An exploratory study of acculturation among Muslims in Australia

Muslims constitute 2.2% of the Australian population. Given the current socio-political climate and the limited research, the present exploratory study explores the relationship between acculturation, ethnic identity, self-identity, generational status, religiosity, and demographics among adult Australian Muslims.

A cross-sectional convenience sample of 324 adult Australian Muslims completed either online or paper-based questionnaires in either English or Arabic. Recruitment was via convenience sampling and social media advertisements. Acculturation, ethnic identity (MEIM), religiosity, and demographic variables were measured.

The study sample was young and mostly female, with high religiosity levels. Acculturation was negatively correlated with ethnic identity. From multiple regression analysis, acculturation was predicted independently by religiosity (low), age (young), gender (male) and ethnic identity (low).

First generation Australian Muslims were older, had stronger ethnic identity and religiosity, and more commonly self-identified as non-Australian. By contrast second- and third-generation were more likely to self-identify as bicultural or Australian.

In summary, acculturation of Australian Muslims is influenced by multiple variables, particularly ethnic identity, religiosity, and generation; hence all these variables need to be included in policy regarding successful integration of migrants.     

Identity construction of second-generation Iranians in Australia: influences and perspectives

Understanding the complexity of identity in the children of immigrants has become important with the growing rates of global migration. A new theoretical construct refers to an individual’s subjective representation of the interrelationships among his or her multiple group identities and how their subjective identity could be explained.

The aim of this study was to examine the impact of their Iranian background and the social characteristics of their host society, Australia, on the second generation’s understanding of their national and ethnic identity.

This cross-sectional study is based on a quantitative method. Participants in the study were second-generation Iranians aged 18–40, living in Australia. Data were collected on how these second-generation Iranians identified themselves with Iranian society and/or with the wider society, and how their chosen identity was influenced by their background, their national beliefs, their perspectives towards the host country and the host country’s perspective towards specific ethnic groups.

Overall, 137 people participated in this study, and the results show patterns of biculturalism; the majority claimed hyphenated identity wherein the second identity was shown to be the weaker identity. The main contextual factors influencing their identity formation were birth place, acculturation and attitudes towards the host.     

A comment on the orthogonalization of B-spline basis functions and their derivatives

Through the use of a matrix representation for B-splines presented by Qin (Vis. Comput. 16:177–186, 2000) we are able to reexamine calculus operations on B-spline basis functions. In this matrix framework the problem associated with generating orthogonal splines is reexamined, and we show that this approach can simplify the operations involved to linear matrix operations. We apply these results to a recent paper (Zhou et al. in Biometrika 95:601–619, 2008) on hierarchical functional data analysis using a principal components approach, where a numerical integration scheme was used to orthogonalize a set of B-spline basis functions. These orthogonalized basis functions, along with their estimated derivatives, are then used to construct estimates of mean functions and functional principal components. By applying the methods presented here such algorithms can benefit from increased speed and precision. An R package is available to do the computations.     

Securing the Market,Pacifying Civil Society,Empowering Women: The Middle East Partnership Initiative1

The “Middle East Partnership Initiative” (MEPI) is now the main framework for U.S. soft interventions in the Middle East. Established by the Republican administration in 2003, this program follows a rationale of political and economic reforms as a means to uproot terrorism and spread democracy. This article offers a content analysis of this program by questioning the assumptions behind the MEPI’s focus on “civil society” and “women’s empowerment” and by showing their significance to neoliberal regimes of pacification and securitization.     

A Sociodemographic Risk Index

In this paper, we conceptualize and develop an index of sociodemographic risk that we hypothesize will be an improvement over the standard poverty measure as a measure of risk for children’s development. The poverty line is widely used in government statistics and in research but is also widely acknowledged to have multiple shortcomings. Using recent data from the National Survey of America’s Families, we develop and examine a Sociodemographic Risk Index for two potential purposes: (a) to serve as a summary indicator of children’s environments that affect their well-being, and (b) to serve as a variable that can be used to identify at-risk subgroups of children whose well-being should be examined separately in indicator reports. Based on substantial research on children’s development, we chose five variables for the index: family income, family structure, parent education, family size, and home ownership. An additive sociodemographic risk index using these variables is strongly associated with multiple measures of child well-being in both bivariate and multivariate analyses. Hence, it serves as a good marker of risk for children and therefore as an indicator that could be monitored over time, across groups, and across places, as well as a variable that could be used to identify subgroups of at-risk children whose well-being should be monitored. However, analyses do not indicate that it performs better at identifying at-risk children than the current poverty measure. Therefore, we recommend the Sociodemographic Risk Index primarily as an additional summary indicator to be monitored, rather than as a replacement for the poverty measure.