Dimensional Analysis of Rank-Order and Categorical Data
- 1 January 1982
- journal article
- research article
- Published by SAGE Publications in Applied Psychological Measurement
- Vol. 6 (1) , 41-45
- https://doi.org/10.1177/014662168200600104
Abstract
Skinner (1979) has described a generalized principal components model for classification research that assumes interval or quasi-interval data. First, a parsimonious set of typal dimensions is sought through a multiple replication design, and then relatively homogeneous subgroups are identified within this low dimensional space. The purpose of this paper is to describe preliminary transformations whereby the model may be extended to situations where the data are of either categorical or rank-order metric.Keywords
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