Hierarchical Approximate Bayesian Computation

Approximate Bayesian computation (ABC) is a powerful technique for estimating the posterior distribution of a model’s parameters. It is especially important when the model to be fit has no explicit likelihood function, which happens for computational (or simulation-based) models such as those that are popular in cognitive neuroscience and other areas in psychology. However, ABC is usually applied only to models with few parameters. Extending ABC to hierarchical models has been difficult because high-dimensional hierarchical models add computational complexity that conventional ABC cannot accommodate. In this paper, we summarize some current approaches for performing hierarchical ABC and introduce a new algorithm called Gibbs ABC. This new algorithm incorporates well-known Bayesian techniques to improve the accuracy and efficiency of the ABC approach for estimation of hierarchical models. We then use the Gibbs ABC algorithm to estimate the parameters of two models of signal detection, one with and one without a tractable likelihood function.     

Lower back pain in nurses working in home care: linked to work–family conflict,emotional dissonance,and appreciation?

In industrial countries home care services for elderly people living in the community are growing rapidly. Home care nursing is intensive and the nurses often suffer from musculoskeletal pain. Time pressure and job control are job-related factors linked to the risk of experiencing lower back pain (LBP) and LBP-related work impairment. This survey investigated whether work-family conflict (WFC), emotional dissonance and being appreciated at work have incremental predictive value. Responses were obtained from 125 home care nurses (63% response rate). Multiple linear regression showed that emotional dissonance and being appreciated at work predicted LBP intensity and LBP-related disability independently of time pressure and job control. WFC was not a predictor of LBP-related disability in multiple regression analyses despite a zero-order correlation with it. Redesigning the working pattern of home care nurses to reduce the emotional demands and improve appreciation of their work might reduce the incidence of LBP in this group.     

Giving Voice to Patients: Developing a Discussion Method to Involve Patients in Translational Research

Biomedical research policy in recent years has often tried to make such research more ‘translational’, aiming to facilitate the transfer of insights from research and development (R&D) to health care for the benefit of future users. Involving patients in deliberations about and design of biomedical research may increase the quality of R&D and of resulting innovations and thus contribute to translation. However, patient involvement in biomedical research is not an easy feat. This paper discusses the development of a method for involving patients in (translational) biomedical research aiming to address its main challenges.After reviewing the potential challenges of patient involvement, we formulate three requirements for any method to meaningfully involve patients in (translational) biomedical research. It should enable patients (1) to put forward their experiential knowledge, (2) to develop a rich view of what an envisioned innovation might look like and do, and (3) to connect their experiential knowledge with the envisioned innovation. We then describe how we developed the card-based discussion method ‘Voice of patients’, and discuss to what extent the method, when used in four focus groups, satisfied these requirements. We conclude that the method is quite successful in mobilising patients’ experiential knowledge, in stimulating their imaginaries of the innovation under discussion and to some extent also in connecting these two. More work is needed to translate patients’ considerations into recommendations relevant to researchers’ activities. It also seems wise to broaden the audience for patients’ considerations to other actors working on a specific innovation.     

Low Working Memory rather than ADHD Symptoms Predicts Poor Academic Achievement in School-Aged Children

This study examined whether working memory (WM), inattentive symptoms, and/or hyperactive/impulsive symptoms significantly contributed to academic, behavioral, and global functioning in 8-year-old children. One-hundred-sixty 8-year-old children (75.6% male), who were originally recruited as preschoolers, completed subtests from the Wechsler Intelligence Scale for Children–Fourth Edition, Integrated and Wechsler Individual Achievement Test–Second Edition to assess WM and academic achievement, respectively. Teachers rated children’s academic and behavioral functioning using the Vanderbilt Rating Scale. Global functioning, as rated by clinicians, was assessed by the Children’s Global Assessment Scale. Multiple linear regressions were completed to determine the extent to which WM (auditory-verbal and visual-spatial) and/or inattentive and hyperactive/impulsive symptom severity significantly contributed to academic, behavioral, and/or global functioning. Both auditory-verbal and visual-spatial WM but not ADHD symptom severity, significantly and independently contributed to measures of academic achievement (all p < 0.01). In contrast, both WM and inattention symptoms (p < 0.01), but not hyperactivity-impulsivity (p > 0.05) significantly contributed to teacher-ratings of academic functioning. Further, inattention and hyperactivity/impulsivity (p < 0.04), but not WM (p > 0.10) were significantly associated with teacher-ratings of behavioral functioning and clinician-ratings of global functioning. Taken together, it appears that WM in children may be uniquely related to academic skills, but not necessarily to overall behavioral functioning.     

The impact of implicitly and explicitly primed ingroup–outgroup categorization on the evaluation of others pain: The case of the Jewish–Arab conflict

Despite the automaticity of affective sharing, many studies have documented the role of top-down effects, such as social categorization, on people’s empathic responses. An important question, largely ignored in previous research, concerns empathy to ingroup and outgroup members’ pain in the contexts of ongoing intergroup conflict. In the present study we examined how implicit and explicit ethnic social categorization of others affects empathy to pain in the context of the Israeli–Palestinian conflict. To meet this aim, we assessed the evaluation of pain by Jewish and Arab participants who viewed a series of visual stimuli depicting painful and non-painful familiar situations. The stimuli were associated with explicitly or implicitly primed typical names depicting ingroup, neutral outgroup, and adversary outgroup members. Results demonstrate that pain ratings in the explicit priming condition provide support for the ingroup empathy hypothesis, positing that empathy is higher for ingroup than for outgroup members for both Jews and Palestinian Arabs. Conversely, when the targets’ categories are primed implicitly, results revealed difference in empathy by the two ethnic groups where an ingroup bias was detected only for Palestinian Arabs. This suggests that the activation of ingroup bias on the subliminal implicit level among Palestinian Arab participants might be mediated by the amount of conflict permeating in their daily lives and by deeply rooted cultural values and behavioural patterns.