Civic-secular and ethnic nationalisms as bases of the nation-state: multiculturalism at the crossroads? 1

The dominant Eurocentric paradigm of the nation and the nation-state was premised on western historical experience that was indigenous to the west but claimed universality for the rest. Many post-colonial countries, particularly those that went through national liberation struggles, like India and China, with multi-ethnic mobilisations, established sovereign states. The nationalist leaders claimed the unity of nationhood for their culturally diverse countries (states), with their millennia-deep civilisational identity, compelling a new discourse on the untenability of the classic Eurocentric paradigm. The second development witnessed the inevitable cultural heterogenisation of the western countries premised on the expansion of the (immigrant) labour market through an ever-enveloping regime of economic liberalisation and world trade. The catharsis of the invasion of cheaper labour from culturally diverse countries, often native-displacing, resulted in western countries attempting to accommodate the emerging changing reality in the context of mono-cultural nations through the concept and policy of multiculturalism. In spite of this, western countries have been witness to intercultural violence, racial discrimination and threats of home grown terrorism. The paper seeks to distinguish between ‘pluralism’ and ‘multiculturalism’ and argues for a reformulation of the concept of the nation-state that will have greater applicability across states.     

Child Rights Practice among the Indigenous Communities in Bangladesh

The objective of this article was to explore the practice of child rights among the indigenous communities of Bangladesh. We used a mixed method approach to collect data from four ethnic communities in the Bandarban District of the Chittagong Division in Bangladesh. We questioned children, parents, community members, local leaders, and service providers of those communities on a number of child rights issues, for example, child education, child labor, child recreation and culture, parents' guidance to children for capacity development, and access to child rights at home and in the community according to Convention on the Rights of the Child treaty. The results showed that while the community was aware of child rights, financial vulnerability and a lack of social support meant that these rights could not be upheld in practice. The paper urges improvement of social support, including income generation activities for indigenous communities.     

An Exploratory Study of Older Adults' Engagement with Virtual Volunteerism

Virtual volunteering refers to the use of the Internet for volunteer services. It is an emerging phenomenon among every age group; however, the current study examines if it is a viable option for older people. Older adults are the fastest growing Internet users. They are also more civic minded than younger generations, thus the purpose of this study is to explore this relatively new area research. Data for this study have been collected using qualitative tools such as semistructured, partly open-ended interviews with older virtual volunteers affiliated with SeniorNet, an organization that facilitates virtual volunteering exclusively for older people. The study ends with suggestions for future research directions. Implications of this study include reconceptualization of virtual volunteering as a strategic tool to recruit older adults and greater usage of information communication technologies to promote civic engagement among older people and, thus, positively influence their health and well-being.     

Ranking Income Distributions by Deprivation Orderings

This paper has examined the problem of ranking income distributions using absolute deprivation ordering. It appears that the ranking of distributions by this ordering may be more unambiguous than that generated by the relative deprivation ordering. The class of average deprivation indices consistent with the absolute deprivation criterion is also identified.     

Bayesian and likelihood-based inference for the bivariate normal correlation coefficient

The paper develops some objective priors for correlation coefficient of the bivariate normal distribution. The criterion used is the asymptotic matching of coverage probabilities of Bayesian credible intervals with the corresponding frequentist coverage probabilities. The paper uses various matching criteria, namely, quantile matching, highest posterior density matching, and matching via inversion of test statistics. Each matching criterion leads to a different prior for the parameter of interest. We evaluate their performance by comparing credible intervals through simulation studies. In addition, inference through several likelihood-based methods have been discussed.     

Some imputation methods to compensate with non-response for estimation of population mean in two-occasion successive sampling

Abstract

Non-response is an unavoidable phenomenon in almost all sample survey, and if it is not dealt carefully at the very starting of the analysis, results may lead to significant biases in the survey estimates. Keeping these facts in mind and inspired by the work of Singh (2009 Singh, S. 2009. A new method of imputation in survey sampling. Statistics 43 (5):499–511. doi:10.1080/02331880802605114.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]), this article suggests some alternative efficient methods to deal with the missing data problems at the beginning of the analysis and proposes estimation procedures of the current population mean in two-occasion successive sampling. The properties of the resultant estimation procedures have been examined and supplemented with empirical studies. Results have been critically analyzed, and recommendations are made to the survey practitioners.     

Structure and processes of a phenomenon: The context of quality of life in India

The properties of objective or subjective variables are commonly examined with reference to a set of mutually distinct but analogous social groups structured at a time point. The procedure fails to examine what is happening across the structured groups and therefore what is likely to be the role of the variables in differentiating or integrating the ordained set of social groups. A resolution of this issue is vital for the appraisal of a better quality of life because by definition it is always an ongoing phenomenon. The issue is examined with reference to its methodological implications and with respect to QOL data on India.     

Why does “last week” reporting give higher estimates than “last month”?

Abstract

Experiments in various countries with “last week” and “last month” reference periods for reporting of households’ food consumption have generally found that “week”-based estimates are higher. In India the National Sample Survey (NSS) has consistently found that “week”-based estimates are higher than month-based estimates for a majority of food item groups. But why are week-based estimates higher than month-based estimates? It has long been believed that the reason must be recall lapse, inherent in a long reporting period such as a month. But is household consumption of a habitually consumed item “recalled” in the same way as that of an item of infrequent consumption? And why doesn’t memory lapse cause over-reporting (over-assessment) as often as under-reporting? In this paper, we provide an alternative hypothesis, involving a “quantity floor effect” in reporting behavior, under which “week” may cause over-reporting for many items. We design a test to detect the effect postulated by this hypothesis and carry it out on NSS 68th round HCES data. The test results strongly suggest that our hypothesis provides a better explanation of the difference between week-based and month-based estimates than the recall lapse theory.     

Synthetic data method to incorporate external information into a current study

We consider the situation where there is a known regression model that can be used to predict an outcome, Y, from a set of predictor variables X . A new variable B is expected to enhance the prediction of Y. A dataset of size n containing Y, X and B is available, and the challenge is to build an improved model for Y| X ,B that uses both the available individual level data and some summary information obtained from the known model for Y| X . We propose a synthetic data approach, which consists of creating m additional synthetic data observations, and then analyzing the combined dataset of size n + m to estimate the parameters of the Y| X ,B model. This combined dataset of size n + m now has missing values of B for m of the observations, and is analyzed using methods that can handle missing data (e.g., multiple imputation). We present simulation studies and illustrate the method using data from the Prostate Cancer Prevention Trial. Though the synthetic data method is applicable to a general regression context, to provide some justification, we show in two special cases that the asymptotic variances of the parameter estimates in the Y| X ,B model are identical to those from an alternative constrained maximum likelihood estimation approach. This correspondence in special cases and the method's broad applicability makes it appealing for use across diverse scenarios. The Canadian Journal of Statistics 47: 580–603; 2019 © 2019 Statistical Society of Canada