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Quality & Quantity

, Volume 47, Issue 2, pp 775–790 | Cite as

Two applications of the Points-of-View model to subject variations in sorting data

Article

Abstract

In many of the social sciences it is useful to explore the “working models” or mental schemata that people use to organise items from some cognitive or perceptual domain. With an increasing number of items, versions of the Method of Sorting become important techniques for collecting data about inter-item similarities. Because people do not necessarily all bring the same mental model to the items, there is also the prospect that sorting data can identify a range within the population of interest, or even distinct subgroups. Anthropology provides one tool for this purpose in the form of Cultural Consensus Analysis (CCA). CCA itself proves to be a special case of the “Points of View” approach. Here factor analysis is applied to the subjects’ method-of-sorting responses, obtaining idealized or prototypal modes of organising the items—the “viewpoints”. These idealised modes account for each subject’s data by combining them in proportions given by the subject’s factor loadings. The separate organisation represented by each viewpoint can be made explicit with clustering or multidimensional scaling. The technique is illustrated with job-sorting data from occupational research, and social-network data from primate behaviour.

Keywords

Method of sorting Individual differences Cultural consensus analysis Factor analysis Multidimensional scaling Occupational cognition 

Abbreviations

CCA

Cultural consensus analysis

MDS

Multidimensional scaling

FA

Factor analysis

HCA

Hierarchical clustering analysis

PCA

Principal components analysis

PoV

Points-of-View

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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.School of Arts, Development and Health EducationMassey UniversityPalmerston NorthNew Zealand

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