Export, Import and Economic Growth: The Case of Transition Economies

This study analyses the relationships between export, import and economic growth for the 13 transition economies. Empirical results show that there is a unidirectional causality from economic growth to export. Empirical findings show that the growth-led export hypothesis is valid in those countries and growth is rather shaped by increase in import demand.

Knowledge and perception of female nursing students about human papillomavirus (HPV), cervical cancer,and attitudes toward HPV vaccination

Objective: The researchers aimed to evaluate the knowledge and perceptions of first-year female nursing students about human papillomavirus (HPV), cervical cancer (CC), and HPV vaccination. Participants: The sample included 690 female nursing students from sampled universities between April and June 2015. Methods: Students were surveyed by using a pretested HPV and CC awareness questionnaire. Results: More than half of the students (65.1%) answered questions incorrectly with a mean HPV knowledge score of 6.085?±?3.38. The majority of students (82.6%) did not hear HPV vaccine. Only, 2.8% of the students had been vaccinated. A statistically significant relationship was found between HPV knowledge score and hearing about HPV vaccine (U?=?28280.500, p?=?.015), and believing HPV vaccine protectiveness (χ²?=?14.153, p?=?.001). Conclusions: This study highlights the lack of knowledge and low level of awareness about HPV, CC, and HPV vaccination among first-year nursing college students.     

Recantation of Sexual Abuse Disclosure Among Child Victims: Accommodation Syndrome

Background: Disclosing the sexual abuse may be related on many individual and/or environmental factors in all age groups. The sociocultural context is the most influential factor of the disclosing process especially for those living in patriarchal cultural values. This study compares the impacts of sexual abuse and other sociodemographic variables between recanting and non-recanting victimized groups in Adana city from Turkey.

Methods: The samples attending our department were divided into two groups: group 1 comprised victims who recanted their first abuse disclosure, and group 2 comprised victims who insisted on the veracity of their first report at further evaluations. The characteristics of the child, family, and abuser were compared between recanting victims and non-recanting victims by retrospective data.

Results: Each group included 27 children, for a total of 54 subjects. All adverse social reactions after the sexual abuse, including keeping secrets and a repressive family attitude, were higher among group 1 victims than group 2 victims (p < 0.0001).

Conclusions: Although they are victimized by protecting family integrity, victims may show a tendency to keep secrets and to not immediately disclose an abuse event.     

Psychometric Properties of the Lesbian,Gay, and Bisexual Identity Scale–Turkish (LGBIS-TR)

The aim of the current study was to examine the psychometric properties of the Lesbian, Gay, and Bisexual Identity Scale (LGBIS; Mohr & Kendra, 2011) in a Turkish sample. Three hundred and ten LGB individuals participated and completed the Turkish version of the LGBIS (LGBIS-TR) along with the Satisfaction with Life, Positive and Negative Affect, and Self-Compassion Scales. Confirmatory factor analysis results yielded a good-fit for eight subscales of the LGBIS-TR. We also obtained satisfactory criterion validity and internal consistency reliability. Based on this initial study, the LGBIS-TR appears to be a psychometrically sound instrument to gauge LGB individuals’ identity experiences in Turkey. We discuss the results along with previous findings and limitations of the study, and we provide implications for further research and practice.     

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.     

Marshall–Olkin distribution: parameter estimation and application to cancer data

In this study, as alternatives to the maximum likelihood (ML) and the frequency estimators, we propose robust estimators for the parameters of Zipf and Marshall–Olkin Zipf distributions. A small simulation study is given to illustrate the performance of the proposed estimators. We apply the proposed estimators to a real data set from cancer research to illustrate the performance of the proposed estimators over the ML, moments and frequency estimators. We observe that the robust estimators have superiority over the frequency estimators based on classical sample mean.     

A new test to detect monotonic and non-monotonic types of heteroscedasticity

A direct parametric test is proposed to detect monotonic and non-monotonic types of heteroscedasticity. After giving brief information about non-monotonic types of heteroscedasticity, the test algorithm is introduced. Proposed test and usual heteroscedasticity tests are compared on monotonic and non-monotonic types of heteroscedasticity in real and artificial data.     

Optimal experimental plan for multi-level stress testing with Weibull regression under progressive Type-II extremal censoring

In the design of constant-stress life-testing experiments, the optimal allocation in a multi-level stress test with Type-I or Type-II censoring based on the Weibull regression model has been studied in the literature. Conventional Type-I and Type-II censoring schemes restrict our ability to observe extreme failures in the experiment and these extreme failures are important in the estimation of upper quantiles and understanding of the tail behaviors of the lifetime distribution. For this reason, we propose the use of progressive extremal censoring at each stress level, whereas the conventional Type-II censoring is a special case. The proposed experimental scheme allows some extreme failures to be observed. The maximum likelihood estimators of the model parameters, the Fisher information, and asymptotic variance–covariance matrices of the maximum likelihood estimates are derived. We consider the optimal experimental planning problem by looking at four different optimality criteria. To avoid the computational burden in searching for the optimal allocation, a simple search procedure is suggested. Optimal allocation of units for two- and four-stress-level situations is determined numerically. The asymptotic Fisher information matrix and the asymptotic optimal allocation problem are also studied and the results are compared with optimal allocations with specified sample sizes. Finally, conclusions and some practical recommendations are provided.     

Developing a restricted two-parameter Liu-type estimator: A comparison of restricted estimators in the binary logistic regression model

In the context of estimating regression coefficients of an ill-conditioned binary logistic regression model, we develop a new biased estimator having two parameters for estimating the regression vector parameter β when it is subjected to lie in the linear subspace restriction Hβ = h. The matrix mean squared error and mean squared error (MSE) functions of these newly defined estimators are derived. Moreover, a method to choose the two parameters is proposed. Then, the performance of the proposed estimator is compared to that of the restricted maximum likelihood estimator and some other existing estimators in the sense of MSE via a Monte Carlo simulation study. According to the simulation results, the performance of the estimators depends on the sample size, number of explanatory variables, and degree of correlation. The superiority region of our proposed estimator is identified based on the biasing parameters, numerically. It is concluded that the new estimator is superior to the others in most of the situations considered and it is recommended to the researchers.