Small area estimation under a multivariate linear model for repeated measures data

In this article, small area estimation under a multivariate linear model for repeated measures data is considered. The proposed model aims to get a model which borrows strength both across small areas and over time. The model accounts for repeated surveys, grouped response units, and random effects variations. Estimation of model parameters is discussed within a likelihood based approach. Prediction of random effects, small area means across time points, and per group units are derived. A parametric bootstrap method is proposed for estimating the mean squared error of the predicted small area means. Results are supported by a simulation study.     

Between play and the quotidian: inscriptions of monstrous characters on the racialised bodies of children

Abstract

Despite critiques pointing out that racism has become normalised in early childhood settings, relatively little attention has been paid in such contexts to the everyday practices in which racial inequities are made. In seeking to interrogate the ways in which racism roosts in the routine, this article interrogates quotidian responses to children’s playful activity, drawing on data generated in an ethnographic study in a London-based nursery. The article argues that the imaginative characters players embody become ‘fixed’ on particular children – when these characters coincide with reified assumptions about the raced, classed, and gendered body – whilst serving as mobile resources for others. Such reification, which is a concentration of complex historic and contemporary social relations in the political economy, is not only harmful and unjust but limits understandings of racialisation and inequity.     

A Preliminary Report on the Relationship Between Microaggressions Against Black People and Racism Among White College Students

Previous efforts to understand microaggressions have surveyed stigmatized group members’ experiences of receiving microaggressions. This report presents the first attempt to measure self-reported likelihood of delivering microaggressions rather than receiving microaggressions and to explore the association between the likelihood of delivering microaggressions and racial prejudice. We conducted a cross-sectional survey of 33 black and 118 non-Hispanic white undergraduate students at a large public Southern/Midwest university. Black students reported the degree to which a series of statements would be experienced as microaggressive. White students reported their likelihood of delivering those statements and completed measures of racial prejudice. White students’ self-reported likelihood of engaging in microaggressive acts was significantly related to all measures of racial prejudice. The single item “A lot of minorities are too sensitive” was the strongest predictor of negative feelings toward black people. Results offer preliminary support that the delivery of microaggressions by white students is not simply innocuous behavior and may be indicative of broad, complex, and negative racial attitudes and explicit underlying hostility and negative feelings toward black students.     

Small area estimation using reduced rank regression models

Abstract

Small area estimation techniques have got a lot of attention during the last decades due to their important applications in survey studies. Mixed linear models and reduced rank regression analysis are jointly used when considering small area estimation. Estimates of parameters are presented as well as prediction of random effects and unobserved area measurements.     

Jargons for deafness as institutional constructions of the deaf body

Jargons for deafness are seen here as social institutional constructions of the deaf body. Social institutions develop agendas commensurate with their view of the place of deaf people in society, create jargons to define its deaf clientele base and proffer programmes to construct them. This study examines current jargons developed by constellations of 'healing', 'helping' and 'agencist' social institutions developed in the USA since 1990 in light of their purposes and practices.     

Local Influence Analysis in AB–BA Crossover Designs

The aim of this article is to develop methodology for detecting influential observations in crossover models with random individual effects. Various case‐weighted perturbations are performed. We obtain the influence of the perturbations on each parameter estimator and on their dispersion matrices. The obtained results exhibit the possibility to obtain closed‐form expressions of the influence using the residuals in mixed linear models. Some graphical tools are also presented.