An analytical positive manifold algorithm for use with latent class analysis

Robert Endre Tarjan; Curtis R. Miller

doi:10.1207/s15327906mbr0603_6

An analytical positive manifold algorithm for use with latent class analysis

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English (US)
Pages (from-to)	363-371
Number of pages	9
Journal	Multivariate Behavioral Research
Volume	6
Issue number	3
DOIs	https://doi.org/10.1207/s15327906mbr0603_6
State	Published - Jul 1 1971
Externally published	Yes

All Science Journal Classification (ASJC) codes

Statistics and Probability
Experimental and Cognitive Psychology
Arts and Humanities (miscellaneous)

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