Sample size in qualitative research
Bibliographic Data
| ID | 23313718 |
|---|---|
| Authors | Margarete Sandelowski (University of North Carolina at Chapel Hill, corresponding author) |
| Year | 1995 |
| Volume | 18 |
| Issue | 2 |
| Pages | 179-183 |
| Publication date | 1995-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Research in Nursing & Health (JOURNAL) |
| Journal identifiers | ISSN: 0160-6891 • E-ISSN: 1098-240X |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/nur.4770180211 |
| PMID | 7899572 |
| OpenAlex | W1996600674 |
| Language | EN |
| Citations received | 695 |
| References cited | 15 |
A common misconception about sampling in qualitative research is that numbers are unimportant in ensuring the adequacy of a sampling strategy. Yet, simple sizes may be too small to support claims of having achieved either informational redundancy or theoretical saturation, or too large to permit the deep, case‐oriented analysis that is the raison‐d'etre of qualitative inquiry. Determining adequate sample size in qualitative research is ultimately a matter of judgment and experience in evaluating the quality of the information collected against the uses to which it will be put, the particular research method and purposeful sampling strategy employed, and the research product intended. ©1995 John Wiley & Sons, Inc.
Management science · Qualitative research · Redundancy (engineering) · Sample (material) · Sample size determination · Sampling (signal processing) · Social science · Sociology · Statistics · Computer Science · Engineering · Health Policy Implementation Science · Mathematics · Psychology · Qualitative Comparative Analysis Research · Qualitative Research Methods and Applications
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| Unique citing works | 695 |
|---|---|
| Citations per year | 23,97 |
| Citation span | 1997 - 2026 (30) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 650 |