Social Science Quarterly, Volume 68Southwestern Social Science Association and the University of Texas, 1987 - Political science Includes section "Book reviews." |
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Page 407
... factors . Using a principal components solution with varimax orthogonal rotation , to maxi- mize the loadings of the variables on the relevant factors , a decision was made to examine only 15 factors , accounting for 84.4 percent of the ...
... factors . Using a principal components solution with varimax orthogonal rotation , to maxi- mize the loadings of the variables on the relevant factors , a decision was made to examine only 15 factors , accounting for 84.4 percent of the ...
Page 408
... factors . Why our Q analysis of 50 states produced 13 factors with eigenvalues of 1 or greater while Luttbeg achieved only 4 or 5 factors is unanswerable but disturbing . In any event , a 13 - factor solution ( for the 84 variables ) ...
... factors . Why our Q analysis of 50 states produced 13 factors with eigenvalues of 1 or greater while Luttbeg achieved only 4 or 5 factors is unanswerable but disturbing . In any event , a 13 - factor solution ( for the 84 variables ) ...
Page 410
... factor Growth . Since the 1980 Q analysis yields 13 factors with eigenvalues of 1 or greater , it seemed imperative to explore a solution with more than 4 factors . This did not prove to be a simple task , and the final solution still ...
... factor Growth . Since the 1980 Q analysis yields 13 factors with eigenvalues of 1 or greater , it seemed imperative to explore a solution with more than 4 factors . This did not prove to be a simple task , and the final solution still ...
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