A Quantitative Analysis of the Effects of Postsecondary Institution Conversions from Not-For-Profit to For-Profit

This study highlights the changes that have occurred at postsecondary institutions after conversion from not-for-profit to for-profit control. Using Delta Cost Project Data and a pre-post study design with a control group of not-for-profit institutions that did not convert, comparisons are drawn. The findings suggest that institutions that convert experience greater enrollment growth, a decline in fulltime employment levels per full time equivalent (FTE) student, no change in average expenses per FTE student, a decrease in total revenue, a decrease in Pell Grants received, a decrease in tuition and fees revenue, and a decline in average subsidy per student post conversion. These findings are critical to the creation of informed policy decisions regarding institutional conversions.     

The Impact of Personal Finance Education Delivered in High School and College Courses

This study investigates the impact of personal finance education delivered in high school and college. Outcomes of interest were investment knowledge and household savings rates measured years after the financial education was delivered. A web-based survey with questions about participation in financial education, financial experiences, income and inheritances, and demographic characteristics was administered to 1,039 alumni from a large midwestern university. Participation in a college level personal finance course was associated with higher levels of investment knowledge. Experience with financial instruments appeared to explain more of the variance in both investment knowledge and savings rates. No significant relationship between taking a high school course and investment knowledge was found. Financial experiences were found to be positively associated with savings rates.

Legal Consciousness in Action: Lay People and Accountability in the Jury Room

Qualitative Sociology - This paper argues that lay people’s legal consciousness, defined as how they experience and interpret the law and legal meanings, can be studied by observing natural...     

Piloting different approaches to personalised offender management in the English criminal justice system

Various approaches to personalisation are well-established in the UK social care sector and are now starting to ‘travel’ to other sectors. In this paper we report findings from an evaluation of a pilot to test elements of personalisation in the management of offenders in probation services within the English criminal justice system. Following a review of evidence from social care, three different approaches to personalised-practice were developed and tested on a small-scale in three separate sites. The evaluation finds that all three approaches were implemented reasonably successfully, but challenges were identified including that personalised approaches are more time-consuming, that staff need support to exercise professional discretion and that balancing greater choice with managing criminogenic risk requires new ways of conceptualising the relationship between case manager and service user. Overall, ‘deeper’ approaches to personalisation, such as co-production, will take time to emerge. This paper makes two important contributions to the debate on personalisation in public services. First, it addresses the question of how transferable the concept of personalisation is from the social care sector to other sectors in the UK, in this case the criminal justice system. Secondly, it outlines a methodology for developing and evaluating personalisation pilots, prior to a wider roll-out.     

Bayesian credible intervals for response surface optima

In response surface methodology, one is usually interested in estimating the optimal conditions based on a small number of experimental runs which are designed to optimally sample the experimental space. Typically, regression models are constructed from the experimental data and interrogated in order to provide a point estimate of the independent variable settings predicted to optimize the response. Unfortunately, these point estimates are rarely accompanied with uncertainty intervals. Though classical frequentist confidence intervals can be constructed for unconstrained quadratic models, higher order, constrained or nonlinear models are often encountered in practice. Existing techniques for constructing uncertainty estimates in such situations have not been implemented widely, due in part to the need to set adjustable parameters or because of limited or difficult applicability to constrained or nonlinear problems. To address these limitations a Bayesian method of determining credible intervals for response surface optima was developed. The approach shows good coverage probabilities on two test problems, is straightforward to implement and is readily applicable to the kind of constrained and/or nonlinear problems that frequently appear in practice.     

Being a service user and a social work academic: balancing expert identities

Abstract

I am a service user and academic working in a university social work department. My hybrid identity allows me to draw on different types of knowledge in all aspects of my work, including: academic, practice and experiential wisdom. Service user involvement is mandated across social work education but the scope and breadth of different kinds of participation is developed in diverse ways across university contexts. This article affirms the value of service user involvement in health and social care education, exploring its positive impact on students. When lecturers share personal experience of using services alongside practice and academic wisdom in the course of teaching, sometimes the value of experiential knowledge is doubted and its influence dismissed. I examine the importance of experiential wisdom in social work education, specifically when it is embedded in an academic role in a university social work department, and consider how it can be respected and valued. The parallel experiences of involving peer support workers in mental health services, who use their knowledge of recovery to mentor other service users, are then briefly examined, together with reflection of the concerns across mental health with professionals sharing their experiential wisdom with the people that they support.     

Confidence intervals on p(y < x) for small sample sizes

When F = G^a, confidence intervals are derived and presented in graphs for p = P(Y < X), when X and Y are independent and the sample sizes are at most 25. Also, it is demonstrated via a monte carlo simulation that this is a robust procedure, when the distributions of X and Y differ by a location parameter.