Fragments of Modernization: Domestic Spaces Indicating Traditional Dialects in a Modern Speech

This article examines the change in Turkish domestic space through modernization and, in particular, the artifact of lace, as a nonchanging object in Turkish home in its relationship with the “traditional” and the “modern” domestic settings. Thereby it investigates how traditional and modern settings are defined in Turkish society and, this leads to a further analysis of the modernization process in Turkey within the scope of Turkish house and its domestic settings. The aim of the article is to analyze lace as an agent, which is an actant of the change in domestic settings, to read the connection between the daily life of people and social lives of artifacts. Therefore, examining the dialogue of lace with traditional and modern domestic settings provides to deconstruct the network of the artifact, the house and the individual during the modernization process that Turkish society has been through. The theoretical perspective of the article relies on a material‐semiotic approach with an emphasis on Latour's Actor‐Network Theory and, the methodology of the article is based on ethnography: It includes observations and semi‐structured interviews conducted with people from different social environments focusing on the meaning and the use of lace in domestic environment.     

Factors that Influence the Life Satisfaction of Women Living in the Northern Cyprus

The main aim of this paper is to evaluate the life satisfaction among women living in the Northern Cyprus by focusing on socio-economic and gender related factors. Within this context, we aim to analyze the influence of socio-personal characteristics of Northern Cypriot women in regard to life satisfaction. To fulfill these objectives, a questionnaire survey has been applied to 510 women living in the major cities of Northern Cyprus. Applying an ordered logit model, this paper examines the role of several factors such as normal and social reference income, employment, and savings, health, and education, participation in the household expenditures, being a full-time housewife, domestic violence, political preferences, and perception of government performance on life satisfaction. The results demonstrate that good health, high education, high income, saving, high household income has positive effects on life satisfaction whereas domestic violence, being a full-time housewife, unemployment and social reference income has negative effects on life satisfaction.     

A cluster tree based model selection approach for logistic regression classifier

Model selection methods are important to identify the best approximating model. To identify the best meaningful model, purpose of the model should be clearly pre-stated. The focus of this paper is model selection when the modelling purpose is classification. We propose a new model selection approach designed for logistic regression model selection where main modelling purpose is classification. The method is based on the distance between the two clustering trees. We also question and evaluate the performances of conventional model selection methods based on information theory concepts in determining best logistic regression classifier. An extensive simulation study is used to assess the finite sample performances of the cluster tree based and the information theoretic model selection methods. Simulations are adjusted for whether the true model is in the candidate set or not. Results show that the new approach is highly promising. Finally, they are applied to a real data set to select a binary model as a means of classifying the subjects with respect to their risk of breast cancer.     

Life Satisfaction Among Turkish and Moroccan Immigrants in the Netherlands: The Role of Absolute and Relative Income

In this paper we investigate the role of several socio-economic and non-economic factors such as absolute and relative income, education and religion to explain the differences of happiness levels of Turkish and Moroccan Immigrants in the Netherlands by using ordered logit model. We focus on members of the Moroccan and Turkish communities, as these are the two largest non-EU immigrant communities in the Netherlands. Our findings reveal that Moroccans, although they have lower income levels and higher unemployment rates than Turkish immigrants, their happiness level is higher than the Turkish immigrants. In order to understand this dilemma a questionnaire survey was performed to 111 Turkish and 96 Moroccan immigrants in Rotterdam, Amsterdam, Den Haag, Utrecht and Arnhem in 2010. The main purpose is to investigate how reference group’s self-reported life satisfaction is related to the level of absolute income; the level of relative income and other socio-economic factors. The main findings are that for Turkish sample relative income is significantly and negatively correlated with life satisfaction whereas, both absolute income (positively) and relative income (negatively) are significantly correlated with life satisfaction for Moroccan case.     

‘It is like being put through a blender’: inclusive research in practice in an Australian university

Abstract

How can university-based researchers committed to a position of solidarity with, and activism alongside, people with disabilities maintain such a stance in the metric-driven environment of the modern university? How can the academy ensure there is the opportunity for people with disabilities to contribute to production of the knowledge in which they have most at stake, in a wider environment where access to basic services for people with disabilities is precarious? In this article we draw on our experience as a team of university-based and community-based researchers with and without disabilities to reflect on these questions, using a framework of reflexive solidarity to consider practical strategies for strengthening the relationship between disability activism and the academy.     

A New Robust Regression Method Based on Particle Swarm Optimization

Regression analysis is one of methods widely used in prediction problems. Although there are many methods used for parameter estimation in regression analysis, ordinary least squares (OLS) technique is the most commonly used one among them. However, this technique is highly sensitive to outlier observation. Therefore, in literature, robust techniques are suggested when data set includes outlier observation. Besides, in prediction a problem, using the techniques that reduce the effectiveness of outlier and using the median as a target function rather than an error mean will be more successful in modeling these kinds of data. In this study, a new parameter estimation method using the median of absolute rate obtained by division of the difference between observation values and predicted values by the observation value and based on particle swarm optimization was proposed. The performance of the proposed method was evaluated with a simulation study by comparing it with OLS and some other robust methods in the literature.