Support for Right-Wing Extremist Ideology: Socio-Economic Indicators and Socio-Psychological Mechanisms of Social Identification

2004 ◽  
Vol 3 (1) ◽  
pp. 1-36 ◽  
Author(s):  
Ami Pedahzur ◽  
Daphna Canetti-Nisim
Keyword(s):  
Structural Equation ◽  
Economic Status ◽  
Social Identification ◽  
Economic Indicators ◽  
Equation Modeling ◽  
Right Wing ◽  
Negative Effects ◽  
Economic Competition ◽  
Broad Concept ◽  
Right Wing Extremism

AbstractThe study examined the associations between support for right-wing extremism, on the one hand, and social-psychological measures of in-group favoritism (e. g. authoritarianism) and both objective (e. g., income) and subjective (economic insecurity) socio-economic measures, on the other, among 706 Israeli-Jewish respondents. Contrary to the initial tendency to reduce right-wing extremism and define it on the basis of a single characteristic (i.e. anti-foreigner sentiments), it is defined as a broad concept that reflects a multi-layered ideology. We theorized that hostile attitudes towards out-groups are the result of in-group favoritism, and that this may be particularly apt when a sense of socio-economic competition arises. Findings obtained through the analyses of three models via structural equation modeling show that the socio-economic variables have significant direct negative effects on the socio-psychological mediating variables, and also have negative indirect effects on right-wing extremism, via their influence on the mediating socio-psychological variables. While persons with strong social identification tendencies are likely to espouse right-wing extremist ideologies whether they are high or low on the socio-economic status, persons who score low on socio-economic indicators are not likely to support right-wing extremist ideologies unless they also have strong mechanisms of social identification.

Tabloid news, anti-immigration attitudes, and support for right-wing populist parties

2019 ◽  
pp. 205704731988412 ◽  
Author(s):  
Trevor Diehl ◽  
Ramona Vonbun-Feldbauer ◽  
Matthew Barnidge
Keyword(s):  
Political Communication ◽  
Social Identity Theory ◽  
News Media ◽  
Structural Equation ◽  
Process Model ◽  
Economic Status ◽  
Equation Modeling ◽  
Right Wing ◽  
Modeling Framework ◽  
Immigration Attitudes

This study examines the role of individuals’ media diets in contributing to the growing support for right-wing populist parties. Drawing on social identity theory and the notion of populism as political communication, this study argues that socio-economic status and tabloid news use explain support for right-wing candidates through heightened out-group hostility. Using survey data from the Austrian National Election Study ( N = 1161), we present a process model in the structural equation modeling framework, and we compare the direct and indirect effects of attention to tabloid versus broadsheet news on the probability to vote for the Freiheitliche Partei Österreichs. Results show that the link between social status and support for right-wing populism is mediated by attention to tabloid news and anti-immigration attitudes. Implications for democratic norms are discussed in light of the overlap between news media and politicians in their use of populist narratives.

scholarly journals The Psychology of Sharing: Multigroup Analysis among Users and Non-Users of Carsharing

2021 ◽  
Vol 13 (12) ◽  
pp. 6842
Author(s):  
Érika Martins Silva Ramos ◽  
Cecilia Jakobsson Bergstad
Keyword(s):  
Travel Behavior ◽  
Psychological Factors ◽  
Structural Equation ◽  
Subjective Norms ◽  
Equation Modeling ◽  
Intention To Use ◽  
Negative Effects ◽  
Confirmatory Factor ◽  
Negative Effect ◽  
Multigroup Confirmatory Factor Analysis

The present study investigates the determinants of intention to use carsharing services by an integrated model of psychological predictors of travel behavior. The model proposed is tested by multigroup confirmatory factor analysis (MGCFA) in structural equation modeling (SEM) with further discussion about analysis of invariance and its relevance for comparisons between groups. The sample was classified into four groups: Italian users, Italian non-users, Swedish users, and Swedish non-users of carsharing. The users were respondents who have used or are currently using carsharing, while non-users reported never using the carsharing services. The analysis of data from 6072 respondents revealed that control was the main predictor of intention to use carsharing; driving habits had stronger negative effects for users of carsharing than for non-users; subjective norms positively predicted the intention to use carsharing among all groups; trust was a predictor of intention only for the Italian groups; and climate morality had a small negative effect on the Swedish groups only. The outcomes of this investigation will increase the knowledge about the use of carsharing and help to identify the behavioral and psychological factors that primarily influence people’s intention to use it.

Mobile Business Effects on Employees' Social Life

2021 ◽  
Vol 13 (2) ◽  
pp. 1
Author(s):  
Husam Alfahl
Keyword(s):  
Social Life ◽  
Structural Equation ◽  
Equation Modeling ◽  
Work Family Conflict ◽  
Negative Effects ◽  
Mobile Business ◽  
Business Services ◽  
Work Related ◽  
The Social ◽  
The Impact

The use of mobile devices and smartphones is increasingly becoming a critical part of many people’s lifestyle. Such usage can vary from playing games to accomplishing work-related tasks. Being able to use organizations’ persuasive technologies via mobile business services or to achieve work-related tasks ubiquitously at any time means that such devices provide a valuable service, especially for employees who are working online. This paper explores the impact of mBusiness on the social life of employees. In the research, structural equation modeling was applied to validate the research model. Employees in Saudi organizations were surveyed to test the research hypotheses. The research results confirmed that there are some negative effects of using mBusiness technologies on the social life of employees. Based on the analysis, the findings revealed that addiction to mBusiness technologies significantly increases the perceived work overload, which also significantly increases work-family conflict. The paper concludes with some implications of this research.

The Effects of Social Class and Dental Attendance on Oral Health

2008 ◽  
Vol 87 (1) ◽  
pp. 60-64 ◽  
Author(s):  
A.N. Donaldson ◽  
B. Everitt ◽  
T. Newton ◽  
J. Steele ◽  
M. Sherriff ◽  
...  
Keyword(s):  
Oral Health ◽  
Structural Equation ◽  
Dental Health ◽  
Economic Status ◽  
Equation Modeling ◽  
Final Model ◽  
Dental Attendance ◽  
Dental Health Survey ◽  
The Uk ◽  
The Relationship

The relationship between socio-economic status (SES) and oral health is well-established. We investigated whether the association between SES and the number of sound teeth in adults is explained by dental attendance patterns, in turn determined by the effect of SES on barriers to dental attendance. Data on 3817 participants from the 1998 Adult Dental Health Survey in the UK were analyzed. Using structural equation modeling, we found a model with 4 factors (aging, SES, attendance-profile, and barriers-to-dental-attendance) providing an adequate fit to the covariance matrix of the 9 covariates. The final model suggests that the association between SES and the number of sound teeth in adults in the UK is partially explained by the pathway [SES → barriers-to-dental-attendance → dental-attendance-profile → number-of-sound-teeth]. A direct relationship, SES → number-of-sound-teeth, is also significant.

Face Gain and Face Loss in Restaurant Consumers’ Brand Advocate Behaviors

2018 ◽  
Vol 43 (3) ◽  
pp. 395-415 ◽  
Author(s):  
Yu-Shan (Sandy) Huang ◽  
Yao-Chin Wang ◽  
Pei-Jou Kuo
Keyword(s):  
Structural Equation ◽  
Word Of Mouth ◽  
Equation Modeling ◽  
Positive Word ◽  
Ideal Self ◽  
Negative Effects ◽  
Positive Effects ◽  
Social Settings ◽  
Positive Word Of Mouth ◽  
Brand Congruence

Face plays a key role in guiding consumers’ consumptions in social settings. The purpose of this research is to understand how the desire to gain face and the fear to lose face affect consumers’ self-brand congruence and brand advocate behaviors toward their favorite restaurant brands. Using structural equation modeling to analyze the survey data, the results indicated (1) that ideal-self attainability encouraged the desire to gain face while discouraging the fear to lose face, (2) that the desire to gain face exerted positive effects on positive word-of-mouth and negative avoidance through actual self-brand congruence, and (3) that the fear to lose face exerted negative effects on positive word-of-mouth through actual self-brand congruence.

Parenting quality, adversity, and conduct problems in adolescence: Testing process-oriented models of resilience

1993 ◽  
Vol 5 (4) ◽  
pp. 663-682 ◽  
Author(s):  
Scott D. Gest ◽  
Jennifer Neemann ◽  
Jon J. Hubbard ◽  
Ann S. Masten ◽  
Auke Tellegen
Keyword(s):  
Structural Equation Modeling ◽  
Conduct Problems ◽  
Structural Equation ◽  
Extended Family ◽  
Equation Modeling ◽  
Childhood And Adolescence ◽  
Moderating Effects ◽  
Negative Effects ◽  
Effective Parenting ◽  
Parenting Quality

AbstractStructural equation modeling was used (a) to determine the extent to which parent-related and non-parent-related adversity were associated with increases in conduct problems between childhood and adolescence and (b) to evaluate the possible preventive, compensatory, and moderating effects of parenting quality in this regard. Subjects were 180 boys and girls from the Project Competence longitudinal study of adversity, competence, and resilience (Garmezy & Tellegen, 1984). Conduct problems, parenting quality, and socioeconomic status were assessed when subjects were in the third through sixth grades, and adversity and conduct problems were assessed again 7 years later. Results were consistent with the view that parentrelated adversity experienced between the two assessment times was associated with a small increase in conduct problems. Adversity involving siblings, extended family, and friends was not associated with changes in conduct. Effective parenting was associated with less parent-related adversity during adolescence. Effective parenting, however, did not directly compensate for the negative effects of adversity; nor did it moderate the effects of adversity. Structural equation modeling was helpful in testing for several of these effects simultaneously. Short-term longitudinal studies with baseline measures, more frequent assessments, and adequate sample size are necessary to clarify the processes suggested by these results.

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.

scholarly journals Full Shelves, Good Skills? Immigration, Adolescent Language Aptitude and New Evidence on Books in the Home from Four European Countries

2019 ◽  
Author(s):  
Nate Breznau ◽  
Lisa Sauter ◽  
Zerrin Salikutluk
Keyword(s):  
Cultural Capital ◽  
Structural Equation ◽  
Formal Model ◽  
Economic Status ◽  
Equation Modeling ◽  
Language Aptitude ◽  
Immigrant Adolescents ◽  
9Th Grade ◽  
Childhood Home ◽  
New Evidence

Evidence suggests that books in the childhood home impacts children’s educational and occupational attainments. Previous research finds this ‘book effect’ after conditioning on parental socio-economic status and national context. Human and cultural capital theories offer plausible explanations for this book effect. However, mechanisms underlying the book effect remain empirically illusory. Drawing on previous findings, we develop theoretical arguments that human and cultural capital are not the entire story behind the book effect. Designing a formal model of all these processes, we test our claims using immigration, language and country-context to adjudicate between mechanisms hypothesized by the theories. Using CILS4EU data in four countries and structural equation modeling to test these theories’ models against the data, we find the direct effect of books does not differ between native and immigrant adolescents in predicting 9th grade language aptitude scores. Moreover, this effect does not vary much by country. Reading habits and primary language spoken at home explain only part of the effect suggesting the presence of books measures something operating independently and in addition to human and cultural capital. We expand previous theoretical explanations to include books as creating opportunities for children whose parents are unlikely to cultivate scholarly values on average.

Trust Your Boss or Listen to the Union? Information, Social Identification, Trust, and Strike Participation

2013 ◽  
Vol 18 (2) ◽  
pp. 161-178 ◽  
Author(s):  
Marieke Born ◽  
Agnes Akkerman ◽  
René Torenvlied
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Important Determinant ◽  
Social Identification ◽  
Equation Modeling ◽  
Willingness To Participate ◽  
Labor Strikes ◽  
Source Of Information ◽  
New Discovery

We investigate two questions regarding the effect of information on participation in labor strikes: First, how are social identification and trust used as filters for information? Second, we investigate how cross-pressures affect willingness to participate. Using a dataset of 468 union members, we test hypotheses about the relationships between information, identification, trust, and participation with structural equation modeling. Specifically, we find that information from and identification with the union are highly important determinants of participation. Regarding information from management, trust is the most important determinant for preventing workers from participation. We also find a difference between workers who have previous strike experience and those who do not. These findings indicate that workers use different mechanisms for filtering information, depending on the source of information. This is a new discovery in mobilization research.

Electronic Word-of-Mouth

2014 ◽  
pp. 227-280 ◽  
Author(s):  
Emel Yıldız ◽  
Hasan Ayyıldız
Keyword(s):  
Cultural Values ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Reliability And Validity ◽  
Equation Modeling ◽  
Electronic Word Of Mouth ◽  
Online Forums ◽  
Negative Effects ◽  
Electronic Survey ◽  
Positive Effects

This chapter examines the effects of word-of-mouth motivations and culture on electronic word-of-mouth behavior. This chapter also focuses on the effects of cultural values on electronic word-of-mouth behavior. Within the context of the study, online forums in which consumers write comments have been used. The data was obtained from an electronic survey provided to 561 consumers. The reliability of scales has been tested via the Cronbach's Alfa Method and the validity of scales has been tested by Factor Analysis. After determining the reliability and validity of the scales, research hypotheses were tested by Structural Equation Modeling (SEM) and Multiple Regression Analysis. The findings show that motivation and culture have positive effects on electronic word-of-mouth behavior. This chapter also attempts to explain the effects of cultural values on electronic word-of-mouth behavior, and it is found that while uncertainty avodiance and masculinity have positive effects, individualism and power distance have negative effects on electronic word-of-mouth behavior.

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