Neighborliness with Ethnic Groups in the United States: Modeling its News Antecedents and Health Outcomes

2011 ◽  
Vol 88 (4) ◽  
pp. 821-842 ◽  
Author(s):  
Christopher E. Beaudoin
Keyword(s):  
Health Outcomes ◽  
Ethnic Groups ◽  
Structural Equation ◽  
Telephone Survey ◽  
The United States ◽  
Equation Model ◽  
Online News ◽  
Direct And Indirect Effects ◽  
Stress Effects ◽  
News Use

The current study builds and empirically tests a theoretical model in which news use influences health outcomes directly and indirectly, as mediated by neighborliness with specific ethnic groups. With telephone survey data from 2007, a well-fitting structural equation model indicates direct and indirect effects of news use measures on two health outcomes: health status and stress. Effects of newspaper news use were more favorable than those via television and online news, and effects of neighborliness with whites and with Asians were more favorable on health outcomes than effects of neighborliness with blacks and with Hispanics.

Causal Analysis of Hydrogen Acceptance

2005 ◽  
Vol 1941 (1) ◽  
pp. 115-121 ◽  
Author(s):  
Eric Molin
Keyword(s):  
Structural Equation Model ◽  
Indirect Effects ◽  
Structural Equation ◽  
Personal Characteristics ◽  
Causal Analysis ◽  
Equation Model ◽  
Factual Knowledge ◽  
Direct And Indirect Effects ◽  
Explanatory Variables ◽  
Willingness To Use

This paper presents and discusses a structural equation model on hydrogen acceptance. This model unravels the direct and indirect effects among personal characteristics, knowledge about hydrogen, perceptions, attitudes, and willingness to use hydrogen applications. In addition, indicators of differently colored information that can be provided by mass media have been included as explanatory variables. The estimated model indicates that colored information directly influences perceptions of hydrogen and indirectly influences attitudes about hydrogen and willingness to use it. In particular, negatively colored information decreases hydrogen acceptance, which cannot be counterbalanced by providing positively colored information. Furthermore, the model suggests that more factual knowledge about hydrogen increases its acceptance. The paper further discusses the likely development of hydrogen acceptance in the future and how practitioners can influence this.

Stepfamily Closeness and Depression Among American Indian Emerging Adults: A Structural Equation Modeling Approach

2018 ◽  
Vol 40 (3) ◽  
pp. 267-292 ◽  
Author(s):  
Kaitlin P. Ward ◽  
Gordon E. Limb ◽  
Sarah Higbee ◽  
Helena Haueter
Keyword(s):  
American Indian ◽  
Emerging Adults ◽  
American Indians ◽  
Structural Equation ◽  
The United States ◽  
Equation Model ◽  
Equation Modeling ◽  
Racial Groups ◽  
Biological Parent ◽  
Parent Child

Stepfamilies are one of the fastest growing family structures among all racial groups in the United States. Stepfamily research among many racial groups, specifically American Indians, is virtually nonexistent. This is unfortunate, as American Indians are more likely to divorce and remarry compared with other populations. From a family systems perspective, this study examined whether retrospectively perceived closeness in three stepfamily relationships, namely child–residential biological parent, child–residential stepparent, and child–stepsibling, were negatively associated with depression scores in 226 American Indian emerging adults. A structural equation model showed that increased child–residential biological parent and child–stepsibling closeness predicted decreased depression scores, whereas child–residential stepparent closeness did not. We also found that depression scores significantly predicted retrospective perceptions of child–residential biological parent, child–residential stepparent, and child–stepsibling closeness. Findings encourage interventions that strengthen American Indian child–residential biological parent and child–stepsibling relationships, and underscore the need for further research that explores American Indian stepfamily relationships.

What Makes Families Healthy? Examining Correlates of Family Health in a Nationally Representative Sample of Adults in the United States

2021 ◽  
pp. 0192513X2110428
Author(s):  
Quenla Haehnel ◽  
Caitlin Whitehead ◽  
Eliza Broadbent ◽  
Carl L. Hanson ◽  
AliceAnn Crandall
Keyword(s):  
Physical Activity ◽  
Executive Functioning ◽  
Structural Equation ◽  
Healthy Lifestyle ◽  
Family Health ◽  
The United States ◽  
Equation Model ◽  
Social And Emotional ◽  
Health Measure ◽  
Nationally Representative

Conceptually, family health is crucial for individual health across the lifespan, yet previous research has lacked a validated family health measure. The current study examines the relationships between individual physical (physical activity) and mental health (depressive symptoms and executive functioning) and social determinants of health (socioeconomic status) with four domains of family health using a recently validated family health measure. The sample included 1050 US adults (40.30 years; 53.78% female) that completed a survey. The results of the structural equation model revealed that depression was associated with reduced family health across all domains. Executive functioning was associated with better family social and emotional processes and family healthy lifestyle. Physical activity was associated with improved family healthy lifestyle only. Income was positively associated with each domain, but subjective SES was not associated with any domain. The findings indicate the interconnectedness of family health and individual factors, particularly with depression and wealth.

Constructing Structural Equation Model Rule-Based Fuzzy System with Genetic Algorithm

2016 ◽  
Vol 7 (2) ◽  
pp. 69-88 ◽  
Author(s):  
EnDer Su ◽  
Thomas W. Knowles ◽  
Yu-Gin Fen
Keyword(s):  
Genetic Algorithm ◽  
Risk Factor ◽  
Structural Equation Model ◽  
Latent Variables ◽  
Structural Equation ◽  
The United States ◽  
Equation Model ◽  
Lower State ◽  
Inference System ◽  
United States Dollar

The present study uses the structural equation model (SEM) to analyze the correlations between various economic indices pertaining to latent variables, such as the New Taiwan Dollar (NTD) value, the United States Dollar (USD) value, and USD index. In addition, a risk factor of volatility of currency returns is considered to develop a risk-controllable fuzzy inference system. The rational and linguistic knowledge-based fuzzy rules are established based on the SEM model and then optimized using the genetic algorithm. The empirical results reveal that the fuzzy logic trading system using the SEM indeed outperforms the buy-and-hold strategy. Moreover, when considering the risk factor of currency volatility, the performance appears significantly better. Remarkably, the trading strategy is apparently affected when the USD value or the volatility of currency returns shifts into either a higher or lower state.

scholarly journals A Mediation and Moderation Model of Social Support, Relationship Quality and Social Commerce Intention

2020 ◽  
Vol 12 (23) ◽  
pp. 9889
Author(s):  
Md. Alamgir Hossain ◽  
Nusrat Jahan ◽  
Minho Kim
Keyword(s):  
Social Support ◽  
Relationship Quality ◽  
Structural Equation ◽  
The United States ◽  
Equation Model ◽  
Mediating Effect ◽  
Mediation Effect ◽  
Social Commerce ◽  
Moderation Effect ◽  
The Social

This study examines the antecedents of social commerce intention by conceptualizing a model that includes two exogenous variables; relationship quality and social support, and an endogenous variable; social commerce, along with a mediation effect of relationship quality and moderation effect of cultures. This research model is tested by survey data collected in the United States and Korea, analyzed by a structural equation model. The results reveal that relationship quality generates the social commerce intention through commitment, satisfaction and trust, and becomes a maiden study with its mediating effect on social commerce intention. Social commerce intention is highly representative of social sharing and social shopping on social media. The social support is measured through emotional and informational support, proving to be a stronger predictor of relationship quality and social commerce intention. In addition, social support articulates differences in respect to the cultural differences. The model offers valuable insights to researchers and practitioners that aims to improve social commerce intention.

School as a determinant for health outcomes – a structural equation model analysis

2009 ◽  
Vol 109 (4) ◽  
pp. 342-356 ◽  
Author(s):  
Ulrike Ravens‐Sieberer ◽  
John Freeman ◽  
Gyongyi Kokonyei ◽  
Christiane A. Thomas ◽  
Michael Erhart
Keyword(s):  
Health Outcomes ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Model Analysis ◽  
Equation Model

Relationships between neurocognition, social cognition and functional outcome in schizophrenia

2016 ◽  
Vol 33 (S1) ◽  
pp. S67-S67 ◽  
Author(s):  
A. Mucci ◽  
S. Galderisi ◽  
A. Rossi ◽  
P. Rocca ◽  
A. Bertolino ◽  
...  
Keyword(s):  
Social Cognition ◽  
Functional Outcome ◽  
Functional Capacity ◽  
Indirect Effects ◽  
Structural Equation ◽  
Real Life ◽  
Equation Model ◽  
Direct And Indirect Effects ◽  
Neurocognitive Deficits ◽  
Life Functioning

IntroductionThe inter-relationships of neurocognition, social cognition, residual psychopathology and real-life functioning are poorly understood. A large multicenter study was carried out by the Italian Network for Research on Psychoses to model relationships between neurocognitive deficits, psychopathology and real-life functioning, taking into account the role of functional capacity and social cognition.MethodsA structural equation model was used to investigate direct and indirect effects of neurocognition and psychopathology on real-life functioning. Social cognition and functional capacity were modeled as mediators.ResultsIn 921 patients with schizophrenia, neurocognition had both direct and indirect effects, through functional capacity and social cognition, on real-life functioning. Neurocognition predicted to a large extent social cognition on which depression and disorganization had a modest effect. Social cognition showed a significant direct impact on real-life functioning.ConclusionOur results support a strong link between neurocognition and functional outcome, independent of psychopathology. Social cognition accounted for unique incremental variance in real-life functioning.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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