The attainment of doctoral degrees at Flemish Universities: a survival analysis

This paper examines the propensity to attain a Ph.D. degree at the five largest universities in Flanders, the Dutch speaking part of Belgium. It provides insight into the rate at which junior scholars appointed at the universities involved attained their Ph.D.-degree, and the duration of the doctoral training period. Cox’s regression model was applied to statistically analyse the influence of a number of ‘demographic’ and ‘merit’ variables, and variables related to funding source and type of appointment of the junior scholarly staff. Large differences in Ph.D. durations and attainment rates were found across funding sources, research disciplines and types of appointments. The policy background and implications are discussed briefly.     

The Effect of Group Orientated Classroom Management Procedures on Individual Pupils

Summary This study was designed to test the hypothesis that group orientated classroom management procedures may achieve their apparent success merely by raising still further the on‐task behaviour of non‐troublesome pupils. To this end, 1812‐13 year old pupils in a secondary school remedial class were observed and their individual levels of on‐task behaviour recorded. The class teacher's use of approval and disapproval was also noted.

Following the collection of baseline data, a modified, simple ‘rules, praise and ignoring’ intervention strategy was implemented, followed by a partial reversal to baseline conditions. Mean class on‐task behaviour was clearly shown to increase from 77% at baseline to 91% during intervention and this was maintained during the partial reversal. Moreover, it was shown that every pupil's on‐task behaviour increased, these increases varying between 3 and 33%, the pupils with the lowest baseline levels making the biggest gains.     

Overcoming resistance to formal instructional development processes

The instructional development (id) process sometimes is perceived as being too time-intensive and as delaying instructional materials development. Course writers holding these perceptions may resist following a formalid process or give only cursory attention to early stages in the process. Such a situation can create conflict between course writers and instructional designers responsible for implementing a particularid model. This article describes a way instructional designers can overcome some of the resistance to following theid process.     

Contemporary Art and the Role of Interpretation: Reflections from Tate Modern's Summer Institute for Teachers

Recent research indicates that the taught curriculum in art and design secondary school education pays scant attention to meaning‐making in visual art. This article explores possibilities for teaching interpretation through a report on an action‐research project based on Tate Modern's Summer Institute for Teachers. In doing so it argues for the value and necessity of interpretation as a taught skill.     

Latent Class Modeling with A Time-To-Event Distal Outcome: A Comparison of One,Two and Three-Step Approaches

Latent class methods can be used to identify unobserved subgroups which differ in their observed data. Researchers are often interested in outcomes for the identified subgroups and in some disciplines time-to-event outcome measures are common, e.g., overall survival in oncology. In this study Monte Carlo simulation is used to evaluate the empirical properties of latent class effect estimates on a time-to-event distal outcome using one, two and three-step approaches. Both standard and inclusive bias-corrected three-step approaches are considered. One-step latent class effect estimates are shown to be superior to the evaluated alternatives. Both the two-step approach and a standard three-step approach, where subjects are partially assigned to latent classes, produced unbiased estimates with nominal confidence interval coverage when latent classes were well separated, but not otherwise.

     

Institutional Expenditures and Student Engagement: a Role for Financial Resources in Enhancing Student Learning and Development?

The concept of student engagement is receiving increased attention from researchers, higher education leaders, and the general public in recent years. This increased attention represents a shift from the more traditional resource and reputation model of academic quality to a model that emphasizes institutional best practices and student experiences that enhance student learning and development. At the same time, institutions face rising operating costs and the public faces rising costs of attendance. However, relatively little effort has been made to explore the potential relationship between these two important research and policy areas. This study examined the relationship between institutional expenditures and student engagement based on data from 142 colleges and universities. The results of an OLS multiple regression model, including a factor for student engagement as the dependent variable, suggest that administrative expenditures are negatively related to student engagement. These results support further exploration of potential complex causal links between expenditures and engagement and may provide support for initiatives to reverse historical trends and adjust institutional spending.I would like to thank Ms. Cathy Statham for assistance in obtaining data for this study.     

Accounting for Model Uncertainty in the Prediction of University Graduation Rates

Empirical analysis requires researchers to choose which variables to use as controls in their models. Theory should dictate this choice, yet often in social science there are several theories that may suggest the inclusion or exclusion of certain variables as controls. The result of this is that researchers may use different variables in their models and come to disparate conclusions with respect to predicted effects and their statistical significance. In such cases one is uncertain of which particular set of regressors forms the model that represents the data. The approach used below accounts for uncertainty in variable selection by using Bayesian model averaging (BMA). Accounting for uncertainty, we demonstrate that BMA provides better out-of-sample prediction for university graduation rates than results based on alternative variable selection methods.