The Construct of Grooming in Child Sexual Abuse: Conceptual and Measurement Issues

There have been claims that some child molesters engage in a “seduction stage” prior to committing abuse. These behaviors, commonly known as “grooming,” are understood as methods child molesters use to gain access to and prepare future victims to be compliant with abuse. However, there is a lack of consensus regarding exactly what this process entails and how it is clearly distinguished from normal adult–child interactions. It is important to devise an accurate definition of grooming for scientific, clinical, and forensic purposes. We critically evaluate the various definitions and reveal problematic heterogeneity. Furthermore, there are no methods of known psychometrics to validly assess grooming. We review the empirical literature regarding the occurrence of grooming and propose future directions for research.     

Exploring a family,work, and community model of work–family gains and strains

Much of the work–family literature focuses on job or family characteristics that impact on work–life interaction. A small body of research takes a wider perspective, highlighting the importance of community characteristics. This study builds on, and extends, this research by examining the way work and community characteristics may interact in their influence on work–family interaction. Building on Voydanoff's work, this study examined whether community demands amplified the impact of work demands on work–family conflict, and whether community resources increased the impact of work resources on work–family facilitation. Data were analyzed from the Household, Income and Labour Dynamics in Australia survey, distinguishing between residents of higher or lower socioeconomic status (SES) communities. Work demands (work intensity, hours) demonstrated the strongest relationship with work–family interaction. Autonomy and work hours emerged as particularly important predictors of work–family interaction for those living in lower SES areas. Whereas social support (a community resource) was a particularly strong predictor of work–family interaction for those living in higher SES areas. There was also evidence that community demands (lack of safety) are independently associated with work–family interaction and also amplify the effect of job demands (work intensity) on work–family conflict for residents of lower SES areas.     

Bringing Carl Rogers Back In: Exploring the Power of Positive Regard at Work

We draw on Carl Rogers’ client‐centred therapy theory and the theoretical lens of positive work relationships to explain why and how positive regard can be a powerful source for the development of employees’ sense of vitality, job performance and organizational citizenship behaviours (OCBs). We theorize that when employees experience relationships characterized by a high level of regard with their co‐workers they are likely to develop a sense of vitality, which in turn results in enhanced job performance and OCBs. These relationships are examined in both experimental and field studies. The results of these multiple studies provide general support for the power of positive regard in augmenting a sense of vitality and enhancing both job performance and citizenship behaviours.     

Who counts and who is counted? Conversations around voting,access, and divisions in the disability community

Online voting platforms have been introduced in some locations as the solution to the many barriers to political participation that disabled people continue to face. Reading the experiences of disabled student voters on university campuses alongside broader trends in electoral reform taking place in jurisdictions across Canada allows us to attend to the dangerous ways in which conversations around access have been limited through virtual solutions that encourage the physical absence of disabled voters. This article situates these absences alongside other categories of exclusion – including groups who are formally disenfranchised – and recalls many unstated values that are active in shaping citizenship cultures. Probing online voting through a critical disability angle, we present a critique of techno-fixes that builds upon broader notions of accessibility and inclusion.     

An investigation into the two‐stage meta‐analytic copula modelling approach for evaluating time‐to‐event surrogate endpoints which comprise of one or more events of interest

Clinical trials of experimental treatments must be designed with primary endpoints that directly measure clinical benefit for patients. In many disease areas, the recognised gold standard primary endpoint can take many years to mature, leading to challenges in the conduct and quality of clinical studies. There is increasing interest in using shorter‐term surrogate endpoints as substitutes for costly long‐term clinical trial endpoints; such surrogates need to be selected according to biological plausibility, as well as the ability to reliably predict the unobserved treatment effect on the long‐term endpoint. A number of statistical methods to evaluate this prediction have been proposed; this paper uses a simulation study to explore one such method in the context of time‐to‐event surrogates for a time‐to‐event true endpoint. This two‐stage meta‐analytic copula method has been extensively studied for time‐to‐event surrogate endpoints with one event of interest, but thus far has not been explored for the assessment of surrogates which have multiple events of interest, such as those incorporating information directly from the true clinical endpoint. We assess the sensitivity of the method to various factors including strength of association between endpoints, the quantity of data available, and the effect of censoring. In particular, we consider scenarios where there exist very little data on which to assess surrogacy. Results show that the two‐stage meta‐analytic copula method performs well under certain circumstances and could be considered useful in practice, but demonstrates limitations that may prevent universal use.     

Specification testing in nonparametric AR‐ARCH models

In this paper, an autoregressive time series model with conditional heteroscedasticity is considered, where both conditional mean and conditional variance function are modeled nonparametrically. Tests for the model assumption of independence of innovations from past time series values are suggested. Tests based on weighted L²‐distances of empirical characteristic functions are considered as well as a Cramér–von Mises‐type test. The asymptotic distributions under the null hypothesis of independence are derived, and the consistency against fixed alternatives is shown. A smooth autoregressive residual bootstrap procedure is suggested, and its performance is shown in a simulation study.