Skip to main content
padlock icon - secure page this page is secure

Pandas and Penguins, Monkeys and Caterpillars: Problems of Cluster Analysis in Semantic Verbal Fluency

Buy Article:

$54.00 + tax (Refund Policy)

Semantic verbal fluency, the most common example of which involves naming as many animals as possible in a specified time period, is one of the most widely used cognitive assessments both in research and work with clinical populations. One increasingly common way in which verbal fluency tasks are analysed is via the post-hoc categorisation of participants' responses into clusters by the experimenter. This qualitative process is seen as an important adjunct to simply counting the number of responses and is held to be a sensitive indicator of pathological cognitive processes and a window into semantic organisation. In this article, we examine the theoretical assumptions underlying cluster analyses and present data from description by 10 participants of their own performance on a semantic verbal fluency task. These qualitative descriptions cast doubt on (a) the assumption that semantic relationships can be reliably identified via external analysis and (b) the related assumption that clustering (results) can be taken as representative of specific features of semantic organisation and cognitive processes.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: assessment; clustering; verbal fluency

Document Type: Research Article

Affiliations: University of SheffieldDepartment of Human Communication Sciences, Sheffield, UK

Publication date: January 1, 2013

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more