Consequences of religious and secular boundaries among the majority population for perceived discrimination among Muslim minorities in Western Europe

While the concept of symbolic boundaries and ethnic boundary-making is well established in social research, the direct consequences of these boundaries for the integration of migrants have not received much attention. This paper thus analyses whether religious and secular boundaries of national belonging among the majority population have an impact on perceived discrimination among Muslim minorities in Western Europe. To analyse this linkage, data from the International Social Survey Programme measuring the importance of religion as a symbolic boundary of national belonging among the majority have been aggregated as a regional context condition and combined with a Muslim minority subsample from the European Social Survey. The results of the multilevel models reveal that the salience of religious boundaries is associated with less perceived discrimination among Muslim minorities, while secular orientations among the majority seem to be more decisive for subjective perceptions of feeling discriminated against. Overall, the results thus challenge the role of religion as an ethno-religious demarcation and point to the relevance of secular boundaries of belonging for immigrant integration.     

The vicious circle: effects of race and class on university entrance in Brazil

Brazil has high levels of socio-economic inequality and an inequitable distribution of access to higher education. How much of this inequality is associated with race or class is an important question in light of the current debate over affirmative action and the suitability of race and social targeted policies. There are those who claim that racial disparities in the educational system are a result of students’ social status and not a result of racism, while others believe race is an important factor that superposes the effect of class. This study uses national survey data from Brazil’s Exame Nacional do Ensino Médio (National Secondary Education Exam [ENEM]) to examine the relationship between race and access to higher education of high school students between 2004 and 2008. The results document a vicious circle which connects the schooling of the young with their race, socio-economic status, and university attendance.     

Supporting the democratic political organisation of Muslim immigrants: the perspective of Muslims in the Netherlands and Germany

Using data from three survey studies, this paper examines the support for the democratic political organisation of Muslims among Muslim immigrants in the Netherlands (Studies 1, 2, and 3) and Germany (Study 3). Using a social psychological perspective, support is examined in relation to religious group identification, Muslim linked fate, perceived discrimination, fundamentalist religious belief, and host national identification. The findings in all three studies show support for the political organisation of Muslims. Furthermore, higher religious group identification and higher linked fate were associated with stronger support. More discrimination and more fundamentalist beliefs were also associated with stronger support, and part of these associations was mediated by linked fate. National identification was not associated with support for the political organisation of Muslims.     

《野草在歌唱》中的空间观

本文探索小说从弱势群体的生仔空间为视角反映殖民和父权制对非洲大陆的影响。     

Is ethnic prejudice declining in Britain? Change in social distance attitudes among ethnic majority and minority Britons

Most literature on racial prejudice deals with the racial attitudes of the ethnic majority and ethnic minorities separately. This paper breaks this tradition. We examine the social distance attitudes of white and non‐white British residents to test if these attitudes follow the same trends over time, whether they are driven by the same social processes and whether they are inter‐related. We have three main findings. Firstly, social distance from other ethnic groups has declined over time for both white and ethnic minority Britons. For the white majority there are both period and cohort elements to this decline. Secondly, we see some evidence that social distance between the majority and minority groups is reciprocal. Specifically, minorities who experience rejection by the white British feel a greater sense of distance from them. Thirdly, we find that all groups share the perception of the same ethnic hierarchy. We see evidence of particularly widespread hostility towards Muslim Britons from all ethnic groups suggesting that Muslims are singled out for negative attention from many British residents of all other backgrounds, including a large number who do not express hostility to other groups.     

Is Gaydar Affected by Attitudes Toward Homosexuality? Confidence,Labeling Bias,and Accuracy

Previous research has largely ignored the relationship between sexual orientation judgement accuracy, confidence, and attitudes toward homosexuality. In an online study, participants (N = 269) judged the sexual orientation of homosexual and heterosexual targets presented via a series of facial photographs. Participants also indicated their confidence in each judgment and completed the Modern Homonegativity Scale (Morrison & Morrison, 2002). We found that (1) homosexual men and heterosexual women were more accurate when judging photographs of women as opposed to photographs of men, and (2) in heterosexual men, negative attitudes toward homosexual men predicted confidence and bias when rating men’s photographs. Findings indicate that homosexual men and heterosexual women are similar in terms of accuracy in judging women’s sexuality. Further, especially in men, homophobia is associated with cognitive biases in labeling other men but does not have a relationship with increased accuracy.     

Differences in Experiences of Discrimination in Accessing Social Services Among Transgender/Gender Nonconforming Individuals by (Dis)Ability

Transgender and gender nonconforming (GNC) individuals frequently experience discrimination and potentially a lack of respect from service providers, suggesting they have decreased access to professionals with cultural competency. Similarly, people with disabilities experience higher levels of discrimination in social services than their nondisabled counterparts. From an intersectional perspective, this study examines rates of discrimination in accessing social services faced by transgender and GNC people, comparing across ability. Data indicate that although transgender and GNC individuals of all abilities experience gender-based discrimination when accessing social services, those with disabilities experience higher levels of antitransgender discrimination in mental health centers, rape crisis centers, and domestic violence shelters.     

Joint GEEs for multivariate correlated data with incomplete binary outcomes

This study considers a fully-parametric but uncongenial multiple imputation (MI) inference to jointly analyze incomplete binary response variables observed in a correlated data settings. Multiple imputation model is specified as a fully-parametric model based on a multivariate extension of mixed-effects models. Dichotomized imputed datasets are then analyzed using joint GEE models where covariates are associated with the marginal mean of responses with response-specific regression coefficients and a Kronecker product is accommodated for cluster-specific correlation structure for a given response variable and correlation structure between multiple response variables. The validity of the proposed MI-based JGEE (MI-JGEE) approach is assessed through a Monte Carlo simulation study under different scenarios. The simulation results, which are evaluated in terms of bias, mean-squared error, and coverage rate, show that MI-JGEE has promising inferential properties even when the underlying multiple imputation is misspecified. Finally, Adolescent Alcohol Prevention Trial data are used for illustration.     

Marginal models for the association structure of hierarchical binary responses

Clustered binary responses are often found in ecological studies. Data analysis may include modeling the marginal probability response. However, when the association is the main scientific focus, modeling the correlation structure between pairs of responses is the key part of the analysis. Second-order generalized estimating equations (GEE) are established in the literature. Some of them are more efficient in computational terms, especially facing large clusters. Alternating logistic regression (ALR) and orthogonalized residual (ORTH) GEE methods are presented and compared in this paper. Simulation results show a slightly superiority of ALR over ORTH. Marginal probabilities and odds ratios are also estimated and compared in a real ecological study involving a three-level hierarchical clustering. ALR and ORTH models are useful for modeling complex association structure with large cluster sizes.     

Modeling binary familial data using Gaussian copula

Modeling binary familial data has been a challenging task due to the dependence among family members and the constraints imposed on the joint probability distribution of the binary responses. This paper investigates some useful familial dependence structures and proposes analyzing binary familial data using Gaussian copula model. Advantages of this approach are discussed as well as some computational details. An numerical example is also presented with an aim to show the capability of Gaussian copula model in more sophisticated data analysis.