Structural equation modelling: Adjudging model fit

2007 ◽  
Vol 42 (5) ◽  
pp. 815-824 ◽  
Author(s):  
Paul Barrett
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Model Fit ◽  
Equation Modelling

Pathways to flourishing of athletes: the role of team and individual strength use

2016 ◽  
Vol 47 (1) ◽  
pp. 23-34 ◽  
Author(s):  
Frederick Stander ◽  
Sebastiaan Rothmann ◽  
Elrie Botha
Keyword(s):  
Research Design ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Student Athletes ◽  
Well Being ◽  
Negative Association ◽  
Model Fit ◽  
Cross Sectional ◽  
Equation Modelling

Information is needed regarding the antecedents and outcomes of flourishing, particularly in sports contexts, where the study of this optimal well-being state has remained largely unexplored. This study examined the role of strength use to facilitate flourishing, enhance team embeddedness, and counter withdrawal behaviour of athletes. It further investigated the role of flourishing to retain athletes to their sport and teams and examined the role of team embeddedness in this relationship. A cross-sectional research design was utilised with structural equation modelling to assess model fit and examine postulated relationships. The sample comprised 235 student athletes. The results suggested that team strength use predicts flourishing. It further revealed positive paths to team embeddedness from both individual and team strength use. Flourishing was also positively related to team embeddedness. Lastly, a negative association was found between team embeddedness and withdrawal behaviour among the athletes.

scholarly journals Scale Development, Validation and Use of Structural Equation Modelling to Test the Impact of Consumer Confidence and Persuasibility on Dissonance

2016 ◽  
Vol 8 (1(J)) ◽  
pp. 58-68
Author(s):  
Sanjana Brijball Parumasur ◽  
Nabendra Parumasur
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Motor Vehicle ◽  
Model Fit ◽  
Consumer Confidence ◽  
Equation Modelling ◽  
Kwazulu Natal ◽  
The Impact ◽  
The Relationship

This study develops and validates a scale to assess the impact of consumer confidence and persuasibility on dissonance and applies the instrument to high-end consumers. It also assesses the relationship between consumer confidence and persuasibility as these constructs merge to influence dissonance. A sample of 200 new motor vehicle buyers who purchased from a leading and reputable motor vehicle company in KwaZulu-Natal, South Africa, was drawn using stratified random sampling based on range of motor vehicle (bottom, middle, top). Initially, exploratory factor analysis (EFA) was used to extract the factors. The reliability of the modified questionnaire was then assessed using Cronbach’s Coefficient Alpha. Thereafter, confirmation factor analysis (CFA) was undertaken to develop and test the model structure in SEM, which generated a good model fit. Pearson r was computed to assess the relationship amongst the dimensions. Using structural equation modelling, the results support a significant relationship between consumer persuasibility and dissonance and a significant but inverse relationship between consumer confidence and dissonance, and confidence and persuasibility respectively.

scholarly journals Comparative Performance of Estimation Maximization Among Residual Estimators: A Structural Equation Modelling Perspective

2021 ◽  
Vol 10 (2) ◽  
pp. 138
Author(s):  
A. R. Abdul-Aziz ◽  
Albert Luguterah ◽  
Bashiru I. I. Saeed
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Equation Model ◽  
Regression Method ◽  
Model Fit ◽  
The Other ◽  
Parameter Estimates ◽  
Comparative Performance ◽  
Equation Modelling ◽  
Comparative Model

As the concept of methodology has advanced, varied methods of estimating residuals have been developed including regression method, Bartlett’s method and Anderson-Rubin’s method. The study utilized estimation maximization approach together with other methods of estimating residuals under the structural equation model. The results showed that the strength of the existing methods in structural equation modelling are the weaknesses of the estimation maximization method, and vice versa. It was, therefore, found that from the comparative model fit information that the Bartlett’s based method gave better residual parameter estimates compared to the Regression based and the Anderson Rubin based methods. However, the estimation maximization method gave better residual parameter estimates than the other three existing methods; the Regression, Bartlett’s and the Anderson Rubin based methods.

Conceptualization and validation of the Neighbourhood Cohesion Index using exploratory structural equation modelling

2020 ◽  
Author(s):  
Allison Ross ◽  
Mark Searle
Keyword(s):  
Social Capital ◽  
Sense Of Community ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Factor Model ◽  
Model Fit ◽  
Equation Modelling ◽  
Confirmatory Factor ◽  
Phoenix Metropolitan Area ◽  
Three Factor

Abstract The Neighbourhood Cohesion Index (NCI) is a popular scale used to measure social capital and cohesion at the neighbourhood level. Despite its prevalent use, discrepancies exist with regard to the factor structure of the scale. We explore a two- versus three-factor conceptualization of the NCI by comparing results of confirmatory factor analysis and exploratory structural equation modelling (ESEM) for each model among a representative sample of adults (n = 798) in the Greater Phoenix Metropolitan Area (AS, USA). The ESEM three-factor model with the subscales of attraction, neighbouring, and sense of community was the best model fit. This three-factor model proved to be invariant across age, gender, health, and race within our sample. Given the need to determine consistent definitions and measurement of social capital and cohesion, these findings strengthen and support the use of the NCI as an instrument to measure attraction, neighbouring, and sense of community within neighbourhoods.

scholarly journals Comparative Performance of Estimation Maximization Among Residual Estimators: A Structural Equation Modelling Perspective

2021 ◽  
Vol 10 (2) ◽  
pp. 137
Author(s):  
A. R. Abdul-Aziz ◽  
Albert Luguterah ◽  
Bashiru I. I. Saeed
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Equation Model ◽  
Regression Method ◽  
Model Fit ◽  
The Other ◽  
Parameter Estimates ◽  
Comparative Performance ◽  
Equation Modelling ◽  
Comparative Model

As the concept of methodology has advanced, varied methods of estimating residuals have been developed including regression method, Bartlett’s method and Anderson-Rubin’s method. The study utilized estimation maximization approach together with other methods of estimating residuals under the structural equation model. The results showed that the strength of the existing methods in structural equation modelling are the weaknesses of the estimation maximization method, and vice versa. It was, therefore, found that from the comparative model fit information that the Bartlett’s based method gave better residual parameter estimates compared to the Regression based and the Anderson Rubin based methods. However, the estimation maximization method gave better residual parameter estimates than the other three existing methods; the Regression, Bartlett’s and the Anderson Rubin based methods.

Novelty and Threat in the Weapon Focus Effect: A Study with Structural Equation Modelling

2013 ◽  
Author(s):  
William Blake Erickson ◽  
James Michael Lampinen ◽  
Juliana Leding ◽  
Christopher S. Peters
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Equation Modelling ◽  
Weapon Focus ◽  
Focus Effect ◽  
Weapon Focus Effect
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