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Interpreting Smallest Space Analysis

University of California (Los Angeles)

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.

Sociological Methods & Research, Vol. 3, No. 1, 3-29 (1974)
DOI: 10.1177/004912417400300101


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