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Latent class analysis is a powerful tool for analyzing the structure of relationships among categorically scored variables. It enables researchers to explore the suitability of combining two or more categorical variables into typologies or scales. It also provides a method for testing hypotheses regarding the latent structure among categorical variables.
- Sales Rank: #1267360 in Books
- Brand: Brand: SAGE Publications, Inc
- Published on: 1987-05-01
- Original language: English
- Number of items: 1
- Dimensions: 8.50" h x .23" w x 5.50" l, .30 pounds
- Binding: Paperback
- 96 pages
- Used Book in Good Condition
About the Author
Research Interest: Donald O. Clifton Chair of Survey Science, and RSS & ASA Fellow Research Scientist, Gallup Research Center Survey Research and Methodology Graduate Program
Most helpful customer reviews
2 of 2 people found the following review helpful.
Useful but a little dated
By Sandy Alabast
This book delivers a good perspective on how LCA fits into latent variable modeling in general and on the basics of LCA's mathematical scheme which were insightful. The computer-based examples are quite dated and aren't likely to allow the reader to put down the book and do an LCA right after reading (at least if you're using a latent variable modeling program; e.g., Mplus, etc...)
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