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Bootstrap and jackknife techniques are used to estimate ellipsoidal confidence regions of group stimulus points derived from
INDSCAL. The validity of these estimates is assessed through Monte Carlo analysis. Asymptotic estimates of confidence regions
based on a MULTISCALE solution are also evaluated. Our findings suggest that the bootstrap and jackknife techniques may be
used to provide statements regarding the accuracy of the relative locations of points in space. Our findings also suggest
that MULTISCALE asymptotic estimates of confidence regions based on small samples provide an optimistic view of the actual
statistical reliability of the solution.
The authors wish to thank Geert DeSoete, Richard A. Harshman, William Heiser, Jon Kettenring, Joseph B. Kruskal, Jacqueline
Meulman, James O. Ramsay, John W. Tukey, Paul A. Tukey, and Mike Wish.
Sharon L. Weinberg is a consultant at AT&T Bell Laboratories, Murray Hill, New Jersey 07974. 相似文献
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Douglas B. Clarkson 《Psychometrika》1979,44(3):297-314
The jackknife by groups and modifications of the jackknife by groups are used to estimate standard errors of rotated factor loadings for selected populations in common factor model maximum likelihood factor analysis. Simulations are performed in whicht-statistics based upon these jackknife estimates of the standard errors are computed. The validity of thet-statistics and their associated confidence intervals is assessed. Methods are given through which the computational efficiency of the jackknife may be greatly enhanced in the factor analysis model.Computing assistance was obtained from the Health Sciences Computing Facility, UCLA, sponsored by NIH Special Research Resources Grant RR-3.The author wishes to thank his doctoral committee co-chairmen, Drs James W. Frane and Robert I. Jennrich, UCLA, for their contributions to this research. 相似文献
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