Complexity of the Paradigms Present in Quality Criteria of Qualitative Research Grids
Bibliographic Data
| ID | 5010187 |
|---|---|
| Authors | Marie Santiago-Delefosse (0000-0001-7319-0560, University of Lausanne), Christine Bruchez (University of Lausanne, corresponding author), Alan Gavin (0000-0002-1993-5653, University of Lausanne), Amaelle Gavin, L Stephens (0000-0002-9761-5540, University of Lausanne), Sarah Lilian Stephens, Pauline Roux (0000-0003-1595-7326, University of Lausanne) |
| Year | 2015 |
| Volume | 5 |
| Issue | 4 |
| Pages | 5/4/2158244015621350 |
| Publication date | 2015-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | SAGE Open (JOURNAL) |
| Journal identifiers | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/2158244015621350 |
| OpenAlex | W2259702399 |
| Language | EN |
| Citations received | 5 |
| References cited | 41 |
With qualitative methods being increasingly used in health science fields, numerous grids proposing criteria to evaluate the quality of this type of research have been produced. Expert evaluators deem that there is a lack of consensual tools to evaluate qualitative research. Based on the review of 133 quality criteria grids for qualitative research in health sciences, the authors present the results of a computerized lexicometric analysis, which confirms the variety of intra- and inter-grid constructions, including within the same field. This variety is linked to the authors' paradigmatic references underlying the criteria proposed. These references seem to be built intuitively, reflecting internal representations of qualitative research, thus making the grids and their criteria hard to compare. Consequently, the consensus on the definitions and the number of criteria becomes problematic. The paradigmatic and theoretical references of the grids should be specified so that users could better assess their contributions and limitations
Data science · Epistemology · Grid · Management science · Qualitative research · Social science · Sociology · Cognitive and psychological constructs research · Computer Science · Data Analysis and Archiving · Engineering · Mathematics · Qualitative Research Methods and Applications · Artificial Intelligence
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| Unique citing works | 5 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2016 - 2026 (11) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |