Using Consensus Analysis to Measure Cultural Diversity in Organizations and Social Movements
- 1 August 1999
- journal article
- Published by SAGE Publications in Field Methods
- Vol. 11 (1) , 5-26
- https://doi.org/10.1177/1525822x9901100102
Abstract
Consensus analysis, a technique developed in cognitive anthropology for analyzing structured interview data, produces three useful results: (1) a measure of the degree of agreement among informants about a domain of knowledge, belief, or practice; (2) the “culturally correct” information about that domain according to the pooled answers of the informants; and (3) a score for each informant representing that person’s knowledge of the domain. Consensus analysis is not just for high-agreement domains, however. This article explores a typology for conceptualizing diversity in low-consensus domains, including (1) weak agreement, (2) turbulent, (3) subcultural, and (4) contested domains, using case study examples from an English social movement, a Scottish high-technology firm, and a Scottish business support and training organization. The typology helps measure and interpret diversity and change within organizations and social movements.Keywords
This publication has 9 references indexed in Scilit:
- Finding a Work Culture that Fits: Egalitarian Manufacturing Firms in Mid Wales.Anthropology of Work Review, 1998
- Stumbling into Applied Anthropology: Collaborative Roles of Academic ResearchersPracticing Anthropology, 1995
- Culture, Practice and PoliticsCritique of Anthropology, 1992
- The Concept of Organizational and Corporate Culture:An Ethnological ViewAnthropology of Work Review, 1989
- Systematic Data CollectionPublished by SAGE Publications ,1988
- Social position and shared knowledge: Actors' perceptions of status, role, and social structureSocial Networks, 1987
- Recent Applications of Cultural Consensus TheoryAmerican Behavioral Scientist, 1987
- Culture as Consensus: A Theory of Culture and Informant AccuracyAmerican Anthropologist, 1986
- Predicting informant accuracy from patterns of recall among individualsSocial Networks, 1984