Model Fit Estimation for Multilevel Structural Equation Models
Structural equation modeling : a multidisciplinary journal, 2020 Structural equation modeling (SEM) provides an extensive toolbox to analyze the multivariate interrelations of directly observed variables and latent constructs.
L. Rappaport, A. Amstadter, M. Neale
semanticscholar +1 more source
Structural equation model: influence on tourist satisfaction with destination atributes [PDF]
Tourism and Hospitality Management, 2017 Purpose – To present a model that expresses the relationships observed between a set of independent variables that condition overall satisfaction with a tourist destination, allowing to discover the potential for improvement of this indicator ...
Reyner Pérez Campdesuñer +3 more
doaj +1 more source
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 +3 more
openaire +4 more sources
Data Smoothing Structural Equation Modeling to Study Quality of Life and Model Selection
, 2023 In this paper, we propose and present a nonparametric data smoothing method via the kernel smoothing functions to make structural equation modeling (SEM) robust to a specific type of model misspecification, that is an incorrect distributional assumption.
Hamparsum Bozdogan +3 more
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Structural Equation Model (SEM) of Social Capital with Landowner Intention
Economies, 2023 The continuous loss of farmland in Indonesia is a major problem in the food production industry. The Gempol-Pandaan road, which is a section of the Trans Java toll road and connects the major cities of Surabaya and Malang, gives the Pandaan District of ...
Achmad T. Nugraha +6 more
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Formative Vs. Reflective Measurement Model: Guidelines for Structural Equation Modeling Research
, 2020 Various social sciences researchers have always debated the operationalisation of formative or a reflective measurement in Partial Least Squares Structural Equation Modeling (PLS-SEM).
M. Hanafiah
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Prediction of type A behaviour: A structural equation model
SA Journal of Industrial Psychology, 2009 The predictability of Type A behaviour was measured in a sample of 375 professionals with a shortened version of the Jenkins Activity Survey (JAS). Two structural equation models were constructed with the Type A behaviour achievement sub-scale and global
René van Wyk +4 more
doaj +1 more source
Developing the Audit Quality Measurement Model Using Structural Equation Modeling [PDF]
Iranian Journal of Accounting, Auditing & Finance, 2020 The purpose of the present study is to investigate the factors affecting audit quality. For this purpose, the concepts of audit quality were extracted using the proposed conceptual model.
Alireza Aghaie Ghehie +2 more
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Approaches to History Teaching According to a Structural Equation Model
Frontiers in Education, 2022 Approaches to the teaching and learning of history imply a series of changes and improvements which are adapted to the new epistemological and disciplinary contexts.
Catalina Guerrero-Romera +2 more
doaj +1 more source
A Simulation Study of Polychoric Instrumental Variable Estimation in Structural Equation Models
, 2016 Copyright © Taylor & Francis Group, LLC. Data collected from questionnaires are often in ordinal scale. Unweighted least squares (ULS), diagonally weighted least squares (DWLS) and normal-theory maximum likelihood (ML) are commonly used methods to fit
Jin, Shaobo +5 more
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