Domain analysis for qualitative public health data
Bibliographic Data
| ID | 11490484 |
|---|---|
| Authors | Stephen Atkinson (0000-0002-7186-0644, University of Manchester), Sarah Atkinson (0000-0003-4605-0057), MONICA ABU EL HAP (Escola Nacional de Saúde Pública) |
| Year | 1996 |
| Volume | 11 |
| Issue | 4 |
| Pages | 438-442 |
| Publication date | 1996-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Health Policy and Planning (JOURNAL) |
| Journal identifiers | ISSN: 0268-1080 • E-ISSN: 1460-2237 |
| Publisher | Oxford University Press (PUBLISHER • GB) |
| DOI | 10.1093/heapol/11.4.438 |
| PMID | 10164200 |
| OpenAlex | W2126770981 |
| Language | EN |
| Citations received | 17 |
| References cited | 1 |
Many researchers in public health are drawing on multiple methods to collect data in order to answer applied questions in the field. In particular, the value of qualitative data is recognized more and more as a supplement to existing or primary quantitative data which can serve either to refine research questions or to assist in the interpretation of statistical results. Manuals are plentiful on how to collect qualitative data relatively quickly through group discussions or interviews with key actors (for example Krueger 1988; Scrimshaw and Hurtado 1987; WHO ARI programme 1993). However, less advice seems to be readily accessible on what to do with those data once collected.
Data science · Domain (mathematical analysis) · Public health · Qualitative research · Social science · Sociology · Computer Science · Evaluation and Performance Assessment · Health Policy Implementation Science · Medicine · Nursing · Qualitative Research Methods and Ethics
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| Unique citing works | 17 |
|---|---|
| Citations per year | 0,65 |
| Citation span | 2000 - 2025 (26) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 17 |