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.

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 Structural Equation Modeling (SEM)-Based Meta-Analysis

2021 ◽  
Author(s):  
Mike W.-L. Cheung
Keyword(s):  
Social Sciences ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Meta Analysis ◽  
Equation Model ◽  
Equation Modeling ◽  
Future Directions ◽  
Software Packages ◽  
Meta Analyses

Structural equation modeling (SEM) and meta-analysis are two popular techniques in the behavioral, medical, and social sciences. They have their own research communities, terminologies, models, software packages, and even journals. This chapter introduces SEM-based meta-analysis, an approach to conduct meta-analyses using the SEM framework. By conceptualizing studies in a meta-analysis as subjects in a structural equation model, univariate, multivariate, and three-level meta-analyses can be fitted as structural equation models using definition variables. We will review fixed-, random-, and mixed-effects models using the SEM framework. Examples will be used to illustrate the procedures using the metaSEM and OpenMx packages in R. This chapter closes with a discussion of some future directions for research.

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.

Application of Structural Equation Model and AMOS Software

2014 ◽  
Vol 687-691 ◽  
pp. 1577-1579 ◽  
Author(s):  
Zhi Rong Wei
Keyword(s):  
Theoretical Model ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Applied Linguistics ◽  
Group Analysis ◽  
Theoretical Models ◽  
Equation Model ◽  
Equation Modeling ◽  
Software Analysis ◽  
Depth Analysis

The Amos 17 is the structural equation model (Structural Equation Modeling, SEM), which is one of the important software analysis. With the application of SEM technology in depth, analysis of multi group structural equation model (Multiple-Group Analysis) has gradually attracted researcher’s attention.. Stability of deep test theoretical model by examining the effect of its regulating variable, and the method is not only suitable for fitting degree test theoretical models in the regulation of variables of different level, but also for the fitting problem to test the tracking data and theoretical model. Through a case study of their own, using Amos 17 software as the basis introduces the basic principle of multi group structural equation model analysis technique and its use method in the study of Applied Linguistics to domestic applied linguistics intends to use the method which will provide examples of reference.

scholarly journals The Effectiveness of Fear of Leprosy as a Mediator of the Relationship Between Resilience, Coping Resources, and Coping: A Correlation Study Through The Structural Equation Model in Patients with Leprosy

2021 ◽  
Author(s):  
Cita Rosita Sigit Prakoeswa ◽  
Medhi Denisa Alinda ◽  
Bagus Haryo Kusumaputra ◽  
Abd. Nasir ◽  
Ah Yusuf ◽  
...  
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Positive Relationship ◽  
Negative Relationship ◽  
Equation Model ◽  
Coping Resources ◽  
Equation Modeling ◽  
Adaptive Coping ◽  
And Coping ◽  
The Relationship

Abstract Background: Strengthening the argument for better problem solving can reduce excessive worry, so as to reduce fear due to leprosy disability, because the impact arising from leprosy disability can affect the chosen coping strategy. Methods: The purpose of this study was to test the model of the relationship between resilience, coping resources, and coping through structural equation modeling to identify the role of disability fear as a mediator. The leprosy disability fear scale, coping resources scale, and coping scale have been used to collect data, with 125 participants involved in this study through convenience sampling, consisting of women (33.60%), men 66.40 %. Structural equation model is used to test through cross-sectional design. Results: The results of the study report that there is a negative relationship between coping resources and fear of leprosy disability, and it is known that there is a positive relationship with coping. Meanwhile, The test results showed a negative relationship between resilience and fear of leprosy disability, and a positive relationship with coping. Furthermore, to coping, fear of leprosy disability shows a negative relationship. Conclusion: Coping in seeking health assistance is strongly influenced by resilience and coping resources, both directly and indirectly through the mediator of fear of leprosy disability. As a result, in seeking health assistance, individuals who have strong self-defense and have extensive coping resources, have adaptive coping, thereby reducing the fear of leprosy disability, and thus can maintain adaptive coping during the leprosy healing process.

scholarly journals The interplay between anxiety, fear, protective behaviors, compassion, and resilience among older adults during a COVID-19 lockdown: a structural equation modeling study

2021 ◽  
Author(s):  
Xin Ying Lim ◽  
Ai Che Yap ◽  
Rathi Mahendran ◽  
Junhong Yu
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Social Services ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Short Form ◽  
Equation Model ◽  
Vulnerable Groups ◽  
Equation Modeling ◽  
Protective Behaviors

Abstract The implementation of lockdown measures to curb the transmission of Coronavirus disease-2019 (COVID-19) has brought about significant psychological impacts and older adults have been identified as one of the vulnerable groups. In the current COVID-19 context among older adults in the community, the fear of COVID-19, anxiety symptoms, compassion, resilience, and the practice of protective behaviors are possibly related to each other in several ways. How these factors relate to each other would have important implications in managing the spread of the disease and its mental health consequences. To this end, we modeled their interrelationships using a structural equation model. Older adults (N = 421), aged 60 and above completed various questionnaires—COVID-19 Fear Inventory, Short form of the Geriatric Anxiety Inventory, COVID-19 Risky and Protective Behaviours, Resilience Appraisals Scale, and Compassion Scale during a COVID-19 lockdown. The relationships between these variables were assessed within a structural equation model. The findings showed that older adults who are more compassionate engage in protective behaviors more frequently. Additionally, frequent practice of protective behaviors and greater resilience predicted lower anxiety among older adults. Greater fear predicted higher anxiety levels but did not significantly influence an individual’s engagement in protective behaviors. Mental health services are crucial in fostering resilience and supporting older adults psychologically. Social services are also necessary in maintaining and enhancing social support for older adults. Importantly, these findings suggest that public health communications could promote compassion and avoid using a fear-based approach to increase engagement in protective behaviors.

scholarly journals The Effectiveness of Fear of Leprosy As a Mediator of The Relationship Between Resilience, Coping Resources, and Coping: A Correlation Study Through The Structural Equation Model In Patients With Leprosy

2021 ◽  
Author(s):  
Cita Rosita Sigit Prakoeswa ◽  
Medhi Denisa Alinda ◽  
Bagus Haryo Kusumaputra ◽  
Abd. Nasir ◽  
Ah Yusuf ◽  
...  
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Positive Relationship ◽  
Negative Relationship ◽  
Equation Model ◽  
Coping Resources ◽  
Equation Modeling ◽  
Adaptive Coping ◽  
And Coping ◽  
The Relationship

Abstract Background: Strengthening the argument for better problem solving can reduce excessive worry, so as to reduce fear due to leprosy disability, because the impact arising from leprosy disability can affect the chosen coping strategy. Methods: The purpose of this study was to test the model of the relationship between resilience, coping resources, and coping through structural equation modeling to identify the role of disability fear as a mediator. The leprosy disability fear scale, coping resources scale, and coping scale have been used to collect data, with 125 participants involved in this study through convenience sampling, consisting of women (33.60%), men 66.40 %. Structural equation model is used to test through cross-sectional design. Results: The results of the study report that there is a negative relationship between coping resources and fear of leprosy disability, and it is known that there is a positive relationship with coping. Meanwhile, The test results showed a negative relationship between resilience and fear of leprosy disability, and a positive relationship with coping. Furthermore, to coping, fear of leprosy disability shows a negative relationship. Conclusion: Coping in seeking health assistance is strongly influenced by resilience and coping resources, both directly and indirectly through the mediator of fear of leprosy disability. As a result, in seeking health assistance, individuals who have strong self-defense and have extensive coping resources, have adaptive coping, thereby reducing the fear of leprosy disability, and thus can maintain adaptive coping during the leprosy healing process.

The Relationship Among Non-English Majors’ Autonomous Learning Ability, Learning Burnout and English Grades: A Structural Equation Modeling Study

2019 ◽  
Vol 42 (1) ◽  
pp. 79-91 ◽  
Author(s):  
Youkun Wang
Keyword(s):  
Structural Equation Modeling ◽  
Empirical Study ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Autonomous Learning ◽  
Learning Ability ◽  
Equation Modeling ◽  
English Majors ◽  
The Relationship

Abstract This study aims to explore the relationship among autonomous learning ability, learning burnout and English grades by structural equation modeling. The survey of 481 non-English majors showed that autonomous learning ability, learning burnout and English grades correlated significantly with each other, and the structural equation model of the three variables was stable. This suggests that the stronger the autonomous learning ability, the lower the level of learning burnout, the higher the English grades. This empirical study shows that the autonomous learning ability of non-English majors can influence the level of learning burnout, which in turn influences English grades. Learning burnout can mediate the effects of autonomous learning ability on English grades.

scholarly journals Entrepreneurship Education: New Strategies in Unemployment during the Economic Crisis of Thailand

2021 ◽  
Vol 58 (1) ◽  
pp. 3864-3869
Author(s):  
Suppamas Rattanapipat, Benyada Laotanataworn, Laor Mamah
Keyword(s):  
Structural Equation Model ◽  
Teaching Methods ◽  
Empirical Data ◽  
Structural Equation ◽  
Entrepreneurship Education ◽  
Structured Interview ◽  
Equation Model ◽  
Equation Modeling ◽  
Institutional Setting ◽  
Individual Factor

The study aims to develop a structural equation model of entrepreneurship education during the current unemployment crisis of Thailand by using mixed methods approach. In part of quantitative research, the research tool was questionnaires. Data were collected from 420 samples. Structural Equation Modeling (SEM) was conducted for analyzing the model with empirical data. In part of qualitative research, the key informants was 5 person. Data gathering conducted by in-depth interview which were semi-structured interview. The major findings showed that factors that affect the entrepreneurship education were institutional setting, contents of course, teaching methods and individual factor. Considering the structural equation model of entrepreneurship education during the current unemployment crisis of Thailand had a good fit with the empirical data (χ^2=556.45, df=213, RMSEA=0.054, CFI=0.95, SRMR=0.068). Teaching methods had the highest direct effect on entrepreneurship education, while institutional setting had the highest indirect effect. This new framework can be used to inform thinking in the area of entrepreneurship education to address the unemployment crisis.

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