scholarly journals Determining rural risk for aneurysmal subarachnoid hemorrhages: A structural equation modeling approach

2016 ◽  
Vol 7 (04) ◽  
pp. 559-565 ◽  
Author(s):  
Linda Jayne Nichols ◽  
Seana Gall ◽  
Christine Stirling
Keyword(s):  
Risk Factors ◽  
Structural Equation Modeling ◽  
Conceptual Framework ◽  
Structural Equation ◽  
System Level ◽  
Equation Modeling ◽  
Modifiable Risk Factors ◽  
Cumulative Impact ◽  
The Impact ◽  
The Relationship

ABSTRACTAn aneurysmal subarachnoid hemorrhage (aSAH) carries a high disability burden. The true impact of rurality as a predictor of outcome severity is unknown. Our aim is to clarify the relationship between the proposed explanations of regional and rural health disparities linked to severity of outcome following an aSAH. An initial literature search identified limited data directly linking geographical location, rurality, rural vulnerability, and aSAH. A further search noting parallels with ischemic stroke and acute myocardial infarct literature presented a number of diverse and interrelated predictors. This a priori knowledge informed the development of a conceptual framework that proposes the relationship between rurality and severity of outcome following an aSAH utilizing structural equation modeling. The presented conceptual framework explores a number of system, environmental, and modifiable risk factors. Socioeconomic characteristics, modifiable risk factors, and timely treatment that were identified as predictors of severity of outcome following an aSAH and within each of these defined predictors a number of contributing specific individual predictors are proposed. There are considerable gaps in the current knowledge pertaining to the impact of rurality on the severity of outcome following an aSAH. Absent from the literature is any investigation of the cumulative impact and multiplicity of risk factors associated with rurality. The proposed conceptual framework hypothesizes a number of relationships between both individual level and system level predictors, acknowledging that intervening predictors may mediate the effect of one variable on another.

scholarly journals COVID-19 Risk Factors, Economic Factors, and Epidemiological Factors nexus on Economic Impact: Machine Learning and Structural Equation Modelling Approaches

2021 ◽  
pp. 395-405
Author(s):  
David Opeoluwa Oyewola ◽  
Emmanuel Gbenga Dada ◽  
Juliana Ngozi Ndunagu ◽  
Terrang Abubakar Umar ◽  
Akinwunmi S.A
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Structural Equation Modeling ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Modeling ◽  
Support Vector ◽  
Economic Factors ◽  
Negative Effects ◽  
The Impact

Since the declaration of COVID-19 as a global pandemic, it has been transmitted to more than 200 nations of the world. The harmful impact of the pandemic on the economy of nations is far greater than anything suffered in almost a century. The main objective of this paper is to apply Structural Equation Modeling (SEM) and Machine Learning (ML) to determine the relationships among COVID-19 risk factors, epidemiology factors and economic factors. Structural equation modeling is a statistical technique for calculating and evaluating the relationships of manifest and latent variables. It explores the causal relationship between variables and at the same time taking measurement error into account. Bagging (BAG), Boosting (BST), Support Vector Machine (SVM), Decision Tree (DT) and Random Forest (RF) Machine Learning techniques was applied to predict the impact of COVID-19 risk factors. Data from patients who came into contact with coronavirus disease were collected from Kaggle database between 23 January 2020 and 24 June 2020. Results indicate that COVID-19 risk factors have negative effects on epidemiology factors. It also has negative effects on economic factors.

Emotional brand attachment: a factor in customer-bank relationships

2016 ◽  
Vol 34 (2) ◽  
pp. 136-150 ◽  
Author(s):  
Shalom Levy ◽  
Hayiel Hino
Keyword(s):  
Factor Analysis ◽  
Conceptual Framework ◽  
Structural Equation ◽  
Positive Relationship ◽  
Service Providers ◽  
Equation Modeling ◽  
Emotional Attachment ◽  
Content Type ◽  
The Impact ◽  
The Relationship

Purpose – The purpose of this paper is to evaluate the relationship between customers’ emotional attachment toward bank service providers and bank loyalty. In particular, the study examines the impact of the emotional attachment factor while treating established effecting variables by employing a new conceptual framework that integrates these variables. Design/methodology/approach – The study employs data collected from a survey involving 436 participants. The study employs Exploratory Factor Analysis and Confirmatory Factor Analysis methods following a path analysis method and structural equation modeling for testing research hypotheses. Findings – The empirical results support the claim that the conceptual framework applied in this study better explains the relationship between customers’ emotional attachment toward bank service providers and bank loyalty. Specifically, the findings show a significant, direct and positive relationship between the customer’s emotional attachment and bank loyalty; an indirect positive relationship also exists through the connection of customer satisfaction. The study distinguishes between two integrated pathways consumers possibly follow when making decisions about services: the conscious decision-making process path and the emotional process path. Practical implications – The paper provides managerial and planning implications to bank service providers who seek to achieve excellent performance and a positive brand personality, thus maintaining long-lasting relationships with their customers. Originality/value – The study is among the few empirical works to specifically examine the impact of customers’ emotional attachment on bank loyalty and contributes to the available literature in that it suggests a systematic conceptual framework that evaluates the impact of key factors on bank loyalty.

Dispositional Optimism as a Mediator of the Effect of Rumination on Anxiety

2015 ◽  
Vol 43 (8) ◽  
pp. 1233-1242 ◽  
Author(s):  
Xiaobo Yu ◽  
Junbo Chen ◽  
Jing Liu ◽  
Xiaodong Yu ◽  
Kongqing Zhao
Keyword(s):  
Structural Equation Modeling ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Dispositional Optimism ◽  
Mediating Effect ◽  
Equation Modeling ◽  
The Impact ◽  
The Relationship

Many researchers have focused on the impact of rumination and optimism on anxiety, but few have examined the trilateral relationships among these factors. In this study, we explored the mediating effect of dispositional optimism in the relationship between rumination and anxiety. Participants were 448 Chinese undergraduate students who completed a survey assessing rumination, optimism, and anxiety. The results suggested that rumination was positively correlated with anxiety and that dispositional optimism was negatively correlated with anxiety. Structural equation modeling further showed that dispositional optimism partially mediated the impact of rumination on anxiety. The bootstrapping test also revealed significant paths from rumination to anxiety through dispositional optimism. We concluded that both rumination and dispositional optimism can affect anxiety.

Mediation Effect of Passion between Intimacy and Commitment in Relationship with God: Triangular Theory of Love

2019 ◽  
Vol 11 (2) ◽  
Author(s):  
Aruna Dhamija ◽  
Somesh Dhamija ◽  
Krishanveer Singh
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Mediation Effect ◽  
Equation Modeling ◽  
Relationship With God ◽  
Indirect Relationship ◽  
The Impact ◽  
The Relationship

Purpose: - The purpose of this research paper is to test the relationship with God and to know the strength among the variables of love - Intimacy, Passion and Commitment, through Triangular Love Scale (TLS). To study the direct and indirect relationship between variables of Love in context with God and to know the mediation effect of Passion between the two variables of love, namely, Intimacy and Commitment. Research Design: - In this study, data was collected through well structured questionnaire from 210 respondents who identified themselves as God-believers. The Partial Least Square (PLS) -Structural Equation Modeling (SEM) was used to measure the relationship among the variables and to conceptualize the model. Findings:- In context of the past studies, a conceptual model is developed to measure the direct relationship as well as indirect relationship among the three variables of love, namely, Intimacy, Passion and Commitment in relationship with God. Structural Equation Modeling analyses revealed that the association between Intimacy and Commitment is mediated by Passion. Limitations:- Other tools can also be used to analyse the same study to know relationship between variables of love with God. Different variables which are not explored can be used to test the relationship with God.Practical Implications:- This study makes significant contributions for religious leaders and researchers who associate themselves with spirituality in order to understand the strength of relationship with God by knowing the impact on variables of love-Intimacy, Passion and Commitment.Originality: - The current study aims to know the strength of relationship with God through the three variables of love, namely, Intimacy, Passion and Commitment. There are lots of studies on Triangular Love Scale in knowing the different perspectives. The results of this study will help to know in actuality as to how much the individual is close to God, attracted towards him and able to maintain his love towards him.

scholarly journals Inter-Firm Cooperation and Collaboration in Shipper—Shipping Company Relationships for Enhancing Sustainability

2018 ◽  
Vol 10 (10) ◽  
pp. 3714
Author(s):  
Chang-Soo Kim ◽  
John Dinwoodie ◽  
Young-Joon Seo
Keyword(s):  
Structural Equation Modeling ◽  
Theoretical Model ◽  
Structural Equation ◽  
Equation Modeling ◽  
High Quality ◽  
Shipping Company ◽  
Firm Cooperation ◽  
The Impact ◽  
The Relationship ◽  
Positive Effect

This paper aims to reveal the relationship between cooperation, trust, and sustainability, and to uncover whether cooperation, trust, and sustainability is nested within collaboration in shipper–shipping company relationships. Structural equation modeling identified that cooperation has a positive effect on trust, which partially mediates the impact of cooperation on sustainability. Sub-constructs of cooperation included transparency, fairness, and mutuality. Fairness is the prime antecedent of trust, and developing fairness can create more effective and high-quality relationships among firms. A fuller theoretical model reveals how inter-firm cooperation may progress to collaboration, and why transparency does not necessarily lead to trust.

scholarly journals Self-Efficacy as Mediator: The Impact of Entrepreneur Education on Entrepreneur Intention

2020 ◽  
Vol 8 (1) ◽  
pp. 24-28
Author(s):  
Rr Fosa Sarassina
Keyword(s):  
Structural Equation Modeling ◽  
Literature Review ◽  
Self Efficacy ◽  
Structural Equation ◽  
Entrepreneurship Education ◽  
Equation Modeling ◽  
Entrepreneurial Education ◽  
The Impact ◽  
The Relationship

The literature review shows inconsistent results of the relationship between entrepreneurial education withentrepreneurial intention and recommends the investigation of the role of self-efficacy as a mediator between the two constructs. This study aims to meet that purpose. From the response of 241 students in Jogjakarta, which was analyzed using structural equation modeling (SEM), it is concluded that self-efficacy mediates the relationship. This finding signifies the role of entrepreneurship education as it builds self-efficacy to become an entrepreneur, which in turn increases the intention to become one.

Working While Caring for Mom, Dad, and Junior Too: Exploring the Impact of Employees’ Caregiving Situation on Demands, Control, and Perceived Stress

2018 ◽  
Vol 39 (12) ◽  
pp. 3248-3275 ◽  
Author(s):  
Michael Halinski ◽  
Linda Duxbury ◽  
Chris Higgins
Keyword(s):  
Structural Equation Modeling ◽  
Perceived Stress ◽  
Structural Equation ◽  
Equation Modeling ◽  
Work At Home ◽  
Dual Income ◽  
Developed World ◽  
The Impact ◽  
The Relationship ◽  
At Home

Although demographic evidence suggests that, in the developed world, the number of employees who provide both childcare and eldercare is substantial, we know very little about how these “sandwiched” employees differ from those who provide only one form of caregiving (i.e., childcare, eldercare). In this article, we use partial least squares structural equation modeling to examine dual-income employees in households with three different caregiving situations: employees with only childcare ( n = 4,129), only eldercare ( n = 599), and both childcare and eldercare ( n = 767). Findings show that demands contribute to stress more for sandwiched employees than those who provided only one form of caregiving, and more for employees with only eldercare demands than employees with only childcare demands. Results also indicate that control (at work, at home) negatively moderates the relationship between demands (at work, at home) and stress for some employees but not others.

Strategy and structure of the hotel industry in Malaysia

2007 ◽  
Vol 4 (1) ◽  
pp. 97
Author(s):  
Salleh Mohd Radzi ◽  
Mohamed Amran ◽  
Abdul Razak Aziz ◽  
Azlan Supardi
Keyword(s):  
Structural Equation Modeling ◽  
Analysis Of Variance ◽  
Structural Equation ◽  
Hotel Industry ◽  
Strategic Orientation ◽  
Equation Modeling ◽  
Major Purpose ◽  
Strategy And Structure ◽  
Relationship Of ◽  
The Relationship

The major purpose ofthis study was to examine the relationship of strategy and structure. Porter s(/980) strategic typology was utilized to classify hotel firms by strategic orientation; and, an analysis of variance was performed to determine the differences in their performance. Structural Equation Modeling was used to confirm the factors underlying the strategy and structure constructs.

A Partial Least Square Structural Equation Modeling: Prestige Perception in Tourism

2020 ◽  
Author(s):  
Murat Kayak
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Destination Brand ◽  
The Relationship ◽  
Intention To Revisit ◽  
Brand Prestige

This study aims to investigate destination brand prestige, and to explore the mediating effects of destination brand worldness between destination brand prestige and intention to revisit. Research is designed to collect primary data from the Taiwanese tourists. Partial least squares structural equation modeling is used to test the effects. The research model is appropriately implemented in Smart PLS 3 and a full mediation has existed through the empirical findings. The study shows how destination brand worldness mediates the relationship between destination brand prestige and intention to revisit.

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