David Cameron,the politics of doublethink and contemporary discourses of disability in the United Kingdom

The expiry of the Coalition Government has prompted analyses of its track record regarding disabled UK citizens. While others have adeptly reviewed the government’s actions in the policy arena, this article considers the Conservative–Liberal Democrat coalition in terms of its construction of, and influence on, political discourses surrounding disability in the United Kingdom. This is important because language has the power to shape material realities.     

A doubly robust goodness-of-fit test in general linear models with missing covariates

In this article, we utilize a form of general linear model where missing data occurred randomly on the covariates. We propose a test function based on the doubly robust method to investigate goodness of fit of the model. For this aim, kernel method is used to estimate unknown functions under estimating equation method. Doubly robustness and asymptotic properties of the test function are obtained under local and alternative hypotheses. Furthermore, we investigate the power of the proposed test function by means of some simulation studies and finally we apply this method on analyzing a real dataset.     

North Central Sociological Association 2017 Teaching Address—The John F. Schnabel Lecture: Creative Use of Stories as a Pedagogical Tool in the Classroom

Using stories to transmit values, cultures, traditions, and religions from one generation to the next has been practiced in almost all societies for centuries. In this lecture, the author reflects on the creative use of stories as a pedagogical tool in the classroom—specifically, in large general education classes where most students have little or no background in sociology. The author concludes that the use of stories in the classroom is a powerful pedagogical tool that creates a link between sociology’s concepts and real life, clarifying and simplifying complex issues, and making a long-lasting impression on students.     

Reliability of a soccer player based on the bivariate Rayleigh distribution with right censored and ignorable missing data

In this paper, we study the performance of a soccer player based on analysing an incomplete data set. To achieve this aim, we fit the bivariate Rayleigh distribution to the soccer dataset by the maximum likelihood method. In this way, the missing data and right censoring problems, that usually happen in such studies, are considered. Our aim is to inference about the performance of a soccer player by considering the stress and strength components. The first goal of the player of interest in a match is assumed as the stress component and the second goal of the match is assumed as the strength component. We propose some methods to overcome incomplete data problem and we use these methods to inference about the performance of a soccer player.