6.3. Checklists
We have found four papers (Reynolds, 2011; Walsh, 2006;Cohen, 2008; Côté and Turgeon, 2005) reviewing the literature on quality criteria or guidelines for qualitative research. One of them (Walsh, 2006) provides us with a synthesis of eight existing checklists and summary frameworks (see Table 7). This checklist is quite detailed and is designed in function of meta-synthesis, which is a kind of systematic review of qualitative research papers.
The list of criteria was built in order to rigorously appraise studies first before submitting them to the meta-synthesis technique. Agreement on criteria to judge rigor was necessary in order to decide which studies to include in the meta-synthesis. Walsh and Downe(Walsh, 2006) tabulated the characteristics mentioned in each of the papers in their review. Then they mapped together the characteristics given in all the included papers, sorting them by the number of checklists in which they appeared. In the next step both authors independently attempted a synthesis before coming together to discuss. Redundant criteria were excluded if both authors agreed that the exclusion would not change the final judgment on the meaningfulness and applicability of a piece of qualitative research. Finally the table below was constructed, structured into three columns, namely stages, essential criteria and specific prompts. Although some criteria may seem self-evident, others are less obviously fundamental (Walsh, 2006). This list of criteria is very detailed. In some studies, especially those with short time frame, a shorter and more pragmatic hands-on list could be practical. Therefore we also added the grid of Côté and Turgeon[c] (Table 8) which is shorter, adapted to the specific context of heath care and easier to use for researchers who are less familiar with qualitative research. Other checklists are described in Appendix 1.
The use of a checklist may improve qualitative research, however they should be used critically: not every criterion is appropriate to every research context (Barbour, 2001). For example the list of Coté and Turgeon mentions interpretation of results in an innovative way as a quality criterion (point 10, Table 8), while this is not necessarily the case. Most important is a systematic approach during research process. For example the credibility of data analysis could encompass the use of software (Table 7), triangulation and/or member checking (point 7, Table 8), whereas a systematic approach with a detailed description of each step in the research process could have been sufficient.
Table 7 – Summary criteria for appraising qualitative research studies
Stages | Essential criteria | Specific prompts |
Scope and purpose | Clear statement of, and rationale for, research question / aims / purposes |
|
| Study thoroughly contextualized by existing literature |
|
Design | Method/design apparent, and consistent with research intent |
|
| Data collection strategy apparent and appropriate |
|
Sampling strategy | Sample and sampling method appropriate |
|
Analysis | Analytic approach appropriate |
|
Interpretation | Context described and taken account of in interpretation |
|
| Clear audit trail given |
|
| Data used to support interpretation |
|
Reflexivity | Researcher reflexivity demonstrated |
|
Ethical dimensions | Demonstration of sensitivity to ethical concerns |
|
Relevance and transferability | Relevance and transferability evident |
|
Source: Walsh and Downe, 2006
Table 8 – Grid for the critical appraisalof qualitative research articles in medicine and medical education
| Yes | +/- | No |
Introduction | |||
1. The issue is described clearly and corresponds to the current state of knowledge. | |||
2. The research question and objectives are clearly stated and are relevant to qualitative research (e.g. the process of clinical or pedagogical decision-making). | |||
Methods | |||
3. The context of the study and the researchers’ roles are clearly described (e.g. setting in which the study takes place, bias). | |||
4. The method is appropriate for the research question (e.g. phenomenology, grounded theory, ethnography). | |||
5. The selection of participants is appropriate to the research question and to the method selected (e.g. key participants, deviant cases). | |||
6. The process for collecting data is clear and relevant (e.g. interview, focus group, data saturation). | |||
7. Data analysis is credible (e.g. triangulation, member checking). | |||
Results | |||
8. The main results are presented clearly. | |||
9. The quotations make it easier to understand the results. | |||
Discussion | |||
10. The results are interpreted in credible and innovative ways. | |||
11. The limitations of the study are presented (e.g. transferability). | |||
Conclusion | |||
12. The conclusion presents a synthesis of the study and proposes avenues for further research. |
Source: Côté and Turgeon,2005
[a] Informants may be asked to read transcripts of dialogues in which they have participated to check whether their words match with what they actually intended (Shenton 2004), or they may be asked to check the accuracy of early findings (Bloor 2006) 35.
[b] Thick description refers to rich qualitative data allowing not only the description of social behaviour, but also to connect it to the broader context in which it occurred (Mortelmans 2009).
[c] A French-speaking version is also available (Côte 2002)
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