Developing and Implementing a Triangulation Protocol for Qualitative Health Research
By T. Farmer, K. Robinson, S. Elliott, John Eyles. Qualitative Health Research, 2006
927 citations recorded by the source corpus.
Subfields: General Health Professions, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/a561aced742b332a4e4a879817c63a5a08b73657
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In General Health Professions
- Carmen G. Loiselle
- Sylvie D. Lambert
- Michael Curtin
- Alicia O'Cathain
- J. Nicholl
- E. Fossey
- E. Murphy
- José F. Molina-Azorίn
In Sociology and Political Science
- Alicia O'Cathain
- J. Nicholl
- Michael Curtin
- Carmen G. Loiselle
- Sylvie D. Lambert
- E. Fossey
- E. Murphy
- Shema Tariq
Citations in the corpus
- Three techniques for integrating data in mixed methods studies (2010, background): “Several techniques have been described for triangulating findings. They require researchers to list the findings from each component of a study on the same page and consider where findings from each method agree (convergence), offer complementary information on the same issue (complementarity), or a”
- Interactive tools for inpatient medication tracking: a multi-phase study with cardiothoracic surgery patients (2016, methodology): “We compared the patients’ response data related to these themes with audit log data (ie, records of patients’ actual use of the tools) and performed a descriptive analysis.(51)”
- Appraising the trustworthiness of qualitative studies : Guidelines for occupational therapists. (2007, methodology): “Although this purpose of triangulation has relevance for qualitative research studies, it is more suited to quantitative studies (Begley, 1996; Farmer et al., 2006; Morgan, 1998).”
- Combining individual interviews and focus groups to enhance data richness. (2008, background): “The visual depiction of a matrix can assist researchers in systematically comparing the data sets, thereby enhancing the identification of the various levels of data and their mutual contribution to an enhanced understanding of the phenomenon (Averill 2002, Farmer et al. 2006).”