TY - JOUR
T1 - An analytical positive manifold algorithm for use with latent class analysis
AU - Tarjan, Robert E.
AU - Miller, Curtis R.
N1 - Funding Information:
1. This investigation was supported by Public Health Service Research Grant No. MH-08667 from the Nakional Institute of Men'tal Health, Department of Health, Education and Welfare, and General Research Support Grant FtR-06632 from the General Research Support Branch, Division of Research Facilities and Resources, National Institutes of Health. Computing assistance was obtained from the Healkh Sciences Compnting Facility, UCLA, sponsored by NIH Grant FR-8. Appreciation is extended tu Dr. W. A. Gibson for critical commenta .o.n an earlier version of this dicla
PY - 1971/7/1
Y1 - 1971/7/1
N2 - A simple computational method for latent class analysis is that of Gibson (1951, 1962), For the method to be adapted to computers, however, it is necessary to utilize an algorithm which will rotate the intermediate solution to a positive manifold result. Such algorithms have not appeared in the literature. A positive manifold algorithm which has proven successful, is developed and presented, with comments on its use.
AB - A simple computational method for latent class analysis is that of Gibson (1951, 1962), For the method to be adapted to computers, however, it is necessary to utilize an algorithm which will rotate the intermediate solution to a positive manifold result. Such algorithms have not appeared in the literature. A positive manifold algorithm which has proven successful, is developed and presented, with comments on its use.
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U2 - 10.1207/s15327906mbr0603_6
DO - 10.1207/s15327906mbr0603_6
M3 - Article
AN - SCOPUS:84949160359
VL - 6
SP - 363
EP - 371
JO - Multivariate Behavioral Research
JF - Multivariate Behavioral Research
SN - 0027-3171
IS - 3
ER -