Underestimating busyness: Indications of nonresponse bias due to work-family conflict and time pressure

International research shows that both work-family conflict and time pressure are increasing in Western societies. With these increased pressures, precisely those people who are combining work and family obligations may be missing from survey estimates. This study investigates whether the measurement of work-family conflict (WFC) and time pressure is influenced by nonresponse bias. Using the Flemish “Work, Family and Time use in Flanders”-survey and the Basic Question survey for nonrespondents of this survey, we investigate whether nonrespondents score higher on subjective and objective indicators of WFC and time pressure than respondents. Results show that nonrespondents are indeed those sample units who experience significantly more WFC and time pressure, demonstrating that WFC and time pressure related nonresponse biases exist. Implications and suggestions to reduce bias in data collections are discussed.     

Behavioral pathways to private well risk mitigation: A structural equation modeling approach

Complex, multihazard risks such as private groundwater contamination necessitate multiannual risk reduction actions including seasonal, weather-based hazard evaluations. In the Republic of Ireland (ROI), high rural reliance on unregulated private wells renders behavior promotion a vital instrument toward safeguarding household health from waterborne infection. However, to date, pathways between behavioral predictors remain unknown while latent constructs such as extreme weather event (EWE) risk perception and self-efficacy (perceived behavioral competency) have yet to be sufficiently explored. Accordingly, a nationwide survey of 560 Irish private well owners was conducted, with structural equation modeling (SEM) employed to identify underlying relationships determining key supply management behaviors. The pathway analysis (SEM) approach was used to model three binary outcomes: information seeking, post-EWE action, and well testing behavior. Upon development of optimal models, perceived self-efficacy emerged as a significant direct and/or indirect driver of all three behavior types—demonstrating the greatest indirect effect (β = −0.057) on adoption of post-EWE actions and greatest direct (β = 0.222) and total effect (β = 0.245) on supply testing. Perceived self-efficacy inversely influenced EWE risk perception in all three models but positively influenced supply awareness (where present). Notably, the presence of a vulnerable (infant and/or elderly) household member negatively influenced adoption of post-EWE actions (β = −0.131, p = 0.016). Results suggest that residential and age-related factors constitute key demographic variables influencing risk mitigation and are strongly mediated by cognitive variables—particularly self-efficacy. Study findings may help contextualize predictors of private water supply management, providing a basis for future risk-based water interventions.     

The extent of children's knowledge of court as estimated by guardians ad litem

‘Knowledge of court’ questionnaires were completed by 35 designated professionals (guardians ad litem) with specific responsibility for children in family proceedings in the civil judicial system within England and Wales who then estimated the percentage of 11‐year old children, in general, which they would expect to provide a ‘full’, ‘partial’ and ‘incorrect’ answer to each question. These estimations were compared with normative data on this questionnaire obtained from actual 11‐year‐olds. This comparison suggests that guardians ad litem tend to overestimate the extent of such children's knowledge, implying that individual children may not be as well prepared for involvement with the legal system as such informed professionals might believe; such a tendency might render it less likely that easily corrected misconceptions and gaps in knowledge be identified and subsequently addressed, thereby failing to minimize the stress (e.g. fear of the unknown) which can often accompany contact with the courts. The possibility that the discrepancy between actual and estimated scores might be, in part, due to a failure in adults to adopt the ‘psychological perspective’ of the child in the unfamiliar world of the adult judicial system is discussed. Although this possibility requires further investigation, making an explicit effort to ‘get into the child's shoes’ is suggested as a potentially valuable and practical first step towards reducing such discrepancies. Copyright © 2000 John Wiley & Sons, Ltd.     

Issues in the development of a computer-based safety programme for children with severe learning difficulties

In the last decade, professional interest in and awareness of the sexual abuse of children has increased dramatically and has led to the development of safety programmes which aim to teach children a range of personal safety skills (Tutty, 1992). These efforts have previously concentrated on children in mainstream schools, but there is growing recognition of the need for parallel concern for children in vulnerable groups such as those with learning difficulties. The present paper outlines the development of a personal safety prevention programme for children with severe learning difficulties. The programme has incorporated work by Tutty (1992, 1994) and others who argue for a more developmental view in designing such programmes. Concepts such as the child's understanding about authority figures and moral development have been integrated into the programme, which utilizes multi-media technology. As this is a computer-based programme, the reason for such a medium rather than previously implemented presentation (e.g. books, film) are discussed. Views of the participants evaluating the implementation of the teaching package are also described. © 1998 John Wiley & Sons, Ltd.     

Heaven or Hubris: Reflections on the New ‘New Poverty Agenda’

A new construction on poverty reduction links the Millennium Development Goals, an international consensus on how to reduce poverty, Poverty Reduction Strategy Papers, a new set of instruments for delivering aid, and, underpinning the others, results–based management. This new construction has undoubted strengths. There are also cross–cutting risks, that targets will oversimplify, citizenship will be neglected, trade–offs and conflicts of interest will be obscured, macro–economic policy will be neglected, social sectors will be emphasised at the expense of growth policies, and commitment to partnership will degrade into a form of covert conditionality. These risks are not immutable. A way forward is proposed, with a list of six principles and a set of Dos and Don’ts.     

The development of emotion regulation in adolescence: What do we know and where to go next?

Emotion regulation is critical for adolescent functioning. Theories on the subject have evolved rapidly in recent years and have led to a more contextualized and dynamic conceptualization of emotion regulation processes. In this paper, based on the distinction between emotion regulation strategies and abilities, we propose future directions for research on emotion regulation development in adolescence. We first present evidence that emotional, cognitive, and social changes that occur in adolescence are central in emotion regulation development. We then review empirical findings on emotion regulation development by tying them to their conceptual foundations. We discuss their limitations and argue that building better conceptual clarity is essential to study emotion regulation. Because current knowledge on recent concepts that emerged in adult-based models remains limited and contested in adolescence, we end this article by discussing new research perspectives to provide a better understanding of the topic. We stress the need for researchers in the field to adopt a more contextualized and person-oriented approach, to combine different time scales and methods, and examine the predictors of emotion regulation as well as its outcomes.     

Scholarly Communication 2.0: Exploring Researchers' Opinions on Web 2.0 for Scientific Knowledge Creation, Evaluation and Dissemination

This paper presents the results of a survey aimed at gauging the potential acceptance of a collaborative and Web 2.0 inspired scholarly communication sector. While this sector has seen the birth of a multitude of innovative initiatives, there is still little empirical evidence of the acceptance of such initiatives by researchers. We received 349 completed questionnaires from researchers of many different disciplines. The results of the survey show that there is a strong positive attitude towards Web 2.0 and open publishing approaches. However, the major challenge still resides in combining free dissemination of results with robust and reliable quality control mechanisms.     

Bayesian kernel projections for classification of high dimensional data

A Bayesian multi-category kernel classification method is proposed. The algorithm performs the classification of the projections of the data to the principal axes of the feature space. The advantage of this approach is that the regression coefficients are identifiable and sparse, leading to large computational savings and improved classification performance. The degree of sparsity is regulated in a novel framework based on Bayesian decision theory. The Gibbs sampler is implemented to find the posterior distributions of the parameters, thus probability distributions of prediction can be obtained for new data points, which gives a more complete picture of classification. The algorithm is aimed at high dimensional data sets where the dimension of measurements exceeds the number of observations. The applications considered in this paper are microarray, image processing and near-infrared spectroscopy data.     

The potential for bias in reporting of industry-sponsored clinical trials

Concerns about potentially misleading reporting of pharmaceutical industry research have surfaced many times. The potential for duality (and thereby conflict) of interest is only too clear when you consider the sums of money required for the discovery, development and commercialization of new medicines. As the ability of major, mid-size and small pharmaceutical companies to innovate has waned, as evidenced by the seemingly relentless decline in the numbers of new medicines approved by Food and Drug Administration and European Medicines Agency year-on-year, not only has the cost per new approved medicine risen: so too has the public and media concern about the extent to which the pharmaceutical industry is open and honest about the efficacy, safety and quality of the drugs we manufacture and sell. In 2005 an Editorial in Journal of the American Medical Association made clear that, so great was their concern about misleading reporting of industry-sponsored studies, henceforth no article would be published that was not also guaranteed by independent statistical analysis. We examine the precursors to this Editorial, as well as its immediate and lasting effects for statisticians, for the manner in which statistical analysis is carried out, and for the industry more generally.