Latent Class Analysis

Informationen zum Autor Research Interest: Donald O. Clifton Chair of Survey Science, and RSS & ASA Fellow Research Scientist, Gallup Research Center Survey Research and Methodology Graduate Program Klappentext Latent class analysis is a powerful tool for analysing 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. Inhaltsverzeichnis Introduction The Logic of Latent Variables Latent Class Analysis Estimating Latent Categorical Variables Analyzing Scale Response Patterns Comparing Latent Structures Among Groups Conclusions

Product details

• Authors: McCutcheon, Allan L. McCutcheon, Allan L. L. Mccutcheon
• Assisted by: Allan L. McCutcheon (Editor)
• Publisher: Sage Publications Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 27.08.1987
• EAN: 9780803927520
• ISBN: 978-0-8039-2752-0
• No. of pages: 96
• Series: Quantitative Applications in t; Quantitative Applications in t
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Social sciences, law, business > Sociology > Social structure research