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 | |
| 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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Cite this
Tarjan, R. E., & Miller, C. R. (1971). An analytical positive manifold algorithm for use with latent class analysis. Multivariate Behavioral Research, 6(3), 363-371. https://doi.org/10.1207/s15327906mbr0603_6