Dimensional analysis of rank-order and categorical data
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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.
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Skinner, Harvey A & Sheu, Wen-jenn. (1982). Dimensional analysis of rank-order and categorical data. Applied Psychological Measurement, 6, 41-46. doi:10.1177/014662168200600104
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doi:10.1177/014662168200600104
Suggested Citation
Skinner, Harvey A.; Sheu, Wen-jenn. (1982). Dimensional analysis of rank-order and categorical data. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/101365.
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