Randomized response model in a matched pair study

The development of randomized response models for personal interview surveys has attracted much attention since the pioneering work of Warner [1965. Randomized response: a survey technique for eliminating evasive answer bias. J. Amer. Statist. Assoc. 60, 63–69]. Several randomized response models have been developed by researchers for collecting data on both qualitative and the quantitative variables, but none of these models discuss matched pair data. In this paper, we develop a new randomized response model and study its application to an important political question.     

Analysis of ordered covariate effects among groups with repeated measurements

Testing procedures for ordered covariate effects are developed in the repeated measures experiment. The maximum likelihood estimators of covariate effects under the ordered hypothesis are approximated by the isotonic regression of their unconstrained estimators. The asymptotic null distributions of the test statistics are chi-bar-square distributions which are mixtures of chi-square distributions. A Monte-Carlo simulation reveals that the proposed test for ordered covariate effects is seriously more powerful than the usual chi-square test that neglects the information on the order restriction. These testing methods are applied for analyzing the effect of vitamin E diet supplement on growth rate of animals.     

Testing for a unit root in an arima(p,1,0) signal observed with ma(q) noise

An ARIMA(p,1,0) signal disturbed by MA(q) noise is an ARIMA(p,1, p+q+1) process restricted by nonlinear constraints on parameters. For this model with a unit root the restricted maximum likelihood estimator (RMLE) of the unit root is strongly consistent and it has the same limiting distribution as the ordinary least squares estimator of the unit root in an AR(1) model tabulated by Dickey and Fuller (1979). A modified RMLE is proposed which has the same limiting properties as the RMLE and is computationally much simpler. Simulation results show that our unit root tests based on the modified RMLE perform very well for small samples and compare favorably with the Said and Dickey (1985) tests with respect to both sizes and powers. An illustrative example from sample survey is given.     

Kernel Smoothing Density Estimation when Group Membership is Subject to Missing

Density function is a fundamental concept in data analysis. Non-parametric methods including kernel smoothing estimate are available if the data is completely observed. However, in studies such as diagnostic studies following a two-stage design the membership of some of the subjects may be missing. Simply ignoring those subjects with unknown membership is valid only in the MCAR situation. In this paper, we consider kernel smoothing estimate of the density functions, using the inverse probability approaches to address the missing values. We illustrate the approaches with simulation studies and real study data in mental health.     

On the Sampling Performance of an Improved Stein Inequality Restricted Estimator

Using the Stein (1964) variance estimator, this paper defines a modified Stein inequality constrained estimator and derives its exact risk under quadratic loss. Numerical evaluations show that over a wide range of the parameter space, the modified Stein inequality constrained estimator has lower risk than the traditional Stein inequality constrained estimator introduced by Judge et al . (1984).     

On the asymptotic non‐equivalence of efficient‐GMM and MEL estimators in models with missing data

The generalized method of moments (GMM) and empirical likelihood (EL) are popular methods for combining sample and auxiliary information. These methods are used in very diverse fields of research, where competing theories often suggest variables satisfying different moment conditions. Results in the literature have shown that the efficient‐GMM (GMM_E) and maximum empirical likelihood (MEL) estimators have the same asymptotic distribution to order n^?1/2 and that both estimators are asymptotically semiparametric efficient. In this paper, we demonstrate that when data are missing at random from the sample, the utilization of some well‐known missing‐data handling approaches proposed in the literature can yield GMM_E and MEL estimators with nonidentical properties; in particular, it is shown that the GMM_E estimator is semiparametric efficient under all the missing‐data handling approaches considered but that the MEL estimator is not always efficient. A thorough examination of the reason for the nonequivalence of the two estimators is presented. A particularly strong feature of our analysis is that we do not assume smoothness in the underlying moment conditions. Our results are thus relevant to situations involving nonsmooth estimating functions, including quantile and rank regressions, robust estimation, the estimation of receiver operating characteristic (ROC) curves, and so on.     

Revisiting the concept “dialogue” in public relations

This paper follows a critical approach in exploring the philosophical underpinnings and key features of dialogue in public relations practice and thinking. It argues that dialogue has been uncritically equated to two-way symmetrical communication, which has not done justice to the nature of dialogue, and has effectively stifled concrete development of a dialogic theory in public relations. The paper draws from a range of literature, including mainstream public relations and communication philosophy—in particular the philosophy of Martin Buber. The purpose of this paper is to inform public relations thinking by encouraging debate rather than proposing a new theoretical approach. As such, it sets out to explore the concept of dialogue and its philosophical underpinning, considers its practical application and suggests that it should not be seen as superior to persuasion.     

四川棉花育成品种产量结构分析

采用相关分析和通径分析,对四川10年来育成品种（组合）的单株铃数、单铃重、衣分与皮棉产量的关系进行了分析。其中常规棉各结构因素与皮棉产量均为极显著正相关,而杂交棉仅衣分达极显著正相关,表明杂交棉的产量潜力比常规棉大。在对皮棉产量比CK增产5％以上的常规棉和增产10％以上的杂交棉的分析中,铃重与皮棉产量均为负相关。表明常规棉和杂交棉高产潜力的进一步改良,重点应提高结铃数和衣分。     

Social investment,social service and the economic performance of welfare states

This article begins with an examination of the role of social services as the key instrument of social investment strategy, presenting an empirical analysis of its impact on economic performance. A pooled time series, cross‐section analysis was conducted with the data of 15 welfare states from 1990 to 2007 under the ‘social investment hypothesis’ that more social service orientedness brings about a greater positive effect on the economy. The results show that a larger share of social service spending in the total social expenditure – more social service orientedness – contributes to economic growth and labour market performance, whereas a larger aggregate size of the welfare state may have a negative effect on employment. In conclusion, this study suggests that the relatively ambiguous welfare strategy of social investment could be clarified as a ‘transition from income security to livelihood security’ in which emphasis is placed on social service. Key Practitioner Message: ● This study suggests that the key instrument of social investment strategy is social service; ● The results show that more social service orientedness contributes to economic growth and labour market performance.     

Longitudinal dyadic analyses of emotion dysregulation and mother–child relationship quality in Chinese children with teacher‐reported oppositional defiant disorder

This study examined whether and how mothers' and children's perceptions of mother–child relationship quality mediated associations between mothers' and children's initial emotion dysregulation and children's emotion dysregulation and oppositional defiant disorder (ODD) symptoms 2 years later. The participants were 155 Chinese children with teacher‐reported ODD and their mothers derived from a three‐wave (2 years apart) longitudinal study. A multiple‐informant approach and a dyadic analysis approach (i.e., actor–partner interdependent modeling) were used. The results revealed that (a) mothers' and children's emotion dysregulation was significantly related to their own and their partners’ concurrent perceptions of relationship quality; (b) mothers' and children's perceptions of relationship quality from Wave 1 to Wave 2 were stable but were also interdependent, such that one's own perception of relationship quality at Wave 1 related to the partner's perception at Wave 2; and (c) relationship quality at the two waves interdependently mediated the associations between mothers' and children's emotion dysregulation at Wave 1 and children's emotion dysregulation and ODD symptoms at Wave 3. Implications for family intervention programs targeting maternal and child emotion dysregulation and strengthening mother–child relationship quality for children with ODD were discussed.