thus recording qualitative may impede on the participants’ confidentiality
Appropriate sampling techniques:
* Interviews
* Observations
* Open-ended surveys
Effects of participant expectations and researcher bias in qualitative research:
They may impose demand characteristics upon otherwise qualitative data
Importance of credibility in qualitative research:
As qualitative research is not quantitative and very subjective, great care must be taken to ensure that recorded data credibly reflects the observer's thoughts
Effect of triangulation on the credibility/trustworthiness of qualitative research:
Triangulation adds another level of interpretation and subjectivity to qualitative research, and thus impedes on credibility and trustworthiness
Reflexibility in qualitative research:
It is difficult to determine a mathematical reflexive relationship because the data is qualitative
Interviews
Semi-structured interviewsA list of themes is provided to guide the interview