PubMed Health⌕ Search

PubMed · 8477899

The nominal group technique: a research tool for general practice?

Abstract

Qualitative methods are increasingly recognized as valuable, yet practitioners face difficult decisions in their choice of method and the process of analysis. The nominal group technique combines quantitative and qualitative data collection in a group setting, and avoids problems of group dynamics associated with other group methods such as brainstorming, Delphi and focus groups. Idea generation and problem solving are combined in a structured group process, which encourages and enhances the participation of group members. The stages involved in conducting a nominal group are described, and practical problems of its use in a health care setting are discussed with reference to a study of the priorities of care of diabetic patients, carers and health professionals. Some potential applications of the technique in audit and exploratory research are also outlined.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

M Gallagher, T Hares, J Spencer, C Bradshaw, I Webb. 1993. The nominal group technique: a research tool for general practice?. https://doi.org/10.1093/fampra%2F10.1.76

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Probability estimation when some observations are grouped.

This paper considers the use of additional questions for decreasing survey non-response rates and an approach for estimating a probability based on the results obtained. In a survey, the respondents are asked to answer an original question and follow-up questions, where the answers for the follow-up questions are grouped answers for the original question. For example, respondents are asked to provide an exact number of incidents, but in cases of 'Do not know' or 'Refuse' responses, they are subsequently asked to pick an answer from a less specific categorical scale. The new estimator obtains smaller variance asymptotically and does not depend on a distribution family. This method is applied to income questions in a survey regarding injury prevention and behaviours. Another application is survey data on intimate partner violence, where some amendments were applied for incorporating post-stratification weights and for using non-random grouping. For additional illustration, an example of parameter estimation on artificially generated data is presented.

Data Collection↗