Latent Class Models
نویسندگان
چکیده
Over the past several years more significant books have been published on latent class and other types of finite mixture models than any other class of statistical models. The recent increase in interest in latent class models is due to the development of extended computer algorithms, which allow today's computers to perform latent class analysis on data containing more than just a few variables. In addition, researchers are realizing that the use of latent class models can yield powerful improvements over traditional approaches to cluster, factor, regression/segmentation, as well as to multivariable biplots and related graphical displays.
منابع مشابه
An application of Measurement error evaluation using latent class analysis
Latent class analysis (LCA) is a method of evaluating non sampling errors, especially measurement error in categorical data. Biemer (2011) introduced four latent class modeling approaches: probability model parameterization, log linear model, modified path model, and graphical model using path diagrams. These models are interchangeable. Latent class probability models express l...
متن کاملشناسایی نوع و مدل وسیله نقلیه با استفاده از مجموعه بخشهای متمایزکننده
In fine-grained recognition, the main category of object is well known and the goal is to determine the subcategory or fine-grained category. Vehicle make and model recognition (VMMR) is a fine-grained classification problem. It includes several challenges like the large number of classes, substantial inner-class and small inter-class distance. VMMR can be utilized when license plate numbers ca...
متن کاملLatent class representation of the Grade of Membership model
Latent class and the Grade of Membership (GoM) models are two examples of latent structure models. Latent class models are discrete mixture models. The GoM model has been originally developed as an extension of latent class models to a continuous mixture. This note describes a constrained latent class model which is equivalent to the GoM model, and provides a detailed proof of this equivalence....
متن کاملVirtual Social Networks Addiction and High-Risk Group among Health Science Students in Iran: A Latent Class Analysis
Background and purpose: Virtual social networks (VSNs) are among the most popular communication paths that have become an integral part of most people's lives, including students. This study aimed to investigate the prevalence of VSNs addiction and their related factors, and identify the patterns of addictive-related factors among the students in Kerman, Iran in 2019. Materials and Methods: Th...
متن کاملGood item or bad—can latent class analysis tell?: the utility of latent class analysis for the evaluation of survey questions
Latent class analysis has been used to model measurement error, to identify flawed survey questions and to estimate mode effects. Using data from a survey of University of Maryland alumni together with alumni records, we evaluate this technique to determine its usefulness for detecting bad questions in the survey context. Two sets of latent class analysis models are applied in this evaluation: ...
متن کامل