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What is the distinction between R factor analysis and Q factor analysis?

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What is the distinction between R factor analysis and Q factor analysis?

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Most forms of statistical analysis, including most factor analyses, focus on variables. That is, most factor analysis is directed at reducing a larger number of manifest variables to a smaller number of latent variables. Analyses of this type are R factor analysis. It is possible, however, to focus on units of analysis. Most cluster analysis and Q factor analysis seeks to reduce a population of cases to a smaller number of latent clusters of units. 16. Do most forms of regression, factor analysis, and canonical correlation assume linearity of relationships? Answer: Yes, though nonlinear analogs exist for these procedures. 17. Why does Tacq say multi-dimensional scaling (MDS) is different from all the other multivariate procedures he discusses? Answer: All the others start with a data matrix of measures of cases (rows) on variables (columns), whereas the focus in MDS is on similarities between variables as revealed by the set of all comparisons between any pair of variables. For instanc

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