Understanding divergence of quantitative and qualitative data (or results) in mixed methods studies

By Pierre Pluye, R. Grad, A. Levine, Belinda Nicolau. 2009

91 citations recorded by the source corpus.

Subfields: General Health Professions, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/a266688ac6a14b2426d2d84941754e04969ac191

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

1. Pierre Pluye
2. Marie-Pierre Gagnon
3. Frances Griffiths
4. Janique Johnson‐Lafleur
5. Quan Nha Hong
6. Phillipa McKeering
7. Yoon-Suk Hwang

In Sociology and Political Science

1. Janique Johnson‐Lafleur
2. Frances Griffiths
3. Pierre Pluye
4. Marie-Pierre Gagnon

Citations in the corpus

• A scoring system for appraising mixed methods research, and concomitantly appraising qualitative, quantitative and mixed methods primary studies in Mixed Studies Reviews. (2009, methodology): “Divergence of qualitative and quantitative data or results is rarely published, although a literature review found nine examples in health sciences (Pluye et al., 2009a).”