Results 281 to 290 of about 493,448 (347)

STRUCTURAL EQUATION MODEL

Statistical Methods for Biomedical Research, 2018
: The study aimed to study and analyze the impact of financial inclusion on the relationship between digital financial services and the performance of the organization by applying to small and medium enterprises4 To meet the study's objective, a survey ...
J. L. Carrasco
semanticscholar   +1 more source

Penalized Structural Equation Models

Structural Equation Modeling: A Multidisciplinary Journal, 2023
Penalized structural equation models (PSEM) is a new powerful estimation technique that can be used to tackle a variety of difficult structural estimation problems that can not be handled with previously developed methods.
T. Asparouhov, B. Muthén
semanticscholar   +1 more source

Assessing the predictive performance of structural equation model estimators

Journal of Business Research, 2016
Joerg Evermann, Mary Tate
exaly   +2 more sources

Advances in Bayesian Model Fit Evaluation for Structural Equation Models

Structural Equation Modeling: A Multidisciplinary Journal, 2020
In this article, we discuss the Posterior Predictive P-value (PPP) method in the presence of missing data, the Bayesian adaptation of the approximate fit indices RMSEA, CFI and TLI, as well as the Bayesian adaptation of the Wald test for nested models ...
T. Asparouhov, B. Muthén
semanticscholar   +1 more source

Residual Structural Equation Models

Structural Equation Modeling: A Multidisciplinary Journal, 2022
The residual variables in a structural equation model can be used to create a secondary structural model which we call the residual structural equation model (RSEM).
T. Asparouhov, B. Muthén
semanticscholar   +1 more source

Fit Indices in Structural Equation Modeling and Confirmatory Factor Analysis: Reporting Guidelines

Asian Journal of Economics Business and Accounting
This research explores the essential aspects of reporting fit indices in Structural Equation Modeling (SEM), focusing on their significance, methodologies for evaluation, and implications for model validity.
S. S, T. Mohanasundaram
semanticscholar   +1 more source

Structural Equation Modeling: Threshold Criteria for Assessing Model Fit

Methodological Issues in Management Research: Advances, Challenges, and the Way Ahead, 2019
Nowadays, structural equation modeling is a buzz word in the arena of research in management, social sciences, and other equivalent fields. Although the theoretical base bears its significance in building the measurement and structural models, assessing ...
Malabika Sahoo
semanticscholar   +1 more source

Multiple Group Alignment for Exploratory and Structural Equation Models

Structural Equation Modeling: A Multidisciplinary Journal, 2022
The multiple group alignment methodology is adapted to the general structural equation model. This includes models with cross-loadings, covariates, and structural relations among the factors.
T. Asparouhov, B. Muthén
semanticscholar   +1 more source

A tutorial on assessing statistical power and determining sample size for structural equation models.

Psychological methods, 2021
Structural equation modeling (SEM) is a widespread approach to test substantive hypotheses in psychology and other social sciences. However, most studies involving structural equation models neither report statistical power analysis as a criterion for ...
Lisa J. Jobst, Martina Bader, Morten Moshagen   +2 more
semanticscholar   +1 more source

Frequentist Model Averaging in Structural Equation Modelling

Psychometrika, 2019
Model selection from a set of candidate models plays an important role in many structural equation modelling applications. However, traditional model selection methods introduce extra randomness that is not accounted for by post-model selection inference.
Jin, Shaobo, Ankargren, Sebastian
openaire   +2 more sources