Feminist Politics in Contemporary Turkey: Neoliberal Attacks,Feminist Claims to the Public

This article aims to offer a critical reading of the feminist claims to the public sphere in Turkey in the 2000s when there was transformation in the way public and private spheres are defined. We try to link the feminist claims to the public with the shifts in the patriarchal regime of the country in the decade. The main argument of the article is that feminist politics of the 2000s had the potential for an alternative imagination of the public and that they also faced the risk of assimilation into the de-/re-publicization process of the same period. The article starts with a brief outline of the post-1980 period, which hosted both the emergence of independent feminist organizing and the neoliberal restructuration of Turkey’s politics. It continues with the analysis of the Justice and Development Party’s terms in government, as the consolidation of neoliberal restructuration process. We conclude with the (possible) feminist interventions to the new mode of patriarchy that emerges out of this process.     

Path analysis and determining the distribution of indirect effects via simulation

The difference between a path analysis and the other multivariate analyses is that the path analysis has the ability to compute the indirect effects apart from the direct effects. The aim of this study is to investigate the distribution of indirect effects that is one of the components of path analysis via generated data. To realize this, a simulation study has been conducted with four different sample sizes, three different numbers of explanatory variables and with three different correlation matrices. A replication of 1000 has been applied for every single combination. According to the results obtained, it is found that irrespective of the sample size path coefficients tend to be stable. Moreover, path coefficients are not affected by correlation types either. Since the replication number is 1000, which is fairly large, the indirect effects from the path models have been treated as normal and their confidence intervals have been presented as well. It is also found that the path analysis should not be used with three explanatory variables. We think that this study would help scientists who are working in both natural and social sciences to determine sample size and different number of variables in the path analysis.     

Estimating Box-Cox power transformation parameter via goodness-of-fit tests

Box–Cox power transformation is a commonly used methodology to transform the distribution of the data into a normal distribution. The methodology relies on a single transformation parameter. In this study, we focus on the estimation of this parameter. For this purpose, we employ seven popular goodness-of-fit tests for normality, namely Shapiro–Wilk, Anderson–Darling, Cramer-von Mises, Pearson Chi-square, Shapiro-Francia, Lilliefors and Jarque–Bera tests, together with a searching algorithm. The searching algorithm is based on finding the argument of the minimum or maximum depending on the test, i.e., maximum for the Shapiro–Wilk and Shapiro–Francia, minimum for the rest. The artificial covariate method of Dag et al. (2014) is also included for comparison purposes. Simulation studies are implemented to compare the performances of the methods. Results show that Shapiro–Wilk and the artificial covariate method are more effective than the others and Pearson Chi-square is the worst performing method. The methods are also applied to two real-life datasets. The R package AID is proposed for implementation of the aforementioned methods.     

Collaboration patterns among Swedish professionals in the repatriation of unaccompanied asylum-seeking refugee children: an explorative study

This study explores patterns of collaboration between Swedish professionals involved in the repatriation of unaccompanied asylum-seeking refugee children. A qualitative case study methodology was used. Semi-structured interviews were conducted with a total of 20 statutory social workers, social workers at care homes, police officers, Swedish Migration Board officers, and legal guardians. A thematic approach was used to analyse the data. The results showed low levels of collaboration among the professionals and the use of different strategies by the professionals to manage their work tasks. Patterns were found among the professionals: some tended to isolate themselves from interaction and acted on the basis of personal preference, and others tended to behave sensitively, withdraw, and become passive observers rather than active partners in the repatriation process. These behaviours made it difficult for the relevant professionals to employ dignity and efficiency in the repatriation of unaccompanied asylum-seeking refugee children.     

The changing relationship between unemployment and total fertility

The aim of this paper is to investigate whether there has been a fundamental change in the relationship between economic conditions and fertility. We use panel data methods to study the short-term changes in total fertility and the unemployment rate in a range of Organisation for Economic Co-operation and Development (OECD) countries from 1957 to 2014. We find that although fertility was counter-cyclical before 1970, with good economic times being associated with lower fertility, since then it has become pro-cyclical, with good economic times being associated with higher fertility.     

Gender Inequalities in Academic Innovation and Enterprise: A Bourdieuian Analysis

This paper demonstrates that engagement in innovation and enterprise activity in SET departments within three UK universities is, in part, gendered. A Bourdieuian approach is adopted to identify underlying structures and practices that have causal powers to generate gender‐based inequalities. Drawing on empirical research with 52 participants, this study reveals gendered science enterprise experiences, characterized by a field that is considered strong in shaping the habitus and presenting stark options to women in pursuit of their careers. It demonstrates the multilayered nature of the fields that shape gendered experiences and resultant inequalities by taking into account individual dispositions of academics and their habitus, including their science enterprise experience and the wider commercial field beyond the university, and generates a number of implications for practice and policy.     

New calibration estimator in stratified sampling

This paper develops the theory of calibration estimation and proposes calibration approach alternative to existing calibration estimators for estimating population mean of the study variable using auxiliary variable in stratified sampling. The theory of new calibration estimation is given and optimum weights are derived. A simulation study is carried out to performance of the proposed calibration estimator with other existing calibration estimators. The results reveal that the proposed calibration estimators are more efficient than Tracy et al., Singh et al., Singh calibration estimators of the population mean.