Advances in Latent Class Analysis is popular PDF and ePub book, written by Gregory R. Hancock in 2019-05-01, it is a fantastic choice for those who relish reading online the Education genre. Let's immerse ourselves in this engaging Education book by exploring the summary and details provided below. Remember, Advances in Latent Class Analysis can be Read Online from any device for your convenience.
Advances in Latent Class Analysis Book PDF Summary
What is latent class analysis? If you asked that question thirty or forty years ago you would have gotten a different answer than you would today. Closer to its time of inception, latent class analysis was viewed primarily as a categorical data analysis technique, often framed as a factor analysis model where both the measured variable indicators and underlying latent variables are categorical. Today, however, it rests within much broader mixture and diagnostic modeling framework, integrating measured and latent variables that may be categorical and/or continuous, and where latent classes serve to define the subpopulations for whom many aspects of the focal measured and latent variable model may differ. For latent class analysis to take these developmental leaps required contributions that were methodological, certainly, as well as didactic. Among the leaders on both fronts was C. Mitchell “Chan” Dayton, at the University of Maryland, whose work in latent class analysis spanning several decades helped the method to expand and reach its current potential. The current volume in the Center for Integrated Latent Variable Research (CILVR) series reflects the diversity that is latent class analysis today, celebrating work related to, made possible by, and inspired by Chan’s noted contributions, and signaling the even more exciting future yet to come.
Detail Book of Advances in Latent Class Analysis PDF
- Author : Gregory R. Hancock
- Release : 01 May 2019
- Publisher : IAP
- ISBN : 9781641135634
- Genre : Education
- Total Page : 281 pages
- Language : English
- PDF File Size : 11,9 Mb
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