Generalized neighbor designs with block size 3

A generalized neighbor design relaxes the equality condition on the number of times two treatments as neighbors in the design. In this article, we have considered the construction of some classes of generalized neighbor designs with block size k=3 by using the method of cyclic shifts. The distinguishing feature of this construction method is that the properties of a design can easily be obtained from the sets of shifts instead of constructing the actual blocks of the design. A catalog of generalized neighbor designs with block size k=3 is compiled for v∈{5,6,…,18} treatments and for different replications. We provide the reader with a simpler method of construction, and in general the catalog that gives an open choice to the experimenter for selecting any class of neighbor designs.     

Inference on effect size indices from several two-armed experiments

The statistical inference problem on effect size indices is addressed using a series of independent two-armed experiments from k arbitrary populations. The effect size parameter simply quantifies the difference between two groups. It is a meaningful index to be used when data are measured on different scales. In the context of bivariate statistical models, we define estimators of the effect size indices and propose large sample testing procedures to test the homogeneity of these indices. The null and non-null distributions of the proposed testing procedures are derived and their performance is evaluated via Monte Carlo simulation. Further, three types of interval estimation of the proposed indices are considered for both combined and uncombined data. Lower and upper confidence limits for the actual effect size indices are obtained and compared via bootstrapping. It is found that the length of the intervals based on the combined effect size estimator are almost half the length of the intervals based on the uncombined effect size estimators. Finally, we illustrate the proposed procedures for hypothesis testing and interval estimation using a real data set.     

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.     

Can Public Management Contribute to Governance in Developing Countries?

Governance ensures a wide range of desirable values including efficiency, productivity, participation, transparency, and accountability. The wide scope and overambitious demands of governance make it difficult to conceptualize and operationalize. Despite huge investments in time and resources, developing countries seldom succeed in establishing good governance. Based on the experience of Hong Kong, this article argues that many of the desired values of governance can be attained through effective design and the implementation of public management reforms. Public management cannot serve as an alternative for governance, but reforms in this area can help update and adjust institutional structures, processes, and practices in developing countries; they help to ensure the benefits of the desired values of governance without undertaking enormous risks. However, the size of a country and the nature of its political system will influence the degree of success in establishing governance.     

Constructing Co-governance between Government and Civil Society: An Institutional Approach to Collaboration

The aim of this paper is to analyze how civil society organizations (CSOs) collaborate with both developed and developing governments in Asia through institutional processes. It argues that in developed countries, institutional arrangements have a positive impact on collaboration. Favourable administrative governance can create collaboration between governments and CSOs. This paper reports on 3,944 studies of CSOs from 2004 to 2009 in Tokyo, Seoul, Manila, and Dhaka. CSOs in Tokyo have better combined collaborative and institutional processes than those in the other three cities. Governance in Seoul is more polarized than in the other cities, and in both Manila and Dhaka, despite there being a high degree of institutionalized relations between CSOs and the government, their collaboration is low. This research also finds that intermediary institutions between governments and CSOs play a role in co-governance.     

Environmental Sustainability and Social Work: A Rural Australian Evaluation of Incorporating Eco-Social Work in Field Education

Climate change poses significant threat to the wellbeing of global society. Addressing this change has as yet generated no fixed blueprint for social work practice and education. This paper reports on a formative evaluation of one Australian initiative to address this transformative opening in social work field education. Prompted by service users' and workers' experience of the impact of drought, a rurally located social work course team amended the field education curriculum to include a focus on Environment and Sustainability. This learning goal was added to the existing learning goals derived from the Australian Association of Social Workers (AASW) Practice Standards. Students and field supervisors were surveyed on their experience of meeting this new learning goal. While most expressed confidence in understanding the concepts involved, they clearly lacked assurance in interpreting these in practice encounters. Considering their qualitative input suggests that this topic is making a transition from being on the margins of social work to becoming mainstream. Their open-ended responses indicate that the incorporation of environmental sustainability into practice is at a threshold stage of development. Further enactment of eco-social work at the local level is concluded to be supported by using a transformative learning framework in facilitating critical reflection and collaborative dialogue for effective change.     

Estimation and simulation of conditional hazard function in the quasi-associated framework when the observations are linked via a functional single-index structure

We consider the estimation of the conditional hazard function of a scalar response variable Y given a Hilbertian random variable X when the observations are linked via a single-index structure in the quasi-associated framework. We establish the pointwise almost complete convergence and the uniform almost complete convergence (with the rate) of the estimate of this model. A simulation is given to illustrate the good behavior in the practice of our methodology.     

Estimation of Several Intraclass Correlation Coefficients

An intraclass correlation coefficient observed in several populations is estimated. The basis is a variance-stabilizing transformation. It is shown that the intraclass correlation coefficient from any elliptical distribution should be transformed in the same way. Four estimators are compared. An estimator where the components in a vector consisting of the transformed intraclass correlation coefficients are estimated separately, an estimator based on a weighted average of these components, a pretest estimator where the equality of the components is tested and then the outcome of the test is used in the estimation procedure, and a James-Stein estimator which shrinks toward the mean.