Interpreting Smallest Space Analysis

Kenneth D. Bailey
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Kenneth D. Bailey: University of California (Los Angeles)

Sociological Methods & Research, 1974, vol. 3, issue 1, 3-29

Abstract: Two kinds of SSA (smallest space analysis) are distinguished: R-SSA, which uses as input a matrix of R-distance coefficients (distances among pairs of variables); and Q-SSA, which uses as input a matrix of Q-distance coefficients (distances among pairs of objects). While both types are common in the literature, only researchers using Q-SSA have attempted to interpret the coordinates of the space. It is shown that the coordinates can be interpreted in R-SSA, and that this interpretation yields valuable information that is otherwise lost. Also, SSA and factor analysis are compared from a facet analysis perspective. Finally, an R-SSA is compared with an R-factor analysis of the same data.

Date: 1974
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Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:3:y:1974:i:1:p:3-29

DOI: 10.1177/004912417400300101

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