Latent Variable Hybrids: Overview Of Old And New Models
نویسنده
چکیده
The conference that this book builds upon contained many different special topics within the general area of modeling with categorical latent variables, also referred to as mixture modeling. The many different models addressed at that conference and within this volume may overwhelm a newcomer to the field. In fact, however, there are really only a small number of variations on a common theme. This chapter aims to distinguish the different themes, show how they relate to each other, and give some key references for further study. Some new mixture models are also proposed. Table 1.1 gives a summary of different types of latent variable models. An overview discussion of the models of Table 1.1 was presented in Muthén (2002). The entries of the table are types of models, with the rows dividing the models into cross-sectional and longitudinal and the columns dividing models into traditional models with continuous latent variables, models
منابع مشابه
An Overview of the New Feature Selection Methods in Finite Mixture of Regression Models
Variable (feature) selection has attracted much attention in contemporary statistical learning and recent scientific research. This is mainly due to the rapid advancement in modern technology that allows scientists to collect data of unprecedented size and complexity. One type of statistical problem in such applications is concerned with modeling an output variable as a function of a sma...
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 کاملمدل 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 کاملIntegrating Person-Centered and Variable-Centered Analyses: Growth Mixture Modeling With Latent
Background: Many alcohol research questions require methods that take a person-centered approach because the interest is in finding heterogeneous groups of individuals, such as those who are susceptible to alcohol dependence and those who are not. A person-centered focus also is useful with longitudinal data to represent heterogeneity in developmental trajectories. In alcohol, drug, and mental ...
متن کاملIntegrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes.
BACKGROUND Many alcohol research questions require methods that take a person-centered approach because the interest is in finding heterogeneous groups of individuals, such as those who are susceptible to alcohol dependence and those who are not. A person-centered focus also is useful with longitudinal data to represent heterogeneity in developmental trajectories. In alcohol, drug, and mental h...
متن کامل