Digital Module 16: Longitudinal Data Analysis

In this digital ITEMS module, Dr. Jeffrey Harring and Ms. Tessa Johnson introduce the linear mixed effects (LME) model as a flexible general framework for simultaneously modeling continuous repeated measures data with a scientifically defensible function that adequately summarizes both individual change as well as the average response. The module begins with a nontechnical overview of longitudinal data analyses drawing distinctions with cross-sectional analyses in terms of research questions to be addressed. Nuances of longitudinal designs, timing of measurements, and the real possibility of missing data are then discussed. The three interconnected components of the LME model—(1) a model for individual and mean response profiles, (2) a model to characterize the covariation among the time-specific residuals, and (3) a set of models that summarize the extent that individual coefficients vary—are discussed in the context of the set of activities comprising an analysis. Finally, they demonstrate how to estimate the linear mixed effects model within an open-source environment (R). The digital module contains sample R code, diagnostic quiz questions, hands-on activities in R, curated resources, and a glossary.     

Occupational Knowledge and Practice amongst UK University Research Administrators

With the exception of lecturing staff, research on occupational groups and cultures within the UK higher education system is relatively sparse. This paper focuses upon one specialist group, to-date under-researched but which plays a central role in contemporary higher education administration: graduate research administrators. This occupational group is of particular interest as its members administer and manage an increasing complex and key area of university life, which in many cases appears to span the putative occupational divide between 'academic' and 'administrative' work. Based upon qualitative interviews with 27 research administrators, and using some of Bourdieu's conceptual devices, the paper analyses particular kinds of informal occupational knowledge and practice, necessary in order effectively to 'do' the complex task of research administration in the pressurized environment of contemporary British higher education.     

Should Children Attend Their Parent's Funerals?

The paper discusses elements of the findings of 'Iceberg', a doctoral study at the University of York addressing many issues of child bereavement through a retrospective study of nearly one hundred individuals who had either experienced the death of a parent when they were at school, or were the surviving parent of such a child. The research revealed issues of lack of control and information for children after a parental death. Forty-seven per cent of those in the study attended the funeral of their parent. There was correlation between the age of children and attendance at the funeral. Of the fifty-three per cent of children not attending, twenty-four per cent of them were forbidden to attend, whilst eleven per cent of them were distracted from attending the funeral, such as being sent to school or a neighbours and being unaware that it was taking place. None of the children attending the funeral reported any negative experiences, and two thirds of them reported it as a positive or helpful event. In contrast, over three-quarters of those not attending later wished that they had. Over a third had feelings of regret, others feeling that they had been excluded from the family at the time of the death, and felt anger, hurt, and frustration. The conclusion was that the best strategy is to give children informed choice about whether or not to attend. If children do attend a negative outcome seems unlikely, but it would be prudent to prepare them as to what to expect at the ceremony.