
Mixed methods research is becoming increasingly popular in the health and social science disciplines. The aim of this article is to give an overview of the varieties of mixed methods designs. We begin by situating mixed methods research in the context of a paradigmatic framework which assists a researcher in making decisions concerning the design of their study. Although the most commonly used mixed methods designs are underpinned by positivist/postpositivist assumptions, the combination of qualitative and quantitative methods can be used within any research paradigm.
Mixed methods, Attitude of Health Personnel, Data Collection, Reproducibility of Results, 300, Research Personnel, Nursing Research, Postpositivism, Bias, Research Design, Data Interpretation, Statistical, Paradigms, Humans, Philosophy, Nursing, Quantitative research, Qualitative Research
Mixed methods, Attitude of Health Personnel, Data Collection, Reproducibility of Results, 300, Research Personnel, Nursing Research, Postpositivism, Bias, Research Design, Data Interpretation, Statistical, Paradigms, Humans, Philosophy, Nursing, Quantitative research, Qualitative Research
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 41 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
