scholarly journals Welfare and Wealth in Iran: Rural and Urban Dichotomies

2019 ◽  
Author(s):  
Sediqe Shafiei ◽  
Shahram Yazdani ◽  
A Hamid Zafarmand ◽  
Mohammad-Pooyan Jadidfard ◽  
sareh Shakerian
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Well Being ◽  
Equation Modeling ◽  
Comprehensive Model ◽  
Contributing Factors ◽  
Rural And Urban ◽  
Effective Policy ◽  
Relationship Of

Abstract Objective : Increasing social welfare and reducing poverty are to ensure the well-being of all classes of a society. Cities and villages are distinguished by cultural and economic disparities. The purpose of this study was to develop and present a comprehensive model on welfare and wealth components and their relationship with each other , as well as determining the contributing factors and variables affecting them by presenting a comprehensive model. Results : The Structural Equation Modeling ( SEM ) method was used to analyze the data and investigate the causal relationship of latent variables. Observed variables and latent variables of the model were analyzed and tested by using AMOS and SPSS (version 21) statistical methods, in two exploratory and confirmatory steps. Wealth and welfare were identified as two separate subjects in the conceptual model and in the final structural model for rural households. Unlike, in the urban community, they were recognized as a single category in the final structural model. The results of this study can provide the clear hints for effective policy making to break the cycle of deprivation and poverty in Iranian rural and urban population.

scholarly journals A Structural Equation Modeling of the Wealth and Welfare Components in Iranian Households: Rural and Urban Dichotomies

2020 ◽  
Author(s):  
Sediqe Shafiei ◽  
Sareh Shakerian ◽  
Shahram Yazdani ◽  
Mohammad-Pooyan Jadidfard ◽  
A. Hamid Zafarmand
Keyword(s):  
Structural Equation Modeling ◽  
Rural Areas ◽  
Latent Variables ◽  
Structural Equation ◽  
Well Being ◽  
Land Ownership ◽  
Equation Modeling ◽  
Comprehensive Model ◽  
Contributing Factors ◽  
Rural And Urban

Abstract Background: Increasing social welfare and reducing poverty are to ensure the well-being of all classes of a society. Cities and villages are distinguished by cultural and economic disparities. The purpose of this study was to develop and present a comprehensive model on welfare and wealth components and their relationship with each other, as well as determining the contributing factors and variables affecting them by presenting a comprehensive model. Methods: The components of wealth and welfare were determined based on the national data comprising 19261 rural and 18701 urban household participants. Initially, the conceptual model was drawn. Later, observed and latent variables of the model were analyzed and tested using AMOS software, in two exploratory and confirmatory factor analyses. Finally, the Structural Equation Modeling was used to analyze the data and investigate the causal relationship of latent variables.Results: The findings showed that the factors generating wealth in the urban initiate from education and lead to employment and then into income and ultimately provide wealth and welfare. Plus, there is no separation between the concept of welfare and wealth in urban society. However, land ownership is the prerequisite for wealth and welfare issues in a rural community. Moreover, wealth and welfare are two distinct phenomena in rural areas. Conclusions: The results of this study would provide the clear hints for effective policy making to resolve deprivation and poverty in Iranian rural and urban populations, prioritizing education for urban and land ownership for rural areas.

scholarly journals A Structural Equation Modeling of the Wealth and Welfare Components in Iranian households: Rural and Urban Dichotomies

2020 ◽  
Author(s):  
Sediqe Shafiei ◽  
Sareh Shakerian ◽  
Shahram Yazdani ◽  
Mohammad-Pooyan Jadidfard ◽  
A. Hamid Zafarmand
Keyword(s):  
Structural Equation Modeling ◽  
Rural Areas ◽  
Latent Variables ◽  
Structural Equation ◽  
Well Being ◽  
Land Ownership ◽  
Equation Modeling ◽  
Comprehensive Model ◽  
Contributing Factors ◽  
Rural And Urban

Abstract Background Increasing social welfare and reducing poverty are to ensure the well-being of all classes of a society. Cities and villages are distinguished by cultural and economic disparities. The purpose of this study was to develop and present a comprehensive model on welfare and wealth components and their relationship with each other, as well as determining the contributing factors and variables affecting them by presenting a comprehensive model. Methods The components of wealth and welfare were determined based on the national data comprising 19261 rural and 18701 urban household participants. Initially, the conceptual model was drawn. Later, observed and latent variables of the model were analyzed and tested using AMOS software, in two exploratory and confirmatory factor analyses. Finally, the Structural Equation Modeling was used to analyze the data and investigate the causal relationship of latent variables. Results The findings showed that the factors generating wealth in the urban initiate from education and lead to employment and then into income and ultimately provide wealth and welfare. Plus, there is no separation between the concept of welfare and wealth in urban society. However, land ownership is the prerequisite for wealth and welfare issues in a rural community. Moreover, wealth and welfare are two distinct phenomena in rural areas. Conclusions The results of this study would provide the clear hints for effective policy making to resolve deprivation and poverty in Iranian rural and urban populations, prioritizing education for urban and land ownership for rural areas.

scholarly journals Connecting Climate and Communicable Disease to Penta Helix Using Hierarchical Likelihood Structural Equation Modelling

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 657
Author(s):  
Rezzy Eko Caraka ◽  
Maengseok Noh ◽  
Rung-Ching Chen ◽  
Youngjo Lee ◽  
Prana Ugiana Gio ◽  
...  
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Healthy Lifestyle ◽  
Communicable Disease ◽  
Well Being ◽  
Equation Modeling ◽  
Human Beings ◽  
The Sustainable Development ◽  
Healthcare Facilities ◽  
Hierarchical Likelihood

Design: Health issues throughout the sustainable development goals have also been integrated into one ultimate goal, which helps to ensure a healthy lifestyle as well as enhances well-being for any and all human beings of all social level. Meanwhile, regarding the clime change, we may take urgent action to its impacts. Purpose: Nowadays, climate change makes it much more difficult to control the pattern of diseases transmitted and sometimes hard to prevent. In line with this, Centres for Disease Control (CDC) Taiwan grouped the spread of disease through its source in the first six main groups. Those are food or waterborne, airborne or droplet, vector-borne, sexually transmitted or blood-borne, contact transmission, and miscellaneous. According to this, academics, government, and the private sector should work together and collaborate to maintain the health issue. This article examines and connects the climate and communicable aspects towards Penta-Helix in Taiwan. Finding: In summary, we have been addressing the knowledge center on the number of private companies throughout the health care sector, the number of healthcare facilities, and the education institutions widely recognized as Penta Helix. In addition, we used hierarchical likelihood structural equation modeling (HSEMs). All the relationship variables among climate, communicable disease, and Penta Helix can be interpreted through the latent variables with GoF 79.24%.

scholarly journals Factors Related to Mental Health During the COVID-19 Lockdown in Spain

2021 ◽  
Vol 12 ◽  
Author(s):  
Ruth Pinedo ◽  
Isabel Vicario-Molina ◽  
Eva González Ortega ◽  
Andrés Palacios Picos
Keyword(s):  
Mental Health ◽  
Latent Variables ◽  
Structural Equation ◽  
Online Survey ◽  
Psychological Impact ◽  
Well Being ◽  
Vulnerable Groups ◽  
Equation Modeling ◽  
Healthy Habits ◽  
And Gender

The COVID-19 disease has forced governments to adopt exceptional measures. The lockdown decreed in Spain in 2020 required citizens to stay confined at home, which might have affected their mental health. The objective is to identify factors that influenced adults' mental health during this period. A sample of 3,508 adults from the Spanish general population completed an online survey that collected sociodemographic data and information about daily planning and activities, healthy habits, loneliness, coping humor and mental health. Data were analyzed using Structural Equation Modeling. According to the results, the proposed model showed good fit values, and latent variables explained 30% of the variance in mental health. Loneliness, coping humor, healthy habits, age and gender had a significant weight in the prediction of mental health during lockdown. Area of residence, number of days of confinement and number of people in the household were not related to mental health. This study addresses the effect of COVID-19 and social distancing measures by identifying risk and protective factors for the development of mental health difficulties. There is a need to target specific and early interventions aimed at mitigating the psychological impact of the pandemic while increasing well-being, especially in more vulnerable groups.

Newcomer retention – an investigation on Indian IT industry

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amruta Deshpande ◽  
Ritu Gupta
Keyword(s):  
Organizational Support ◽  
Structural Equation ◽  
Structural Model ◽  
Well Being ◽  
Equation Modeling ◽  
Adjustment Process ◽  
It Industry ◽  
Content Type ◽  
New Recruits ◽  
Newly Hired

Purpose Understanding attrition in this VUCA world has become imperative for organizations to ensure they are able to sustain themselves. While focus on understanding attrition is important, it is equally important to retain acquired talent, at the same time add value to the human side of business. The purpose of this paper is to explore the factors which play crucial role in retention of newly hired employees working in Indian IT industry. The study has considered factors, namely, supervisor support behavior, feedback-seeking behavior (FSB), affective commitment (AC) and empirically verified their impact on new recruit’s intention to quit (IQ). Design/methodology/approach The survey was conducted among 524 newly hired employees working in 58 different companies listed in National Association of Software Services Companies member directory in Indian IT industry. All the scales used in the study are reliable and validated. Confirmatory factor analysis was carried out to test the validation of scales. The data were analyzed to test the proposed structural model using structural equation modeling. Findings The present study has successfully blended and verified the effect of supportive behavior of supervisor and new recruit’s FSB on the AC and IQ of newly hired employees. The study highlighted that supportive supervisors can encourage the newly hired employees to seeking feedback and enhance their commitment toward the organization. Further, this reduces the turnover intention of employees. Research limitations/implications The theoretical contribution of the study is in successful amalgamation of two major streams of studies on new recruits by assessing the effect of supervisors’ supportive behaviors and new recruits’ proactive FSB on their IQ. The study has also looked at the newly hired employees’ behavioral reactions during uncertain entry period and throughout the adjustment process. The limitations of the study are in the focus on one industry and cross-sectional data. In the future researchers can explore the relationships in a longitudinal study. Also, other variables like perceived organizational support and job satisfaction can be considered. Practical implications The present study demonstrates that supportive supervisors can motivate newly hired employees to seek feedback, and help them to “fit in” the organization. This study verifies that supervisors are considered as an important source of information for new recruits and the new recruits’ FSB positively influences their commitment toward the organization. Based on these results it is imperative for managers to be approachable and available to offer feedback to the new recruits in their initial days to ensure their adjustment, commitment and retention in the organization. This adds to sustaining the business and social well-being of the employees. Originality/value The present study offers a critical insight about the retention of newly hired employees in the organization. In the quickly changing VUCA world, these newly hired employees can be an asset for companies to build competitive advantage. However, to construct a strong future team for the organization, it is imperative that companies focus on augmentation of commitment among newly hired employees to further retain them. The present study proposes the path of empowerment among the new recruits to make them committed to the organization and to make sure that they stay with the organization in long run.

Effect of Spiritually Dimensions on Martial Satisfaction

2017 ◽  
Vol 9 (2) ◽  
pp. 117
Author(s):  
Kamal Khurana
Keyword(s):  
Structural Equation Modeling ◽  
Marital Satisfaction ◽  
Marital Quality ◽  
Latent Variables ◽  
Structural Equation ◽  
Positive Impact ◽  
Well Being ◽  
Equation Modeling ◽  
Relationship With God ◽  
Cross Sectional

Spiritually is an essential part of our physical and mental well-being. Spirituality dimensions also effects marital quality. This paper presents evidences that there exists a positive effect of spirituality dimensions on marital satisfaction. The results are proved through structural equation modeling among the latent variables- direct relationship with God, relationship with God through others and martial satisfaction- in a cross-sectional study of 382 married adults aged 18 to 48 years comprising of 225 males and 157 female respondents. Data was collected in Delhi NCR region through self-administrated questionnaire formulated through marital quality index (Norton, 1983)15 and daily spiritual scale (Underwood, 2002)19. Results of structural equation modeling suggest that there is a positive impact of spirituality dimensions on marital satisfaction.

scholarly journals Bayesian structural equation modeling for post treatment health related quality of life among tuberculosis patients

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0252205
Author(s):  
Mahalingam Vasantha ◽  
Malaisamy Muniyandi ◽  
Chinnaiyan Ponnuraja ◽  
Ramalingam Srinivasan ◽  
Perumal Venkatesan
Keyword(s):  
Quality Of Life ◽  
Latent Variables ◽  
Structural Equation ◽  
Well Being ◽  
Monte Carlo Algorithm ◽  
Equation Modeling ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Background The use of Bayesian Structural Equation Model (BSEM) to evaluate the impact of TB on self-reported health related quality of life (HRQoL) of TB patients has been not studied. Objective To identify the factors that contribute to the HRQoL of TB patients using BSEM. Methods This is a latent variable modeling with Bayesian approach using secondary data. HRQoL data collected after one year from newly diagnosed 436 TB patients who were registered and successfully completed treatment at Government health facilities in Tiruvallur district, south India under the National TB Elimination Programme (NTEP) were used for this analysis. In this study, the four independent latent variables such as physical well–being (PW = PW1-7), mental well-being (MW = MW1-7), social well-being (SW = SW1-4) and habits were considered. The BSEM was constructed using Markov Chain Monte Carlo algorithm for identifying the factors that contribute to the HRQoL of TB patients who completed treatment. Results Bayesian estimates were obtained using 46,300 observations after convergence and the standardized structural regression estimate of PW, MW, SW on HRQoL were 0.377 (p<0.001), 0.543 (p<0.001) and 0.208 (p<0.001) respectively. The latent variables PW, MW and SW were significantly associated with HRQoL of TB patients. The age was found to be significantly negatively associated with HRQoL of TB patients. Conclusions The current study demonstrated the application of BSEM in evaluating HRQoL. This methodology may be used to study precise estimates of HRQoL of TB patients in different time points.

MODELING OF SEA SURFACE TEMPERATURE BASED ON PARTIAL LEAST SQUARE - STRUCTURAL EQUATION

2021 ◽  
Vol 14 (2) ◽  
pp. 170-182
Author(s):  
Miftahuddin Miftahuddin ◽  
Retno Wahyuni Putri ◽  
Ichsan Setiawan ◽  
Rina Suryani Oktari
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Structural Model ◽  
Partial Least Square ◽  
Least Square ◽  
Sea Surface ◽  
Equation Modeling

Variability of Sea Surface Temperature (SST) is one of the climatic features that influence global and regional climate dynamics. Missing data (gaps) in the SST dataset are worth investigating since they may statistically alter the value of the SST change. The partial least square-structural equation modeling (PLS-SEM) approach is used in this work to estimate the causality relationships between exogenous and endogenous latent variables. The findings of this study, which are significant indicators that have a loading factor value > 0.7 are as follows: i) sea surface temperature (oC) as a measure of the latent variable changes in SST, ii) wind speed (m/s) and relative humidity (%) as a measure of the latent variable of weather, and iii) air temperature (oC), long-wave solar radiation (w/m2) as a measure of climate latent variables. The size of the Rsquare value is influenced by the number of gaps. The results of the boostrapping show that the latent variables of weather and climate have a significant effect on changes in SST which are indicated by the value of tstatistics > ttabel. The structural model obtained Changes in SST (η) = -0.330 weather + 0.793 climate + ζ. The model shows that the weather has a negative coefficient, which means that the better the weather conditions, the lower the SST changes. Climate has a positive coefficient, which means that the better the climate, the SST changes will also increase. Rising sea surface temperatures caused by an increase in climate can lead to global warming, impacting El-Nino and La-Nina events.

scholarly journals Psychosocial Working Conditions and Well-Being of Migrant Workers in Spain

2020 ◽  
Vol 17 (7) ◽  
pp. 2547 ◽  
Author(s):  
Francisco Díaz Bretones ◽  
Aditya Jain ◽  
Stavroula Leka ◽  
Pedro A. García-López
Keyword(s):  
Working Conditions ◽  
Migrant Workers ◽  
Latent Variables ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
Working Population ◽  
Psychosocial Working Conditions ◽  
Confirmatory Factor ◽  
The Relationship

This study examines the relationship beween employment and psychosocial working conditions and well-being of native and migrant workers in the working population of Spain. Data from the 7th Spanish Survey of Working Conditions was used to conduct a confirmatory factor analysis (n = 8508) to identify the main latent variables that influenced well-being. Using structural equation modeling and multivariate analysis, we found different patterns and perceptions of well-being and working conditions in these two groups. We discuss the reasons for these differences and suggest directions for further research in this area.

scholarly journals PENGARUH REPUTASI SEBAGAI VARIABEL INTERVENING TERHADAP KINERJA PERUSAHAAN PADA PT.TELKOM KEBUMEN

2018 ◽  
Vol 17 (1) ◽  
pp. 41-53
Author(s):  
Sri Wahyuningsih
Keyword(s):  
Corporate Governance ◽  
Business Ethics ◽  
Social Responsibility ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Structural Model ◽  
Well Being ◽  
Equation Modeling ◽  
Future Research ◽  
Telecommunication Service

The purpose of this study is to investigate the influence of social responsibility, etiuka relatives, on the reputation of corporate governance and its impact on the performance of the company PT. Telkom Indonesia Branch Kebumen. The analytical tool used Structural Equation Modeling (SEM). The results of this study show that the reputation of social responsibility affects the reputation accepted. This is indicated by the value of CR = 2.514 and p = 0.012 or significant at ½ α = 0.05 t table = ± 1.980. Thus, the social responsibility variables formed by indicators of ethical codes, economic well-being, contributions and participant experiences have a significant influence on reputation. Further business ethics affects the accepted reputation. This is indicated by the value of CR = 2.872 and p = 0.004 or significant at  ½ α = 0.05 t table = ± 1.980. Thus the business ethics variables formed by the indicators: Product quality, product trials, respect for human dignity, cultural integrity of the customer has an influence on reputation. Corporate governance affects acceptable reputation. This is indicated by the value of CR = 3.241 and p = 0.001 or significant at ½ α = 0.05 t table = ± 1.980. thus corporate governance variables formed by the indicators: Company competence, openness and transparency, policy implementation, corporate policy, confidence in top management, knowledge and ability of human resources. Reputation, effect on company performance accepted. This is indicated by the value of CR = 13.933 and p = 0,000 or significant at ½ α = 0.05 t table = ± 1.980. Thus the reputation variable formed by the Company's Vision indicators, the product offered, the emotional closeness of the customer to the company, the company's financial capability and confidence in the employee. The limitations of this study on the structural model used, this model has been well seen from the test of cofirmatory and goodness-of-fit. but it is better for the company's performance topics to dig deeper into the variables and indicators used. Future research may also consider research objects that will be used not only in telecommunication service companies but can be developed in other business organizations.   Key word: Reputation and Corporate Performance

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