A Structural Equation Modeling Approach for the Analysis of Cortisol Data Collected Using Pre–Post–Post Designs

Abstract

This study introduces a novel application of structural equation modeling (SEM) for the analysis of cortisol data that are collected using a pre–post–post design. By way of an extended example, an SEM model is developed that permits an examination of both the overall level of cortisol, as well as changes in cortisol (reactivity and regulation), as predictors of cognitive (executive) and behavioral functioning in 3- to 5-year-old children (N = 171) attending Head Start. The SEM model makes use of the parameterization of latent curve models. Throughout the extended example, the strengths of using an SEM approach for the analysis of cortisol data that are collected using pre–post–post designs is highlighted.     

The anatomy of agency: Improving academic performance in first-year university students

The transition from secondary to tertiary education can be challenging, as students must adapt to independent learning. For students in the allied health and nursing disciplines, this transition may coincide with compulsory first-year courses in anatomy, which are traditionally difficult to master. Students' agency—their capacity to make intentional choices to alter the path of their learning—may play a role in their successful completion of first-year anatomy courses. This study aimed to develop a measure for agency and to determine whether agency is associated with academic achievement. First-year students (n = 131) completed open-ended questions measuring each aspect of agency. Student responses were quantified using rubrics and then combined to create an overall agency score. Three factors of agency were determined: action, metacognition, and self-efficacy. Students with higher agency scores were significantly more likely to have higher academic achievement in anatomy compared to students with lower agency scores. The relationship between agency and academic achievement was strongest for action. These results suggest that encouraging students to be active participants in their learning may help them to achieve at university.     

A tale of two cities’ university rankings: comparing Hong Kong and Singapore

Hong Kong and Singapore were former British colonies, have a predominant Chinese population and value. They began to develop quickly in the late 1960s, become financial hubs of the world in the 21st century. This paper reviews the tertiary education development of the two cities, particularly on the perspective of university rankings. It first elaborates about the emergence of university rankings, and the reason why it becomes a growing exercise, and who would be the benefactors of these exercises. Then it examines the performance of universities of the two cities in the international university ranking systems, makes a general assessment about the relative merits of the higher education systems in both cities. The paper requests ranking comparisons on the detailed items rather than just the sums, and argues that universities in the two cities are on par.     

‘Role stretch’: assessing the blurring of teaching and non‐teaching in the classroom assistant role in Scotland

With the increasing number of teaching and classroom assistants across the UK there is now much debate about what their role should be. In particular concerns have arisen about the extent to which they overstep the boundary from supporting teaching and learning into teaching pupils. This study assesses this issue within Scotland. It draws on a national survey of 2000 head teachers, teachers and classroom assistants and interviews with directors of education in nearly half of all Scottish local authorities. Findings from the research suggest a small number of classroom assistants in Scotland are overstepping the boundary into teaching. The paper concludes with an explanation as to why this is happening taking into account aspects such as local authority policy, school size and the individual characteristics of the classroom assistants.