Results 11 to 20 of about 6,344,239 (243)

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

Regularized Structural Equation Modeling [PDF]

Structural Equation Modeling, 2016
A new method is proposed that extends the use of regularization in both lasso and ridge regression to structural equation models. The method is termed regularized structural equation modeling (RegSEM). RegSEM penalizes specific parameters in structural equation models, with the goal of creating easier to understand and simpler models.
Kevin Grimm, John J McArdle
exaly   +3 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   +9 more sources

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
  +10 more sources

Structural parameters under partial least squares and covariance-based structural equation modeling : a comment on Yuan and Deng (2021) [PDF]

, 2023
In their article, Yuan and Deng argue that a structural parameter under partial least squares structural equation modeling (PLS-SEM) is zero if and only if the same structural parameter is zero under covariance-based structural equation modeling (CB-SEM).
Henseler, Jorg, Kline, Rex B., Rosseel, YvesPP018010009749090000-0002-4129-4477F4D626CE-F0ED-11E1-A9DE-61C894A0A6B4, Trinchera, Laura, Schuberth, Florian, Ronkko, Mikko   +5 more
core   +3 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

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

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

Exploratory Structural Equation Modeling of Personality Data [PDF]

, 2014
The current article compares the use of exploratory structural equation modeling (ESEM) as an alternative to confirmatory factor analytic (CFA) models in personality research.
Hughes, David; id_orcid, Hughes, David J, Booth, Tom   +2 more
core   +1 more source

The model of creating an entrepreneurial attitude of tourism students (case study: tourism students of universities in Yazd province) [PDF]

Muṭāli̒āt-i Mudīriyyat-i Gardishgarī
The purpose of this research is to design a model for creating entrepreneurial attitudes among tourism students at universities in Yazd . The statistical population of this research includes two groups: tourism experts and tourism students from ...
Ali Saffari Darberazi, reza derakhshan, Morteza Bazrafshan, Ahmad Hajimoradi,   +3 more
doaj   +1 more source