scholarly journals Investigating the Mediation and Moderation Effect of Students’ Addiction to Virtual Reality Games: A Perspective of Structural Equation Modeling

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Xuesong Zhai ◽  
Fahad Asmi ◽  
Rongting Zhou ◽  
Intikhab Ahmad ◽  
Muhammad Azfar Anwar ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Estimation Method ◽  
Reliability And Validity ◽  
Likelihood Estimation ◽  
Equation Model ◽  
Addictive Behavior ◽  
Equation Modeling ◽  
Moderation Effect

Virtual reality (VR) games construct an immersive context for the youth’s entertainment and learning. VR game addiction (VAD) occurs simultaneously and brings about psychological issues. The current research employed a maximum likelihood estimation method to construct a structural equation model, by which learners’ VR consumption behaviors were examined. The bootstrapping approach was adopted to explore further the mediation of VR realism (VRR) and the moderation of VR affordance on learners’ VAD, which potentially leads to distressing behavioral and psychological circumstances. Data were collected from 575 students recruited in the survey, which was followed by a test of reliability and validity through confirmative factor analysis. Results concluded that VRR and consumers’ cognitive satisfaction played a significant role as mediators while conceptualizing addictive behavior based on VR-perceived experience of consumers, self-efficacy, and interactivity. Moreover, this study conceptualized addictive behavior toward VR games through a structural equation model in a media-rich environment and suggested practical implications to reduce addictive behavior.

scholarly journals Empirical Analysis in the Relationship Between the Consumption and Economic Growth Based on the Structural Equation Model

2016 ◽  
Vol 4 (5) ◽  
pp. 419-427
Author(s):  
Erxin Zhang ◽  
Wancai Yang
Keyword(s):  
Economic Growth ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Estimation Method ◽  
Likelihood Estimation ◽  
Equation Model ◽  
Positive Effects ◽  
Structure Equation Model ◽  
The Relationship ◽  
Maximum Likelihood Estimation Method

AbstractThis paper constructs the relationship between consumption and economic growth by a structure equation model and uses the provincial panel data of 29 provinces (municipalities, autonomous regions) from 1992 to 2010 in China, using maximum likelihood estimation method to analyze empirically the relationship between the consumption and economic growth in China. The result shows that the path coefficients between consumptions and economic growth are all positive, that suggests the consumption has significant positive effects on the economic growth. Also in this paper, it gives a new try to use a structural equation model to research the relationship between consumption and economic growth.

Analysis of Elderly Mobility by Structural Equation Modeling

2003 ◽  
Vol 1854 (1) ◽  
pp. 81-89 ◽  
Author(s):  
Sungyop Kim
Keyword(s):  
Structural Equation Model ◽  
Urban Form ◽  
Structural Equation ◽  
Elderly Population ◽  
Puget Sound ◽  
The Elderly ◽  
Equation Model ◽  
Education Level ◽  
Equation Modeling ◽  
Elderly Mobility

Mobility is a critical element of quality of life. This is as true for the elderly population as for the larger population. The elderly often have limited physical abilities and financial constraints that might reduce their mobility. Helping the growing elderly population to maintain decent mobility is a critical challenge for transportation planning and policy. For this, the factors that influence the mobility of the elderly population (elderly mobility) must be understood. Only a few systematic studies, however, have been published. Descriptive statistics of the potentially influential factors make it difficult to assess their effects on elderly mobility. The transportation mobility of retired people age 65 years or older in the Puget Sound region of Washington State was analyzed by using a structural equation model. The statistical significance and relative effects of various personal and household characteristics and urban form on elderly mobility were tested. The structural equation model finds statistically significant relationships between age, gender, transportation disability, possession of a driver's license, and education level and elderly mobility. Among these variables, age and education level show the strongest effects. Urban form, however, seems to be insignificant.

scholarly journals Estimating Three-way Latent Interaction Effects in Structural Equation Modeling

2016 ◽  
Vol 5 (6) ◽  
pp. 73
Author(s):  
Birhanu Worku Urge ◽  
Kepher Makambi ◽  
Anthony Wanjoya
Keyword(s):  
Sample Size ◽  
Structural Equation Model ◽  
Interaction Effect ◽  
Latent Variable ◽  
Structural Equation ◽  
Error Control ◽  
Equation Model ◽  
Equation Modeling ◽  
Type I ◽  
Nonlinear Structural Equation

A Monte Carlo simulation was performed for estimating and testing hypotheses of three-way interaction effect in latent variable regression models. A considerable amount of research has been done on estimation of simple interaction and quadratic effect in nonlinear structural equation. The present study extended to three-way continuous latent interaction in structural equation model. The latent moderated structural equation (LMS) approach was used to estimate the parameters of the three-way interaction in structural equation model and investigate the properties of the method under different conditions though simulations. The approach showed least bias, standard error,and root mean square error as indicator reliability and sample size increased. The power to detect interaction effect and type I error control were also manipulated showing that power increased as interaction effect size, sample size and latent covariance increased.

scholarly journals Un modelo de ecuaciones estructurales sobre el efecto de la salud en la intención de practicar desplazamiento activo: estudio de la invarianza factorial por sexo y edad (A structural equation model about the effect of health on behaviour intention to pra

Retos ◽  
2021 ◽  
Vol 44 ◽  
pp. 386-394
Author(s):  
José Antonio Ortiz Sánchez ◽  
José M. Ramírez Hurtado ◽  
Ignacio Contreras
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Structural Model ◽  
Reliability And Validity ◽  
Measurement Model ◽  
Health Problems ◽  
Equation Model ◽  
Factorial Invariance ◽  
Active Commuting ◽  
Convenience Sample

  En los últimos años ha habido un elevado crecimiento de problemas de salud en las personas, tales como obesidad, sobrepeso, diabetes, etc. Una forma de combatir este problema es el desplazamiento activo. El objetivo de este trabajo es evaluar el efecto de la salud, el confort y la conciencia medioambiental sobre la intención de practicar desplazamiento activo, así como estudiar la invarianza factorial por sexo y edad. Para ello se diseñó un cuestionario y se distribuyó mediante un muestreo por conveniencia con efecto de bola de nieve, obteniéndose 448 respuestas válidas. Para el análisis se especificó y estimó un modelo de ecuaciones estructurales con AMOS. Los resultados permitieron verificar la fiabilidad y validez del modelo de medida y del modelo estructural. De igual modo, los resultados permitieron concluir que se cumple la invarianza factorial para la variable sexo, pero no se cumple la invarianza factorial estricta para la variable edad. Abstract. A growing of health problems in people have been in recent years, as obesity, overweight, diabetes, etc. Active commuting is a way to combat these problems. The objective of this work is to assess the effect of health, comfort and environmental awareness on behaviour intention to practice active commuting, as well as to study the factorial invariance by sex and age. For this purpose, a questionnaire was designed and distributed by means of a convenience sample with snowball effect. 448 responses were obtained from this sample. The specification and estimation of structural equation model with AMOS was designed for the analysis of the data. The results show that the reliability and validity of measurement model and structural model is verified. The results also show that factorial invariance by sex is verified but strict factorial invariance for age is not verified.

scholarly journals A SYSTEMATIC REVIEW OF STRUCTURAL EQUATION MODEL (SEM)

2020 ◽  
Vol 1 (2) ◽  
pp. 27-39
Author(s):  
H. O. Owolabi ◽  
J. K. Ayandele ◽  
D. D. Olaoye
Keyword(s):  
Structural Equation Model ◽  
Measurement Errors ◽  
Structural Equation ◽  
Statistical Technique ◽  
Equation Model ◽  
Equation Modeling ◽  
Weak Assumption ◽  
Multivariate Statistical ◽  
Software Packages ◽  
Complex Relationships

Structural Equation Model (SEM) is a multivariate statistical technique that has been explored to test relationships between variables. The use of SEM to analyze relationship between variables is premised on the weak assumption of path analysis, regression analysis and so on; that variables are measured without error. This review thus sheds light on the meaning of SEM, its assumptions, steps and some of the terms used in SEM. The importance of item parcelling to SEM and its methods were briefly examined. It also dealt on the stages involved in SEM, similarities and differences between SEM and conventional statistical methods, software packages that can be used for SEM. This article employed systematic literature review method because it critically synthesized research studies and findings on structural equation modeling (SEM). It could be concluded that SEM is useful in analyzing a set of relationships between variables using diagrams. SEM can also be useful in minimizing measurement errors and in enhancing reliability of constructs. Based on this, it is recommended that SEM should be employed to test relationship between variables since it can explore complex relationships among variables such as direct, indirect, spurious, hierarchical and non-hierarchical.

Factors affecting health promoting behavior among older women in Korea: a structural equation model

2020 ◽  
Author(s):  
Jihyun Oh
Keyword(s):  
Social Support ◽  
Older Women ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Perceived Benefits ◽  
Health Promoting Behaviors ◽  
Health Promoting ◽  
Fit Index

Summary The purpose of this study was to explain the health promoting behaviors of older women in South Korea using a structural equation model. The health promotion model developed by Pender was used. A survey using self-administered questionnaires was carried out between 2 October 2016 and 26 November 2016, with 252 older women ≥65 years living in Korea. The data were analyzed using structural equation modeling. The fitness parameters of the modified model (χ2 = 227.243, df = 176, χ2/df = 1.29, p = 0.006, root mean square error of approximation = 0.034, goodness of fit index = 0.927, Tucker−Lewis Index = 0.979, comparative fit index = 0.984, normed fit index = 0.933) indicated its suitability as the research model. Perceived benefits of action and social support directly influenced health promoting behavior, and prior related behavior indirectly influenced health promoting behavior. Interventions should aim to directly improve social support and perceived benefits to increase health promoting behaviors.

Estimation in SEM: A Concrete Example

2007 ◽  
Vol 32 (1) ◽  
pp. 110-120 ◽  
Author(s):  
John M. Ferron ◽  
Melinda R. Hess
Keyword(s):  
Structural Equation ◽  
Likelihood Estimation ◽  
Equation Model ◽  
Equation Modeling ◽  
Unknown Parameters ◽  
Technical Literature ◽  
Partial Derivatives ◽  
First Order ◽  
The Matrix ◽  
Definition Of

A concrete example is used to illustrate maximum likelihood estimation of a structural equation model with two unknown parameters. The fitting function is found for the example, as are the vector of first-order partial derivatives, the matrix of second-order partial derivatives, and the estimates obtained from each iteration of the Newton-Raphson algorithm. The goal is to provide a concrete illustration to help those learning structural equation modeling bridge the gap between the verbal descriptions of estimation procedures and the mathematical definition of these procedures provided in the technical literature.

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