A comparison of two randomized response survey methods with consideration for the level of respondent protection

In recent years randomized response methods have been introduced in an attempt to improve the accuracy and honesty in personalized response surveys of very sensitive questions. Two randomized response methods are compared, taking into account the protection afforded the respondent. In addition, we point out that the estimators, which previous authors have claimed to be the maximum likelihood estimators of the population proportion with the sensitive characteristic, are in fact not the maximum likelihood estimators.     

On Symmetrizing Transformation of the Sample Coefficient of Variation from a Normal Population

Variance-stabilizing transformation (VST) for the sample coefficient of variation is often used as a normalizing transformation and may be used for inference on the population coefficient of variation. However, for small samples, the VST may not be symmetric and hence there is a scope of improvement in its performance by seeking a symmetrizing transformation. This article investigates such a transformation that has been obtained by solving a differential equation. The solution may be complex; hence, a numerical strategy is employed in order to make the approximation practically useful. This transformation has been compared with explicitly available VST. The approach has been illustrated on real data from an agricultural experiment concentrating on inference on single samples; however, the method may be generally applicable to multiple samples when testing the homogeneity of coefficients of variation for many populations by following usual normal-theory-based methods applied on transformed statistics.     

Optimal estimation of polynomial hazard functions

The counting process formulation (Aalen, 1978) for the analysis of life time data is briefly reviewed. This formulation is used to arrive at a regression type model and a smooth estimate of the hazard function. In the regression model, the error terms are martingales and Nelson's estimator is the dependent variable. An optimal approach for estimating the parameters of the polynomial is considered, Asymptotic normality of the optimal estimate is proved and an illustrative example is given.     

A mail survey design for sensitive character without using randomization device

In the present study, we develop theory for Takahasi and Sakasegawa's (1977) suggest ion and propose a new randomized response model suitable for mail surveys. The proposed model based estimator is unbiased and is always more efficient than the estimator based on Takahasi and Sakasegawa model.     

Peer Victimization and Psychological Maladjustment: The Mediating Role of Coping Self‐Efficacy

Not all children exposed to peer victimization experience the same type or the same degree of negative outcomes; there is heterogeneity in outcomes. This study examined coping self‐efficacy as a mediator of the relationship between peer victimization and psychological maladjustment in order to gain an understanding of this heterogeneity in children's responses to victimization. In this study, 2,161 children (1,071 females and 1,090 males), ranging in age from 10 to 15 years, 63% White, 17% Middle‐Eastern, 10% Asian, and 10% from other ethnic groups, participated. Results from the mediational analysis revealed that four coping self‐efficacy domains differentially mediated the relationship between peer victimization and social anxiety, cognitive depression, and externalizing symptoms. These findings highlight the importance of increasing children's coping self‐efficacy for proactive behavior, avoiding self‐blame, victim‐role disengagement, and avoiding aggressive behavior in order to attenuate the negative psychological outcomes of peer harassment.     

Work,Performance, and the Social Ethic of Global Capitalism: Understanding Religious Practice in Contemporary India

This ethnographic essay focuses on the relationship between religious performances and the “strong discourse” of contemporary global capitalism. It explores the subjective meaning and social significance of religious practice in the context of a rapidly expanding mass religious phenomenon in India. The narrative draws on Weber's insights on the intersections between religion and economy, phenomenological theory, performance studies, and Indian philosophy and popular culture. It shows that religion here is primarily a means of performing to and preparing for an informal economy. It gives the chance to live meaningful social lives while challenging the inequities and symbolic violence of an imposing global capitalist social ethic. Unlike exclusive formal institutions that are increasingly governed by neoliberal rationalities, the religious event provides an open and freely accessible yet challenging stage for participants to practice and prove their resolve, gifts, and sincerity. In contrast to the focus on social anomie and the reactionary characterization of contemporary religion in identity‐based arguments, this essay demonstrates that religious practice here is simultaneously a way of performing to and performing against a totalizing capitalist social order.     

A generalised stochastic model for the most recent inter-arrival time

The analysis of intervals between successive arrivals is an important component in any study of point processes. In this context, the most recent inter-arrival time (MRIAT), that is, the interval between last and second-last arrivals has a prominent place in the characterization of such a process if the study is made only for a limited period of time. In this paper, a general probability model for MRIAT is derived under some realistic assumptions. Some particular cases of the model have also been obtained which might be applicable in real data sets.     

Estimation of population mean using imputation techniques in sample surveys

To deal with the problems of non-response, one-parameter classes of imputation techniques have been suggested and their corresponding point estimators have been proposed. The proposed classes of estimators include several other estimators as a particular case for different values of the parameter. A design based approach is used to compare the proposed strategy with the existing strategies. Theoretical results have been verified through simulation studies handling real data examples.