Citizens’ Initiatives for Crisis Management and the Use of Social Media: An Analysis of COVID-19 Crisis in Bangladesh

Public Organization Review - This study analyses different social media-based citizens’ initiatives taken during the COVID-19 crisis in Bangladesh. By applying netnography on various Facebook...     

Women’s Tertiary Education Masks the Gender Wage Gap in Turkey

This paper investigates the gender wage gap for full-time formal sector employees, disaggregated by education level. The gap between the labor force participation rate of women with tertiary education and those with lower levels of education is substantial. There is no such gap for men. Hence, existing gender wage gap studies for Turkey, where we observe lopsided labor force participation rates by education levels, compare two very different populations. We disaggregate the whole sample by education level to create more homogenous sub-groups. For Turkey, without disaggregation, the gender wage gap was 13% in 2011, and women are significantly over-qualified relative to men on observed characteristics. Once we disaggregate the sample by education level, we show that the gender wage gap is 24% for less educated women and 9% for women with tertiary education in full-time formal employment. Observed characteristics only explain 1 % of this gap in absolute terms. We further disaggregate the data by public and private employment. The gender gap is higher in the private sector. However, women with tertiary education in the public sector are significantly better qualified compared to men, and consequently the adjusted gender wage gap is higher for women with tertiary education in the public sector. Our estimates also indicate a rise in the gender wage gap between 2004 and 2011.     

Comparative Study of Generalized Estimating Equations and Logistic Regressions on Different Sample Sizes and Correlation Levels

In this study, it was aimed to determine accuracy of generalized estimating equations versus logistic regressions on different correlation levels and sample sizes. For this aim, two methods were compared with different sample sizes 10, 25, 50 and 100 and correlation levels 0.0, 0.3, 0.5 and 0.8. Result of this study showed that using generalized estimating equations could be preferred versus logistic regression when the sample size is over than 25 and correlation level is higher than 0.3 on data taken from studies with repeated measurements, but logistic regression could be better when the autocorrelations do not exist.     

The nested joint clustering via Dirichlet process mixture model

This article focuses on the clustering problem based on Dirichlet process (DP) mixtures. To model both time invariant and temporal patterns, different from other existing clustering methods, the proposed semi-parametric model is flexible in that both the common and unique patterns are taken into account simultaneously. Furthermore, by jointly clustering subjects and the associated variables, the intrinsic complex shared patterns among subjects and among variables are expected to be captured. The number of clusters and cluster assignments are directly inferred with the use of DP. Simulation studies illustrate the effectiveness of the proposed method. An application to wheal size data is discussed with an aim of identifying novel temporal patterns among allergens within subject clusters.     

Improved two-parameter estimators for the negative binomial and Poisson regression models

Negative binomial regression (NBR) and Poisson regression (PR) applications have become very popular in the analysis of count data in recent years. However, if there is a high degree of relationship between the independent variables, the problem of multicollinearity arises in these models. We introduce new two-parameter estimators (TPEs) for the NBR and the PR models by unifying the two-parameter estimator (TPE) of Özkale and Kaç?ranlar [The restricted and unrestricted two-parameter estimators. Commun Stat Theory Methods. 2007;36:2707–2725]. These new estimators are general estimators which include maximum likelihood (ML) estimator, ridge estimator (RE), Liu estimator (LE) and contraction estimator (CE) as special cases. Furthermore, biasing parameters of these estimators are given and a Monte Carlo simulation is done to evaluate the performance of these estimators using mean square error (MSE) criterion. The benefits of the new TPEs are also illustrated in an empirical application. The results show that the new proposed TPEs for the NBR and the PR models are better than the ML estimator, the RE and the LE.     

Exploring the role of faith in resettlement among Muslim Syrian refugees

ABSTRACT

Over 95% of the refugees from Syria who have resettled in the United States are Muslim. The purpose of this qualitative study was to explore the role of the Islamic faith in contributing to resiliency among recently resettled refugees from Syria. Ten in-depth, semi-structured interviews were conducted with Syrian adults who had arrived in the United States between 3 months and 2 years prior to the study. Findings emphasized the primary role of the Islamic faith in the lives of participants. For participants in this study, identifying as Muslim was an essential part of their identity and served as a source of comfort, strength, pride, and humility. Parents in the study expressed fears that their children would lose their connection to their culture and would grow up to devalue the Islamic faith and traditional religious practices due to their exposure to American values which they viewed less strict regarding dress, alcohol consumption, and faith practices. Understanding the important role that the Islamic faith can have in providing a source of comfort, strength, and empowerment for Syrian refugees, and working to build infrastructure to support and sustain these faith traditions is an essential component of refugee resettlement in the United States.     

A probabilistic clustering method for data elements with normal distributed attributes

By considering uncertainty in the attributes common methods cannot be applicable in data clustering. In the recent years, many researches have been done by considering fuzzy concepts to interpolate the uncertainty. But when data elements attributes have probabilistic distributions, the uncertainty cannot be interpreted by fuzzy theory. In this article, a new concept for clustering of elements with predefined probabilistic distributions for their attributes has been proposed, so each observation will be as a member of a cluster with special probability. Two metaheuristic algorithms have been applied to deal with the problem. Squared Euclidean distance type has been considered to calculate the similarity of data elements to cluster centers. The sensitivity analysis shows that the proposed approach will converge to the classic approaches results when the variance of each point tends to be zero. Moreover, numerical analysis confirms that the proposed approach is efficient in clustering of probabilistic data.     

The Feminist “Quarantine” on Hijab: A Study of Its Two Mutually Exclusive Sets of Meanings

The discourse on feminism is sharply polarized between those who regard hijab as essentially debilitating and those who see it as an enabling tool for dignity, self-worth and freedom. This article will discuss both the negative and positive associations of hijab and point out ways it is used by Muslim women for liberatory ends. It will go against the grain of a common argument that hijab equates seclusion and constraints on women’s participation in public life hence it is inherently oppressive. I will argue that hijab can potentially be used for diametrically opposite purposes. While acknowledging the fact that the Islamic dress code for women can be misused by patriarchal power systems as well as by women themselves, I will put forth arguments against dismissive and uncritical criticism of hijab.     

Researching Asia's Third Sector

Most Asian countries have a strong third sector and a rich tradition of philanthropy. The varied array of social, economic, political, and third sector variables across the many countries of the region make Asia an ideal site for testing and developing third sector theory. The research infrastructure needed to sustain such a venture is beginning to form. The five papers published in this issue of Voluntas indicate some of the product, and the variety, of this growing body of research.     

Impact of having a high-risk pregnancy on future postpartum contraceptive method choice

BackgroundTo compare the knowledge and preference of preconceptional contraception to future postpartum contraceptive method choice in high-risk pregnancies.Research questionDoes a high-risk pregnancy condition affect future postpartum contraceptive method choice?MethodWomen hospitalised at the High Risk Pregnancy unit of a tertiary research and training hospital were asked to complete a self-reported questionnaire that included demographic characteristics, presence of unintended pregnancy, contraceptive method of choice before the current pregnancy, plans for contraceptive use following delivery and requests for any contraceptive counselling in the postpartum period.FindingsA total of 655 pregnant women were recruited. The mean age, gravidity and parity of the women were 27.48 ± 6.25 years, 2.81 ± 2.15 and 1.40 ± 1.77, respectively. High-risk pregnancy indications included 207 (31.6%) maternal, 396 (60.5%) foetal and 52 (7.9%) uterine factors. All postpartum contraceptive choices except for combined oral contraceptives (COCs) usage were significantly different from preconceptional contraceptive preferences (p < 0.001). High-risk pregnancy indications, future child bearing, ideal number of children, income and education levels were the most important factors influencing postpartum contraceptive choices. While the leading contraceptive method in the postpartum period was long-acting reversible contraceptive methods (non-hormonal copper intrauterine device Cu-IUD, the levonorgestrel-releasing intrauterine system (LNG-IUS) (40%), the least preferred method was COCs use (5.2%) and preference of COCs use showed no difference between the preconceptional and postpartum periods (p = 0.202). Overall 73.7% of the women wanted to receive contraceptive counselling before their discharge.ConclusionA high-risk pregnancy condition may change the opinion and preference of contraceptive use, and also seems to affect the awareness of family planning methods.