Transportation Difficulty of Black and White Rural Older Adults

The purpose of this study was to understand self-reported transportation difficulty among rural older adults. We used data from the UAB Study of Aging (255 Black and 259 White), community-dwelling participants residing in rural areas. We examined the relationship of predisposing characteristics, enabling resources, and measures of need for care with self-reports of transportation difficulty. Blacks reported having more transportation difficulty than Whites (24.7% vs. 11.6%; p ≤ .05). When we introduced other variables, race differences disappeared, but there was a race by income interaction with transportation difficulty. Whites with lower incomes were more likely to have transportation difficulty than Whites with higher incomes. When data from Blacks and Whites were analyzed separately, income was the only variable associated with transportation difficulty among Whites. Among Blacks, income was not related to transportation difficulty but several variables other than income (age, gender, marital status, MMSE scores and depression) were.     

Membership Benefits Matter

Professional associations have provided various benefits to their members to bolster member retention and recruitment. This study explored factors that could influence members’ behavioral intentions in professional membership associations by surveying 13,229 members from eighteen associations. More specifically, this analysis focused on the effects of members’ perceptions of the personal and professional benefits offered by associations with which they are affiliated and their satisfaction with those benefits. Our results suggested that members’ perceptions of personal and professional benefits positively correlated with their intentions to renew and recommend membership. If a member perceived a higher level of benefits, he or she would demonstrate a greater likelihood of satisfaction with the benefits and therefore be more likely to renew membership or recommend it to others. This study could advance understanding of the factors that influence members’ behavioral intentions while also providing professional associations with strategies for retaining existing members.     

Using the dependent wild bootstrap for the nonparametric goodness-of-fit test for density functions

In this paper, we consider the well-known nonparametric consistent model-specification test for the stationary density function (see [Aït-Sahalia Y. Testing continuous-time models of the spot interest rate. Rev Financ Stud. 1996;9:385–426; Li Q. Nonparametric testing of closeness between two unknown distribution functions. Econ Rev. 1996;15:261–274; Fan Y, Ullah A. On goodness-of-fit tests for weakly dependent processes using kernel method. J Nonparametric Stat. 2000;11:337–360]) and reinvestigate it carefully using asymptotics and simulation. Our work reveals that the test is subject to power and size distortions, which are mainly caused by dependence or convergence rate changes under the null and alternative hypothesis. A dependent wild bootstrap is newly suggested as a feasible remedy to such distortions. Our result provides a complete explanation as well as a solution to the problem that experienced by Aït-Sahalia [Testing continuous-time models of the spot interest rate. Rev Financ Stud. 1996;9:385–426], that is, that the test rejects true models too often when independent and identically distributed asymptotic critical values are used.     

Linking government social media usage to public perceptions of government performance: an empirical study from China

Based on an online survey of 1042 Beijing residents, this study links the usage of government social media tools, including WeChat, microblogs, and apps, to public perceptions of the government’s performance. The results indicated that young people are more likely to use government microblogs. In contrast, an inverted U-shaped relationship was found between age and the utilization of government WeChat and apps. The findings also showed that people with high education, high economic status, and a local hukou were more likely to use all three government social media tools. In controlling for the demographic variables, the results showed that the most important predictor of the use of a government social media tool was the use of any other government social media tool. The general use of social media significantly influenced the use of government social media tools, whereas the direction of this influence depended on the homogeneity or heterogeneity of these behaviors. Moreover, the results revealed a linkage between government social media use and public perceptions of government performance. Functional use, especially information acquisition and participation, was a significant predictor of perceived government transparency, responsiveness, and citizen satisfaction, while the public service function significantly increased perceived government responsiveness.     

交际教学法对改善大学生"聋哑英语"现状的可行性研究

从交际教学法的产生入手，分别介绍了交际教学法的特征、教学原则、在教学实践中的应用以及作用等问题，指出它是改善“聋哑英语”现状的行之有效的方法。     

珠江三角洲观光农业发展模式与生态经济分析

２０世纪９０年代，珠江三角洲各地观光成为全国旅游开发的新亮点。本文在学术界理论研究基础上，结合实际调查，对珠江三角洲观光农业的发展模式与经营进行探讨。同时从生态学和经济学方面对珠江三角洲观光农业的可持续发展进行了分析，并提出一些可操作的对策。     

马克思主义灌输理论的形成及其在中国的发展

灌输理论是一代又一代马克思主义者共同努力的结果。不仅列宁对此进行了系统的论述，马克思、恩格斯以及考茨基（在他还是一个马克思主义者的时候）也为灌输理论的形成作出了贡献。同时，在马克思主义中国化的过程中，灌输理论不断与我国革命和建设的具体实际相结合，获得了新的发展。     

Outlier detection using difference-based variance estimators in multiple regression

In this article, we propose an outlier detection approach in a multiple regression model using the properties of a difference-based variance estimator. This type of a difference-based variance estimator was originally used to estimate error variance in a non parametric regression model without estimating a non parametric function. This article first employed a difference-based error variance estimator to study the outlier detection problem in a multiple regression model. Our approach uses the leave-one-out type method based on difference-based error variance. The existing outlier detection approaches using the leave-one-out approach are highly affected by other outliers, while ours is not because our approach does not use the regression coefficient estimator. We compared our approach with several existing methods using a simulation study, suggesting the outperformance of our approach. The advantages of our approach are demonstrated using a real data application. Our approach can be extended to the non parametric regression model for outlier detection.