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.

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.

Structural equation modelling in sustainable development research

2021 ◽  
pp. 117-178
Author(s):  
Todor Krastevich ◽  
Atanaska Reshetkova
Keyword(s):  
Sustainable Development ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Theoretical Work ◽  
Equation Model ◽  
Clear Understanding ◽  
Development Research ◽  
Equation Modelling ◽  
Research Problems

This chapter is dedicated to the structural equation modelling methods applied to solve sustainable development research problems. A structural equation model is an abstraction of reality, and the researcher’s job is to build a model that approximates that reality as closely as possible. This task can be difficult if we do not have a clear understanding of what the reality of the studied phenomena is. Sometimes there is a sound theory behind the studied phenomena, and we can use variables that other researchers have already pointed out as valid indicators. In other situations, we have to start with a set of variables and test many hypothetical relationships based only on theoretical work. In this chapter, we focus on providing researchers with the knowledge needed to specify, evaluate, and interpret structural equation models (SEMs) in any field of social sciences, but most and foremost—in research related to the concept of sustainable development.

scholarly journals How the Mission Internalization Works? An Empirical Research

2020 ◽  
Vol 7 (1) ◽  
pp. 1-27
Author(s):  
Marta Mas-Machuca ◽  
◽  
Frederic Marimon
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Mission Statement ◽  
The Other ◽  
Fit Indices ◽  
Initial Model ◽  
Five Dimensions ◽  
Equation Modelling ◽  
Lagrange Multiplier Tests ◽  
The One

The objective of this paper is to analyse the process of the definition and deployment of a company’s mission, to obtain a better understanding of the employees’ role. On the basis of the literature investigating the dimensions of the internalization of a mission (leadership, importance, knowledge, co-workers’ engagement and implication), the paper proposes a model that shows the cause and effect relationships among these dimensions. A survey addressed to Spaniards was launched, and 400 valid responses were received. The data was analysed using Structural Equation Modelling (SEM) for an initial model that shows the causal relations among the dimensions for the internalization of a mission. An array of Lagrange multiplier tests suggested modifications for refining the model and proposed one with acceptable fit indices, where the last dimension to be accomplished is “Implication”. The findings show a direct effect between “Leadership” and “Implication”, and double mediation. On the one hand, there is second order mediation through “Knowledge” and “Importance”. On the other hand, there is mediation through “Co-workers’ engagement”. This sequencing among the five dimensions of the internalization of the mission gives new clues and evidence for managers that will help them to define and implement a successful mission statement.

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 Integration of Travel Agencies with other Supply Chain Members: Impact on Efficiency

2016 ◽  
Vol 7 (1) ◽  
pp. 1-17
Author(s):  
Darja Topolšek ◽  
Dejan Dragan
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Supply Chains ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
The Other ◽  
Data Envelopment ◽  
Operational Costs ◽  
Equation Modelling ◽  
Travel Agencies

Abstract The performance of tourism supply chains depends on the efficiency of all members involved, including the travel agencies. The paper addresses the analysis of relationships between the agencies’ external integration with other supply chain members on one side, and the efficiency of the agencies on the other. The data envelopment analysis is applied for the estimation of efficiencies, while the structural equation modelling (SEM) is conducted for identification of possible integration impacts on the efficiency. Results show that integration with other supply chain members indeed has some positive impacts on the agencies’ efficiency. Also, the developed SEM model implies that in-depth forms of collaboration would enable more effective exploitation of the identified relations between the integration and efficiency of the agencies. This finding could be an important guideline for the agencies’ management in the sense of achieving more satisfied customers and bigger profits, as well as reduced operational costs.

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 36th Cordoba Guitar Festival: Spectator Analysis using Structural Equation Modelling (SEM)

2018 ◽  
Author(s):  
Juan V. Fruet-Cardozo ◽  
Jesus C. Perez-Galvez ◽  
Carol Jara-Alba ◽  
Gema Gomez-Casero
Keyword(s):  
Economic Impact ◽  
Structural Equation Model ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Equation Model ◽  
Attitudinal Loyalty ◽  
Cultural Events ◽  
Equation Modelling ◽  
The City

The Cordoba Guitar Festival is one of the most important cultural events in Spain. This article analyses the musical preferences, satisfaction, attitudinal loyalty and behavioural loyalty of spectators who attended the 36th festival held in July 2016, as well as the festival’s economic impact on the city. To achieve this aim, a structural equation model (SEM) was used. The results show the goodness-of-fit of the model and indicate that the observed data fit the expected dataset.

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.

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