Latent Variable Models and Factor Analysis
نویسنده
چکیده
منابع مشابه
مدل معادلات ساختاری و کاربرد آن در مطالعات روانشناسی: یک مطالعه مروری
Introduction: Structural Equation Modeling (SEM) is a very general statistical modeling technique, which is widely used in the behavioral sciences. It can be viewed as a combination of path analysis, regression and factor analysis. One of the prominent features of this method is the ability to compute direct, indirect and total effects, as well as latent variable modeling. Methods: This sy...
متن کاملUsing multivariate generalized linear latent variable models to measure the difference in event count for stranded marine animals
BACKGROUND AND OBJECTIVES: The classification of marine animals as protected species makes data and information on them to be very important. Therefore, this led to the need to retrieve and understand the data on the event counts for stranded marine animals based on location emergence, number of individuals, behavior, and threats to their presence. Whales are g...
متن کاملPackage ‘ lavaan ’
May 11, 2010 Title Latent Variable Analysis Version 0.3-1 Author Yves Rosseel Maintainer Yves Rosseel Description Fit a variety of latent variable models, including confirmatory factor analysis, structural equation modeling and latent growth curve models. Depends R (>= 2.10.1), methods License GPL-2 LazyLoad yes LazyData yes URL http://lavaan.org ...
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Background and Objectives: Logistic regression is one of the most widely used generalized linear models for analysis of the relationships between one or more explanatory variables and a categorical response. Strong correlations among explanatory variables (multicollinearity) reduce the efficiency of model to a considerable degree. In this study we used latent variables to reduce the effects of ...
متن کاملAnchored Discrete Factor Analysis
We present a semi-supervised learning algorithm for learning discrete factor analysis models with arbitrary structure on the latent variables. Our algorithm assumes that every latent variable has an “anchor”, an observed variable with only that latent variable as its parent. Given such anchors, we show that it is possible to consistently recover moments of the latent variables and use these mom...
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ورودعنوان ژورنال:
- Technometrics
دوره 43 شماره
صفحات -
تاریخ انتشار 2001