Results 1 to 10 of about 185,434 (258)

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

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 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
  +8 more sources

Products of Variables in Structural Equation Models

Structural Equation Modeling: A Multidisciplinary Journal, 2023
A general method is introduced in which variables that are products of other variables in the context of a structural equation model (SEM) can be decomposed into the sources of variance due to the multiplicands. The result is a new category of SEM which we call a Products of Variables Model (PoV).
Steven M. Boker, Timo von Oertzen, Joshua N. Pritikin, Michael D. Hunter, Timothy R. Brick, Andreas M. Brandmaier, Michael C. Neale   +6 more
openaire   +3 more sources

EMPOWERMENT AND TRANSFORMATIONAL LEADERSHIP BEHAVIORS AND EMPLOYEE WELL-BEING: THE MEDIATING ROLE OF ORGANIZATIONAL SUPPORT [PDF]

Journal of Applied Structural Equation Modeling
This study examines the comparative influence of empowerment leadership and transformational leadership behaviours on employees' psychological well-being (PWB) while considering the mediating effect of perceived organisational support.
Sara T. Msuya
doaj   +1 more source

CONVENIENCE SAMPLING: A REVIEW AND GUIDELINES FOR QUANTITATIVE RESEARCH [PDF]

Journal of Applied Structural Equation Modeling
Convenience sampling is widely used in business and management research, yet its application in quantitative studies is often criticized for lacking rigor and transparency.
Mumtaz Ali Memon, Ramayah Thurasamy, Hiram Ting, Jun-Hwa Cheah   +3 more
doaj   +1 more source

On Structural Equation Model Equivalence

Multivariate Behavioral Research, 1999
A necessary and sufficient condition for equivalence of structural equation models is presented. Compared to existing rules for equivalent model generation (Stelzl, 1986; Lee & Hershberger, 1990; Hershberger, 1994), it is applicable to a more general class including models with parameter restrictions and models that may or may not fulfil assumptions of
Raykov, T, Penev, Spiridon
openaire   +3 more sources

Subgroup discovery in structural equation models.

Psychological Methods, 2021
Structural equation modeling (SEM) is one of the most popular statistical frameworks in the social and behavioural sciences. Often, detection of groups with distinct sets ofparameters in structural equation models (SEM) are of key importance for appliedresearchers, for example, when investigating differential item functioning for a mentalability test ...
Christoph Kiefer, Florian Lemmerich, Benedikt Langenberg, Axel Mayer   +3 more
openaire   +4 more sources