Structural equation modeling on the relationship between maternal characteristics and pregnancy complications: A study based on National Family Health Survey

2020 ◽  
Author(s):  
Pradeep Kumar ◽  
Preeti Dhillon
Keyword(s):  
Structural Equation Modeling ◽  
Health Survey ◽  
Pregnancy Complications ◽  
Structural Equation ◽  
Family Health ◽  
Equation Modeling ◽  
National Family Health Survey ◽  
Maternal Characteristics ◽  
National Family ◽  
The Relationship

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.

FEATURE,NILAI, KEPUASAN DAN LOYALITAS PELANGAN

2017 ◽  
Vol 2 (1) ◽  
pp. 45-52
Author(s):  
Iha Haryani Hatta
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Significant Influence ◽  
Customer Value ◽  
Structural Equation ◽  
Equation Modeling ◽  
Relationship Of ◽  
The Relationship ◽  
Customer Satisfaction And Loyalty

The aim of this study was to determine the relationship of the features of the value, satisfaction, and customer loyalty; the effect on the value of customer satisfaction and loyalty; influence of satisfaction on customer loyalty. A total of 200 merchant PT. BANK XYZ as respondents was selected randomly. Analyses were performed using structural equation modeling (SEM). The analysis showed that the feature has a significant influence on customer value, but not for customer satisfaction and loyalty. The values has a significant influence on satisfaction, but not on customer loyalty. Satisfaction has a significant influence on customer loyalty. Discussion and conclusions described in the article. Keywords: features of the value, satisfaction, customer loyalty

Spatial Pattern of Maternal Health in Northeastern States, India-evidence from national family health survey 4 (2015-16)

2017 ◽  
Vol 4 (2) ◽  
pp. 147-156 ◽  
Author(s):  
Kh. Jitenkumar Singh ◽  
◽  
Swati Kadian ◽  
Amandeep Kaur ◽  
Kiran Saini ◽  
...  
Keyword(s):  
Maternal Health ◽  
Spatial Pattern ◽  
Health Survey ◽  
Family Health ◽  
National Family Health Survey ◽  
National Family

Perceived Employability Moderates Burnout and Depression Among Bank Employees

2016 ◽  
Vol 44 (7) ◽  
pp. 1123-1132 ◽  
Author(s):  
Haishu Qiao ◽  
Yue Xia ◽  
Ying Li
Keyword(s):  
Mental Health ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Moderating Effect ◽  
Equation Modeling ◽  
Hierarchical Regression ◽  
Negatively Associated ◽  
Perceived Employability ◽  
Bank Employees ◽  
The Relationship

Because bank employees have been found to be especially susceptible to burnout and depression, we explored the relationship between these variables, and examined the moderating effect of perceived employability on the burnout–depression relationship in a sample of Chinese bank employees. As we expected, burnout and perceived employability were, respectively, positively and negatively associated with depression. The results of hierarchical regression and structural equation modeling indicated that perceived employability moderated the relationship between burnout and depression; higher perceived employability was associated with a weaker relationship between burnout and depression. Interventions aimed at developing the perceived employability of Chinese bank employees may help to improve mental health in this group.

scholarly journals Missed opportunities for delivering nutrition interventions in first 1000 days of life in India: insights from the National Family Health Survey, 2006 and 2016

2021 ◽  
Vol 6 (2) ◽  
pp. e003717
Author(s):  
Phuong Hong Nguyen ◽  
Rasmi Avula ◽  
Lan Mai Tran ◽  
Vani Sethi ◽  
Alok Kumar ◽  
...  
Keyword(s):  
Health Survey ◽  
Urban Areas ◽  
Family Health ◽  
Universal Coverage ◽  
National Family Health Survey ◽  
Nutrition Interventions ◽  
Missed Opportunities ◽  
Health And Nutrition ◽  
National Family ◽  
Opportunity Gaps

ObjectivesExisting health and community nutrition systems have the potential to deliver many nutrition interventions. However, the coverage of nutrition interventions across the delivery platforms of these systems has not been uniform. We (1) examined the opportunity gaps between delivery platforms and corresponding nutrition interventions through the continuum of care in India between 2006 and 2016 and and (2) assessed inequalities in these opportunity gaps.MethodsWe used two rounds of the National Family Health Survey data from 2005 to 2006 and 2015–2016 (n=36 850 and 190 898 mother–child dyads, respectively). We examine the opportunity gaps over time for seven nutrition interventions and their associated delivery platforms at national and state levels. We assessed equality and changes in equality between 2006 and 2016 for opportunity gaps by education, residence, socioeconomic status (SES), public and private platforms.ResultsCoverage of nutrition interventions was consistently lower than the reach of their associated delivery platforms; opportunity gaps ranging from 9 to 32 percentage points (pp) during the pregnancy, 17 pp during delivery and 9–26 pp during childhood in 2006. Between 2006 and 2016, coverage improved for most indicators, but coverage increases for nutrition interventions was lower than for associated delivery platforms. The opportunity gaps were larger among women with higher education (22–57 pp in 2016), higher SES status and living in urban areas (23–57 pp), despite higher coverage of most interventions and the delivery platforms among these groups. Opportunity gaps vary tremendously by state with the highest gaps observed in Tripura, Andaman and Nicobar islands, and Punjab for different indicators.ConclusionsIndia’s progress in coverage of health and nutrition interventions in the last decade is promising, but both opportunity and equality gaps remained. It is critical to close these gaps by addressing policy and programmatic delivery systems bottlenecks to achieve universal coverage for both health and nutrition within the delivery system.

scholarly journals Correction to: Inequalities in the utilisation of maternal health Care in Rural India: Evidences from National Family Health Survey III & IV

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Balhasan Ali ◽  
Shekhar Chauhan
Keyword(s):  
Health Care ◽  
Maternal Health ◽  
Health Survey ◽  
Family Health ◽  
Maternal Health Care ◽  
Rural India ◽  
National Family Health Survey ◽  
National Family

An amendment to this paper has been published and can be accessed via the original article.

Fostering Product Innovation Through Digital Transformation and Absorptive Capacity

2020 ◽  
Vol 17 (06) ◽  
pp. 2050040
Author(s):  
Alejandro Coronado-Medina ◽  
Jose Arias-Pérez ◽  
Geovanny Perdomo-Charry
Keyword(s):  
Structural Equation Modeling ◽  
Survey Data ◽  
Absorptive Capacity ◽  
Product Innovation ◽  
Structural Equation ◽  
Digital Transformation ◽  
Mediating Effect ◽  
Equation Modeling ◽  
The Relationship

This paper analyzes the mediating effect of absorptive capacity (AC) on the relationship between digital transformation from e-business capabilities (EBC) perspective and product innovation (PI). Structural equation modeling (SEM) was carried out with the survey data from a sample of firms that belong mainly to highly digitalized sectors. The results indicate the existence of a full mediation, which means knowledge derived from the digital operation of the business can only result in PI if AC plays an intermediation role. Hence, this finding calls into question the idea that digitalization alone and automatically acts as a PI driver.

BIRTH ORDER, STAGE OF INFANCY AND INFANT MORTALITY IN INDIA

2017 ◽  
Vol 50 (5) ◽  
pp. 604-625 ◽  
Author(s):  
S. K. Mishra ◽  
Bali Ram ◽  
Abhishek Singh ◽  
Awdhesh Yadav
Keyword(s):  
Infant Mortality ◽  
Birth Order ◽  
Neonatal Period ◽  
Family Health ◽  
National Family Health Survey ◽  
Female Children ◽  
National Family ◽  
Urban Rural ◽  
Using Data ◽  
The Relationship

SummaryUsing data from India’s National Family Health Survey, 2005–06 (NFHS-3), this article examines the patterns of relationship between birth order and infant mortality. The analysis controls for a number of variables, including mother’s characteristics such as age at the time of survey, current place of residence (urban/rural), years of schooling, religion, caste, and child’s sex and birth weight. A modest J-shaped relationship between birth order of children and their risk of dying in the neonatal period is found, suggesting that although both first- and last-born children are at a significantly greater risk of dying compared with those in the middle, last-borns (i.e. fourth and higher order births) are at the worst risk. However, in the post-neonatal period first-borns are not as vulnerable, but the risk increases steadily with the addition of successive births and last-borns are at much greater risk, even worse than those in the neonatal period. Although the strength of relationship between birth order and mortality is attenuated after the potential confounders are taken into account, the relationship between the two variables remains curvilinear in the neonatal period and direct in the post-neonatal period. There are marked differences in these patterns by the child’s sex. While female children are less prone to the risk of dying in the neonatal period in comparison with male children, the converse is true in the post-neonatal period. Female children not only run higher risks of dying in the post-neonatal period, but also become progressively more vulnerable with an increase in birth order.

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