Using cluster analysis to explore survey data
Issues in research Previous     Next

Using cluster analysis to explore survey data

Llinos Spencer Research officer, Liverpool John Moores University
Gwerfyl Roberts Lecturer and principal investigator, Liverpool John Moores University
Fiona Irvine Professor of nursing, Liverpool John Moores University
Peter Jones Lecturer in nursing, School of Healthcare Sciences, Bangor University, UK
Colin Baker Professor of education, School of Education, Bangor University, UK

Llinos Haf Spencer reports on the use of the cluster analysis statistical technique in nursing research and uses data from the Welsh Language Awareness in Healthcare Provision in Wales survey as an exemplar. She concludes that cluster analysis is a valuable tool to tease out patterns in data that are not initially evident in bivariate analyses and thus should be considered as a viable option for nursing research

According to Beckstead (2002), ‘cluster analysis is a generic name for a wide variety of methods or procedures that can be used to create a classification. These procedures empirically form discrete groups or “clusters” of similar entities based on similarities among their measured features. Entities may be individuals, objects, or variables.’

Nurse Researcher. 15, 1, 37-54. doi: 10.7748/nr2007.

Want to read more?

Subscribe for unlimited access

Try 1 month’s access for just £1 and get:

Your subscription package includes:
  • Full access to the website and the online archive
  • Quaterly digital edition
  • RCNi Portfolio and interactive CPD quizzes
  • RCNi Learning with 200+ evidence-based modules
  • 10 articles a month from any other RCNi journal
RCN student member? Try Nursing Standard Student
Already subscribed? Log in

Alternatively, you can purchase access to this article for the next seven days. Buy now