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.     

Merging data from multiple sources: pretest and shrinkage perspectives

In this article, we have developed asymptotic theory for the simultaneous estimation of the k means of arbitrary populations under the common mean hypothesis and further assuming that corresponding population variances are unknown and unequal. The unrestricted estimator, the Graybill-Deal-type restricted estimator, the preliminary test, and the Stein-type shrinkage estimators are suggested. A large sample test statistic is also proposed as a pretest for testing the common mean hypothesis. Under the sequence of local alternatives and squared error loss, we have compared the asymptotic properties of the estimators by means of asymptotic distributional quadratic bias and risk. Comprehensive Monte-Carlo simulation experiments were conducted to study the relative risk performance of the estimators with reference to the unrestricted estimator in finite samples. Two real-data examples are also furnished to illustrate the application of the suggested estimation strategies.     

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.     

Some new construction of circular weakly balanced repeated measurements designs in periods of two different sizes

Abstract

Balanced repeated measurements designs (RMDs) balance out the residual effects. Williams Latin square designs work as minimal combinatorial balanced as well as variance balanced for RMDs for p (period sizes) = v (number of treatments). If minimal balanced RMDs cannot be constructed for the situations where p must be less than v then weakly balanced RMDs should be preferred. In this article, some generators are developed to generate circular weakly balanced RMDs in periods of two different sizes. To obtain the proposed designs, some construction procedures are also described for some of the cases where we could not develop generators.     

Simultaneous estimation of Cronbach’s alpha coefficients

The simultaneous estimation of Cronbachs alpha coefficients from q populations under the compound symmetry assumption is considered. In a multi-sample scenario, it is suspected that all the Cronbachs alpha coefficients are identical. Consequently, the inclusion of non-sample information (NSI) on the homogeneity of Cronbachs alpha coefficients in the estimation process may improve precision. We propose improved estimators based on the linear shrinkage, preliminary test, and the Steins type shrinkage strategies, to incorporate available NSI into the estimation. Their asymptotic properties are derived and discussed using the concepts of bias and risk. Extensive Monte-Carlo simulations were conducted to investigate the performance of the estimators.     

A study of some ridge-type shrinkage estimators

In this paper,several ridge-type shrinkage estimators are studied with respect to their relative efficiency. Some interrelationships which exist among these estimators are pointed out. One of these estimators, T∞ based on the work of Mehta and Srinivasan (1971), is shown to be a flexible estimator, which has clear advantages over its competitors. A useful approximation for calculation of the relative efficiency of T∞ is also presented.     

Women on boards and bank efficiency in ASEAN-5: the moderating role of the independent directors

Corporate governance codes around the world promote women’s presence in corporate board. The extant literature suggests women directors contribute to improve monitoring and advisory role of the board. This study aims to examine the role of independent women directors in improving banks’ efficiency. Using 102 commercial banks from ASEAN-5 countries for a period of 1999–2012, we run generalized method of moments models to test the relationship between the variables. Our results show that banks with independent women directors on board contribute significantly to the bank’s efficiency level. Contrary to the literature, we found that the appointment of women directors or independent directors alone does not significantly enhance banks’ efficiency. The result suggests that women directors are more effective on boards if they are also appointed as independent directors. This finding implies that a combination of corporate governance mechanism is more powerful than relying on a single element of corporate governance.     

Analysing local perceptions of post‐conflict and post‐floods livelihood interventions in Swat,Pakistan

The Swat valley in Pakistan’s Khyber Pakhtunkhwa (KP) province was affected by a protracted conflict and super flood between 2007 and 2010. This article explores local perceptions of the Swat response, which presented complex challenges for rehabilitation and livelihood recovery of affected communities. This study examines local perceptions of how non‐governmental organizations (NGOs) and government response addressed livelihood revival needs, considers questions relating to the nature and dynamics of the conflict and floods and reflects on the issues and lessons of post‐disaster relief and development. The qualitative case study was conducted between September 2010 and February 2011. Primary data were collected in 11 villages and localities from beneficiaries and non‐beneficiaries, government representatives, community leaders and programme officials involved in livelihood interventions. This article identifies the shortcomings associated with the targeted response, as well as the types of response offered in the form of beneficiary selection and elite co‐opting of aid. The response was affected by a lack of relief, recovery and development programme co‐ordination, weak institutional support and non‐prioritization of local needs. The article recommends that for effective development policy and practice, local ownership of response and recovery programmes needs to be promoted.