Results 11 to 20 of about 6,834,354 (294)

Structural Equation Modeling

, 2017
Structural equation modeling (SEM) is a multivariate statistical framework that is used to model complex relationships between directly observed and indirectly observed (latent) variables. SEM is a general framework that involves simultaneously solving systems of linear equations and encompasses other techniques such as regression, factor analysis ...
Catherine M, Stein, Nathan J, Morris, Noémi B, Hall, Nora L, Nock   +3 more
core   +10 more sources

Structural equation modeling in epidemiology

Cadernos de Saúde Pública, 2010
Structural equation modeling (SEM) is an important statistical tool for evaluating complex relations in several research areas. In epidemiology, the use and discussion of SEM have been limited thus far. This article presents basic principles and concepts
Leila Denise Alves Ferreira Amorim, Rosemeire L. Fiaccone, Carlos Antônio S. T. Santos, Tereza Nadya dos Santos, Lia Terezinha L. P. de Moraes, Nelson F. Oliveira, Silvano O. Barbosa, Darci Neves dos Santos, Letícia Marques dos Santos, Sheila M. A. Matos, Maurício L. Barreto   +10 more
doaj   +6 more sources

Non-linear structural equation modeling

, 2009
Research in the social sciences often includes hypotheses concerning interactive or nonlinear effects on a given outcome latent variable. When it comes to estimating such effects, however, there is lack of consensus on how to do so properly, particularly
Yang-Wallentin, Fan,, Yang-Hansen, Kajsa,   +1 more
core   +8 more sources

Using structural equation modelling to examine the relationship between place identity, sense of community, and environmental attitude

MethodsX, 2023
This study aimed to examine the association between place identity, sense of community, and environmental attitude. Within the theoretical framework, a connection has been identified among the variables of place identity, sense of community, and ...
Elif Kutay Karaçor, Ezgi Akçam
doaj   +1 more source

Structural Equation Modeling of In silico Perturbations

Frontiers in Genetics, 2021
Gene expression is controlled by multiple regulators and their interactions. Data from genome-wide gene expression assays can be used to estimate molecular activities of regulators within a model organism and extrapolate them to biological processes in ...
Jianying Li, Jianying Li, Jianying Li, Pierre R. Bushel, Pierre R. Bushel, Lin Lin, Lin Lin, Kevin Day, Tianyuan Wang, Tianyuan Wang, Francesco J. DeMayo, San-Pin Wu, Jian-Liang Li   +12 more
doaj   +1 more source

Modeling Model Misspecification in Structural Equation Models

Stats, 2023
Structural equation models constrain mean vectors and covariance matrices and are frequently applied in the social sciences. Frequently, the structural equation model is misspecified to some extent.
Alexander Robitzsch
doaj   +1 more source

Efficient Bayesian Structural Equation Modeling in Stan

Journal of Statistical Software, 2021
Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof.
Edgar C. Merkle, Ellen Fitzsimmons, James Uanhoro, Ben Goodrich   +3 more
doaj   +1 more source

Functional Structural Equation Model

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2022
AbstractIn this article, we introduce a functional structural equation model for estimating directional relations from multivariate functional data. We decouple the estimation into two major steps: directional order determination and selection through sparse functional regression. We first propose a score function at the linear operator level, and show
Kuang-Yao, Lee, Lexin, Li
openaire   +2 more sources

A semiparametric approach for structural equation modeling with ordinal data

, 2021
There is currently a lack of methods for non-linear structural equation modeling (NSEM) for non-parametric relationships between latent variables when data are ordinal. To this end, a semiparametric approach for flexible NSEMs without parametric forms is
Vegelius, Johan, Jin, Shaobo, Vegelius, Johan,, Jin, Shaobo,, Johan Vegelius, Shaobo Jin   +5 more
core   +1 more source

Structural equation model trees. [PDF]

Psychological Methods, 2013
In the behavioral and social sciences, structural equation models (SEMs) have become widely accepted as a modeling tool for the relation between latent and observed variables. SEMs can be seen as a unification of several multivariate analysis techniques.
Andreas M. Brandmaier, Timo von Oertzen, John J. McArdle, Ulman Lindenberger   +3 more
openaire   +3 more sources