An ecological synthesis of research on older women's experiences of intimate partner violence

In this systematic literature review, we synthesized the current knowledge of intimate partner violence experienced by older women. We identified 32 studies that included data collected from older women and synthesized the findings using the ecological model as an organizing framework. Themes in the microsystem included the immediate context in which the abuse takes place and impacts on older women. The mesosystem included themes on the older woman's relationships with her social network. Themes in the exosystem encompassed community-based services. Finally, themes in the macrosystem encompassed broad ideologies, mores, and influences of the geographic location. We used the ecological model to frame a discussion of implications for future research, policy, and practice.     

Split-plot designs with mirror image pairs as sub-plots

In this article we investigate two-level split-plot designs where the sub-plots consist of only two mirror image trials. Assuming third and higher order interactions negligible, we show that these designs divide the estimated effects into two orthogonal sub-spaces, separating sub-plot main effects and sub-plot by whole-plot interactions from the rest. Further we show how to construct split-plot designs of projectivity P≥3. We also introduce a new class of split-plot designs with mirror image pairs constructed from non-geometric Plackett-Burman designs. The design properties of such designs are very appealing with effects of major interest free from full aliasing assuming that 3rd and higher order interactions are negligible.     

The Implementation of Voting from Abroad: Evidence from the 2014 Turkish Presidential Election

Voting from abroad (VFA) is a complex norm and practice due to the multilevel processes, structures and actors involved. This article explores the reasons behind the eventual adoption of this practice within the context of a long and well‐known history of emigration in Turkey. During the 2014 Turkish presidential election, emigrants from Turkey were finally allowed to participate from abroad even though legislation giving them this right has been in place since 1995. Based on archival research and fieldwork in Germany and the United States, this article discusses the varying relevance of three central explanatory factors to the implementation of VFA: emigrant lobbying, the electoral expectations of potential benefit by the governing party, and the presence of broader, state‐led diaspora engagement policies. The first of these is important but insufficient, whereas the second factor is necessary. Moreover, the presence of broader, state‐led diaspora engagement policies is a mediating factor. This article finds that specific actors like political parties may play the crucial role, highlighting the need for critical examination of their role in the implementation process.     

Reliability and Some Characteristics of Circular Consecutive-k-Within-m-Out-of-n:F System

A system can be classified with respect to the physical arrangement of its components and the functioning principle. A circular consecutive k-within-m-out-of-n:F system consists of n circularly ordered components and fails if and only if there are m consecutive components that include among them at least k failed components. A circular consecutive k-within-m-out-of-n:F system turns into circular consecutive k-out-of-n:F for m = k and k-out-of-n:F system for m = n. In this study, signature-based analysis of circular consecutive k-within-m-out-of-n:F system is performed. A new approximation to this system is provided based on maximum number of failed components and an illustrative example is given for different values of n, m, k to compare the approximate results with simulated and exact results.     

Neighborhoods in Development: Human Development Index and Self-organizing Maps

The Human Development Index (HDI) has been instrumental in broadening the discussion of economic development beyond money-metric progress, in particular, by ranking a country against other countries in terms of the well being of their citizens. We propose self-organizing maps to explore similarities among countries using the components of the HDI rather than rankings. The similarities approach using the HDI components reveals information which is not available from ranking or bilateral comparisons. By illustrating clusters of countries, which we call “neighborhoods in development”, self-organizing maps draw out the potential for mutual policy learning among countries and shift the focus to discovering what kind of policies might have led countries change their position in the rankings.     

Support Needs of the Survivors of the August 17, 1999 Earthquake in Turkey

This paper aims to present a sociological analysis of social supportrelated to disaster sociology in general and earthquakes specifically.The analysis is based on field research conducted a year after the17 August 1999 East Marmara Earthquake where 18000 people died;50000 people injured; 5000 buildings collapsed and 340000 of themdamaged; 14513 businesses closed; 150000 people became unemployed;and 129338 forced to live in prefabricated houses. The researchprimarily aims to understand the support needs by focusing mainlyon the following issues about the earthquake survivors: (i) whichand what support types and areas are mostly desired by them; (ii)which independent variables are the most effective on their demands;and (iii) from which persons or institutions they have receivedsupport and wanted to be supported by. Marginal development of thecivil society; high degree of expectations of almost everythingfrom the state; psychological factors being less influentialcompared with West and education being the primary influentialfactor are some of the significant results of this research.     

Does Studying with the Local Students Effect Psycological Symptoms in Refugee Adolescents? A Controlled Study

Integration of refugees into the education system at the resettlement country is a significant issue. In this study, we investigated how refugee students are affected in terms of psychological symptoms by studying in the same classroom with their local peers. This cross-sectional study was conducted during the school year in Mardin, Turkey. Participants consisted of 105 Syrian refugee adolescents and 66 Turkish adolescents attending a secondary school. The participants completed the socio-demographic data form, war-related traumatic experiences questions, and the Strengths and Difficulties Questionnaire (SDQ). Syrian refugees had lived for an average of 5 years in Turkey. Number of adolescents who have more than one traumatic experience was 50 (47.6%). As quantified by the SDQ, it has been found that children who experience more than one traumatic event have more psychological problems than those who experienced only one traumatic event in all areas except the social problems subscale. Emotional Problems Subscale, Peer Problems Subscale and Total SDQ scores have shown statistically significant differences according to classroom typology. Experiencing a traumatic moment in war increased the psychiatric symptoms of adolescents as quantified by the SDQ. If refugee children study in the same classes as non-refugee children, their psychiatric symptoms were less frequent.

     

Variable selection in gamma regression models via artificial bee colony algorithm

Variable selection is an important task in regression analysis. Performance of the statistical model highly depends on the determination of the subset of predictors. There are several methods to select most relevant variables to construct a good model. However in practice, the dependent variable may have positive continuous values and not normally distributed. In such situations, gamma distribution is more suitable than normal for building a regression model. This paper introduces an heuristic approach to perform variable selection using artificial bee colony optimization for gamma regression models. We evaluated the proposed method against with classical selection methods such as backward and stepwise. Both simulation studies and real data set examples proved the accuracy of our selection procedure.     

Inference in multivariate linear regression models with elliptically distributed errors

In this study we investigate the problem of estimation and testing of hypotheses in multivariate linear regression models when the errors involved are assumed to be non-normally distributed. We consider the class of heavy-tailed distributions for this purpose. Although our method is applicable for any distribution in this class, we take the multivariate t-distribution for illustration. This distribution has applications in many fields of applied research such as Economics, Business, and Finance. For estimation purpose, we use the modified maximum likelihood method in order to get the so-called modified maximum likelihood estimates that are obtained in a closed form. We show that these estimates are substantially more efficient than least-square estimates. They are also found to be robust to reasonable deviations from the assumed distribution and also many data anomalies such as the presence of outliers in the sample, etc. We further provide test statistics for testing the relevant hypothesis regarding the regression coefficients.     

Why Do We Care About Having More than Others? Socioeconomic Determinants of Positional Concerns in Different Domains

This paper uses survey data to provide empirical evidence regarding the importance of positional concerns in different domains and their determinants. In the survey, respondents are asked to choose between a world in which they have more of a good than others and a world in which their endowment along with everyone else is greatly improved, but they have less than others. Our results lend support to the claim that positional concerns play a crucial role in the decision-making process of individuals, though they appear to be more influential in some domains than others. Moreover, empirical results point out relationships between the age, gender, education, and income level of the respondents and their positional concerns in different domains.