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Table 1 QD design issues as proposed by Sandelowski [1]

From: Qualitative description – the poor cousin of health research?

Qualitative Description Design Issues
Design issues Design specifics
Philosophy Pragmatic approach
Overtones of other qualitative approaches (phenomenology, grounded theory, ethnography or a narrative study)
Sample Purposeful sampling
Maximum variation sampling is especially pertinent
Data collection Minimally-to-moderately structured open-ended interviews with individuals or focus groups
Researchers are interested in the Who, What, Where and Why of the experience
Observation of specific occurrences
Review of documents or other pertinent materials
Analysis Qualitative content analysis using modifiable coding systems that correspond to the data collected
When appropriate "Quasi-statistical" analysis methods are added using numbers to summarize data with descriptive statistics
Stay close to the data – low level interpretation (if using qualitative software such as NVivo, the use of "in vivo coding" procedures works well here)
Goal of the analysis strategy is to understand the latent variable (useful for concept clarification and instrument development)
Outcomes Straight description of the data organized in a way that "fits" the data (chronologically by topic, by relevance etc.)