The Influence of Career Planning on Career Thoughts in STEM‐Interested Undergraduates

Undergraduate career planning courses have shown efficacy in decreasing students’ negative career thoughts; however, universities have minimally applied these courses to science, technology, engineering, and math (STEM) populations. This study compared the influence of a STEM‐focused career planning course for undecided STEM students with a seminar course for decided STEM majors. An analysis of covariance with covariate adjustment revealed that undecided career planning students had lower adjusted mean scores on a measure of negative career thinking than the decided STEM majors after the first semester of college. The results provide support for the efficacy of STEM‐focused career planning courses and measuring negative career thoughts with STEM undergraduates.     

Should NPOs Follow International Standards for Financial Reporting? A Multinational Study of Views

Financial reporting is an important aspect of not-for-profit organisations’ (NPOs’) accountability. Globally, numerous and varying regimes exist by which jurisdictions regulate NPO financial reporting. This article explores whether NPOs should be required or expected to follow sector-specific international financial reporting standards. We investigate stakeholder perceptions on the nature and scope of any such developed standards, interpreting our findings through the lens of moral legitimacy. Using an international online survey of stakeholders involved in NPO financial reporting, we analyse 605 responses from 179 countries. Based on our findings, we argue that diverse stakeholder groups, especially those who are involved with NPO financial reporting in developing countries, are likely to grant moral legitimacy to developed NPO international accounting standards if the consequences are to enhance NPO accounting and accountability information, subject to agreement as to whether all or only NPOs of a certain size should comply and whether any such standards should be mandatory.     

Making Civil Society Sustainable: The Legacy of USAID in Croatia

What makes civil society sustainable? This paper examines USAID “Legacy Mechanisms”—programs designed to support a stable civil society after USAID withdraws aid—in the context of post-war Croatia to reconceptualize civil society sustainability in terms of resilience. Rather than examine whether specific legacy mechanisms remained intact, this paper looks at how Croatian civil society organizations adopted, adapted, and dropped these legacy programs to respond to novel crises and a changing political and social environment once USAID exited Croatia. Drawing on archival data from USAID’s time in Croatia and interviews conducted between 2008 (the year after USAID withdrew) and 2016, this paper shows that the long-term impact USAID had on civil society lay not within the formal institutions and organizations it supported, but in the resilience, creativity, and cooperation it fostered in the civil society sector.     

Homonegativity in the Religious Dress History of the Marist Brothers, 1817–1840

This article presents a historical sociological case study of sexual oppression within the early nineteenth-century foundation period of a French Roman Catholic male religious order, the Marist Brothers, founded in 1817. The different sexualities of two rival founder figures, the priests Jean-Claude Courveille and Marcellin Champagnat, the former homosexual, the latter heterosexual, found expression in radically divergent conceptions of the religious habit. For Courveille, the costume design for the Brothers was ostentatious and stylish; for Champagnat, it was sober and clericalised. This archive-based investigation shows how Courveille's sexual orientation led to his fall from grace within the Church and the suppression of his sartorial self-expression. Champagnat, whose conventional dress rules prevailed, became a canonized saint. In the victory of the orthodox sacred dress code, the ideology of ‘clerical masculinism’ weaves its hegemonic power over the bodies of ‘men of the cloth’.     

The ‘First Generation’ in Historical Perspective: Canadian Students in the 1960s

Over the past few years a number of studies have focused on the disadvantages confronted by students who are the first in their families to attend university. Their liabilities include relatively low levels of preparedness, a lack of involvement in campus activities, and low levels of academic achievement. Rather than accepting the universality of this characterization, in this article, these negative characteristics and experiences were viewed as one ‘ideal type.’ Using this ideal type as a reference point, the current study focused on a period in Canadian history in which first generation students were the norm. In an examination of Glendon College, York University, located in Toronto Canada, in the mid 1960s, it was found that the experiences of the first generation did not fit the ideal type. Those who likely were the first in their families to attend university were prepared for their studies, involved in campus activities, and earned good grades. Possible explanations for this deviation from the ideal type include the buoyancy of the economy in the mid-sixties, an expanding university sector, the size and relative intimacy of the College, the way in which high schools prepared students for university, and stringent admission requirements.     

Public transport and people with impairments – exploring non-use of public transport through the case of Oslo,Norway

abstract

Despite the attention given to universal design in recent years, many people with impairments still refrain from travelling on public transport. This explorative case study, conducted in the greater Oslo region in Norway, aims to add knowledge on why this is so. Findings indicate that insecurity while travelling and expectations of problems along the way are significant barriers. For many it is the sum of all challenges combined, from experience or anticipation that leads to non-use of public transport. The study shows that universal design policy, as of today, does not lead to accessible public transport systems that rendered impairments irrelevant. If society could safeguard the individuals’ travel needs, this might have profound societal repercussions through increased workforce participation and value added in society. Only then can society make the best use of all its inhabitants while championing inclusiveness and equality.     

Tracing disorder across theories of autism,empathy, and mental health care

Abstract

Categories of mental disorders are generally understood through a biomedical paradigm of clinical research, diagnosis, and intervention. Here, diagnoses operate as professional tools, facilitating care organization and information exchange across diverse social contexts. In this article, I focus on how the diagnosis of autism-spectrum disorder operates in this manner. Autism conceived as a biomedical disorder is then contrasted with proposals by the neurodiversity movement, who understand core qualities of autism as alternative expressions of otherwise normal processes of brain development. Finally, I supplement these conversations with insights from Gerald Edelman’s theory of neural plasticity and Felix Guattari’s paradigm of ethico-aesthetic care. Understood together, these allow mental disorders and community care generally to be reconceived in terms of networks of expressive, embodied, and dynamically embedded rhythms that transcend individual persons. This serves, additionally, to illustrate a concept of empathy that traverses neurological, psychological, and sociocultural domains.     

Consultants' forum: should post hoc sample size calculations be done?

Pre‐study sample size calculations for clinical trial research protocols are now mandatory. When an investigator is designing a study to compare the outcomes of an intervention, an essential step is the calculation of sample sizes that will allow a reasonable chance (power) of detecting a pre‐determined difference (effect size) in the outcome variable, at a given level of statistical significance. Frequently studies will recruit fewer patients than the initial pre‐study sample size calculation suggested. Investigators are faced with the fact that their study may be inadequately powered to detect the pre‐specified treatment effect and the statistical analysis of the collected outcome data may or may not report a statistically significant result. If the data produces a “non‐statistically significant result” then investigators are frequently tempted to ask the question “Given the actual final study size, what is the power of the study, now, to detect a treatment effect or difference?” The aim of this article is to debate whether or not it is desirable to answer this question and to undertake a power calculation, after the data have been collected and analysed. Copyright © 2008 John Wiley & Sons, Ltd.     

A copula-based Markov chain model for the analysis of binary longitudinal data

A fully parametric first-order autoregressive (AR(1)) model is proposed to analyse binary longitudinal data. By using a discretized version of a copula, the modelling approach allows one to construct separate models for the marginal response and for the dependence between adjacent responses. In particular, the transition model that is focused on discretizes the Gaussian copula in such a way that the marginal is a Bernoulli distribution. A probit link is used to take into account concomitant information in the behaviour of the underlying marginal distribution. Fixed and time-varying covariates can be included in the model. The method is simple and is a natural extension of the AR(1) model for Gaussian series. Since the approach put forward is likelihood-based, it allows interpretations and inferences to be made that are not possible with semi-parametric approaches such as those based on generalized estimating equations. Data from a study designed to reduce the exposure of children to the sun are used to illustrate the methods.     

Forecast mean squared error reductionin the VAR(1) process

When VAR models are used to predict future outcomes, the forecast error can be substantial. Through imposition of restrictions on the off-diagonal elements of the parameter matrix, however, the information in the process may be condensed to the marginal processes. In particular, if the cross-autocorrelations in the system are small and only a small sample is available, then such a restriction may reduce the forecast mean squared error considerably.

In this paper, we propose three different techniques to decide whether to use the restricted or unrestricted model, i.e. the full VAR(1) model or only marginal AR(1) models. In a Monte Carlo simulation study, all three proposed tests have been found to behave quite differently depending on the parameter setting. One of the proposed tests stands out, however, as the preferred one and is shown to outperform other estimators for a wide range of parameter settings.