Children and well-being: A comparison of employed and non-employed women

While employment improves health, having children at home does not. Indeed, the most likely work-family conflict for women is having children at home. In this study the effect of children on well-being was predicted to differ for employed and non-employed women. In addition, only amongst the employed women was locus of control hypothcsized to moderate this relationship. In a sample of women with partners (n = 116), using multiple-regression analysis, the results indicated that the number of children living at home, rather than the presence of young children, was associated with increased happiness in women. Employment was not predictive of women's well-being. However, it moderated the effect of number of children on their levels of happiness. In addition, non-employed women showed a U-shaped relationship between number of children and psychological distress. Finally, contrary to prediction, locus of control did not moderate the relationship between number of children and women's well-being. The findings are discussed in terms of the role expansion hypothesis.     

Early stopping in seamless phase I/II clinical trials

In recent years, seamless phase I/II clinical trials have drawn much attention, as they consider both toxicity and efficacy endpoints in finding an optimal dose (OD). Engaging an appropriate number of patients in a trial is a challenging task. This paper attempts a dynamic stopping rule to save resources in phase I/II trials. That is, the stopping rule aims to save patients from unnecessary toxic or subtherapeutic doses. We allow a trial to stop early when widths of the confidence intervals for the dose-response parameters become narrower or when the sample size is equal to a predefined size, whichever comes first. The simulation study of dose-response scenarios in various settings demonstrates that the proposed stopping rule can engage an appropriate number of patients. Therefore, we suggest its use in clinical trials.     

Rare and clustered population estimation using the adaptive cluster sampling with some robust measures

The use of robust measures helps to increase the precision of the estimators, especially for the estimation of extremely skewed distributions. In this article, a generalized ratio estimator is proposed by using some robust measures with single auxiliary variable under the adaptive cluster sampling (ACS) design. We have incorporated tri-mean (TM), mid-range (MR) and Hodges-Lehman (HL) of the auxiliary variable as robust measures together with some conventional measures. The expressions of bias and mean square error (MSE) of the proposed generalized ratio estimator are derived. Two types of numerical study have been conducted using artificial clustered population and real data application to examine the performance of the proposed estimator over the usual mean per unit estimator under simple random sampling (SRS). Related results of the simulation study show that the proposed estimators provide better estimation results on both real and artificial population over the competing estimators.     

Island Char Resources Mobilization (ICRM): Changes of Livelihoods of Vulnerable People in Bangladesh

This paper presents a pen picture about the changes of livelihood patterns to the char people, mostly living under poverty in Bangladesh. The study was conducted on the three Northern Districts such as Nilphamari, Lalmonirhat and Pabna in Bangladesh, where the Char Resources Mobilization project was provided by an international non-government organization—Concern Worldwide Bangladesh. The study used mixed method approach where quantitative data were collected from 378 households (126 from each District) using structured interview schedule. A number of qualitative data collection methods such as focus group discussion, participant observation, community mapping, case study, and key informants interview guidelines were used to collect data about the conditions of the Char people in terms of understanding its connection with their livelihoods and socio-economic consequences. This study compares the changes with influential factors with a baseline survey conducted in 2007. Findings showed that there were a number of areas such as education, income, family assets and properties, annual household income, employment, savings, improving market chain, food intake and food security, presence of governmental and non-governmental organizations’ services and awareness about disaster and vulnerability and coping strategies were found positive. The study also observed some negative changes on assets base and livelihood options. The paper argues that the findings on these changes will help to formulate policy on poverty alleviation for the government and non-government authorities who implement the similar type of programmes.     

Misestimating Betting Behavior: The Role of Negative Asymmetries in Emotional Self Prediction

This paper addresses the role of negative asymmetries in emotional self-prediction by looking at the extent to which individuals misestimate their own betting behavior in sequential gambles. In a series of three experimental studies, we demonstrate that losses lead to higher than planned bets whereas bets are on average carried over after gains. Such asymmetric deviations from the plan emerge (1) when monetary and non-monetary incentives are used, and (2) when participants face fair and unfair gambles. The asymmetry is based on people’s inability to predict how much the negative emotions generated by a bad experience (e.g. the loss) will influence them to put more effort (e.g. bet more) than planned in an attempt to re-establish a homeostatic state in the prospect of a good experience (e.g. winning).     

Modified profile likelihood estimation for the Weibull regression models in survival analysis

In this study, adjustment of profile likelihood function of parameter of interest in presence of many nuisance parameters is investigated for survival regression models. Our objective is to extend the Barndorff–Nielsen’s technique to Weibull regression models for estimation of shape parameter in presence of many nuisance and regression parameters. We conducted Monte-Carlo simulation studies and a real data analysis, all of which demonstrate and suggest that the modified profile likelihood estimators outperform the profile likelihood estimators in terms of three comparison criterion: mean squared errors, bias and standard errors.     

Challenges of implementing restorative justice for intimate partner violence: An Islamic perspective

ABSTRACT

Intimate partner violence (IPV) is currently recognized as a critical public health concern and a human rights issue. Not surprisingly, Muslims – a religiously and socio-culturally diverse faith-based populace – are not an exception. To address this complex area of criminal justice and social policy, some scholars advocate implementing restorative justice (RJ) approaches. While RJ approaches have been traditionally used in Islamic cultures for conflict resolutions, to date, few studies have investigated how RJ operates in dealing with IPV in Muslim countries and communities. This article explores how RJ approaches towards IPV operate in some Muslim countries/communities, and offers insights into developing culturally and religiously appropriate ways of implementing RJ in IPV situations among Muslims. Given the prevalence of IPV among Muslims, the question is particularly important and timely. Taking exclusively limited examples of RJ approaches that have been used to mediate IPV cases in Muslim countries and communities, this paper found one significant challenge in the RJ approaches among Muslims: community acceptance of IPV. To reduce IPV in Muslim society, it is necessary to develop treatment models and techniques that meet cultural and religious needs. This paper found that since RJ is not alien to Islamic teachings, RJ approaches can be implemented effectively in dealing with IPV among Muslims by ensuring justice and equity of the abused woman. The findings of this paper will assist policymakers, practitioners, and service providers in providing religiously and culturally appropriate care when addressing IPV issues among Muslims.     

Fabric that weaves stories: Pua kumbu and contemporary Iban identity construction in Sarawak,Malaysia

This article examines the process of identity construction among the Iban indigenous people of Sarawak in Malaysia through pua kumbu – their sacred and ritual cloth. Although the Ibans are popularly known for their headhunting practices and longhouse dwellings, these cultural practices are in major decline and therefore pua kumbu is brought to the forefront as a significant means of identity construction. By illustrating the meanings, narratives, and ceremonies associated with pua kumbu, this article demonstrates that pua kumbu is not just a piece of sacred or ritual cloth; rather, it has significant meanings in the everyday life of the Ibans. It connects the Ibans with distinctly eternal meanings of their life and cosmology, past histories, and their connections to the physical environment. It thus helps the process of maintaining a boundary and identity construction of the Ibans by distinguishing between ‘us and them’ – the Ibans and others.     

Use of log−log survival function in modeling time-covariate interactions in Cox regression

Plotting of log−log survival functions against time for different categories or combinations of categories of covariates is perhaps the easiest and most commonly used graphical tool for checking proportional hazards (PH) assumption. One problem in the utilization of the technique is that the covariates need to be categorical or made categorical through appropriate grouping of the continuous covariates. Subjectivity in the decision making on the basis of eye-judgment of the plots and frequent inconclusiveness arising in situations where the number of categories and/or covariates gets larger are among other limitations of this technique. This paper proposes a non-graphical (numerical) test of the PH assumption that makes use of log−log survival function. The test enables checking proportionality for categorical as well as continuous covariates and overcomes the other limitations of the graphical method. Observed power and size of the test are compared to some other tests of its kind through simulation experiments. Simulations demonstrate that the proposed test is more powerful than some of the most sensitive tests in the literature in a wide range of survival situations. An example of the test is given using the widely used gastric cancer data.     

The Perceptions of Women’s Roles and Progress: A Study of Malay Women

This study examines the general perceptions of women towards their roles, their interpretation of progress, as well as the facilitating factors and barriers to their progress. Questionnaires were distributed to 1,000 Malay women in Malaysia from rural and urban areas, from various age and income groups. Interviews were also carried out on the selected sample. Using both quantitative and qualitative methods of analyses, the results showed that women were perceived to play a strong, influential, and supportive role in their families. The results also showed how women perceive progress. These findings are discussed in relation to culture, socialization, values and norms of the Malay society.