Qualitative Research: Rigour and qualitative research

Abstract

Various strategies are available within qualitative research to protect against bias and enhance the reliability of findings. This paper gives examples of the principal approaches and summarises them into a methodological checklist to help readers of reports of qualitative projects to assess the quality of the research. In the health field--with its strong tradition of biomedical research using conventional, quantitative, and often experimental methods--qualitative research is often criticised for lacking scientific rigour. To label an approach “unscientific” is peculiarly damning in an era when scientific knowledge is generally regarded as the highest form of knowing. The most commonly heard criticisms are, firstly, that qualitative research is merely an assembly of anecdote and personal impressions, strongly subject to researcher bias; secondly, it is argued that qualiative research lacks reproducibility--the research is so personal to the researcher that there is no guarantee that a different researcher would not come to radically different conclusions; and, finally, qualitative research is criticised for lacking generalisability. It is said that qualitative methods tend to generate large amounts of detailed information about a small number of settings. The pervasive assumption underlying all these criticisms is that quantitative and qualitative approaches are fundamentally different in their ability to ensure the validity and reliability of their findings. This distinction, however, is more one of degree than of type. The problem of the relation of a piece of research to some presumed underlying “truth” applies to the conduct of any form of social research. “One of the greatest methodological fallacies of the last half century in social research is the belief that science is a particular set of techniques; it is, rather, a state of mind, or attitude, and the organisational conditions which allow that attitude to be expressed.”1 In quantitative data analysis it is possible to generate statistical …