Abortion and Health Care Chaplaincy in Australia

This paper summarizes the results gained from quantitative and qualitative research involving 327 Australian health care chaplains with regard to their involvement in abortion issues within the health care context. The findings indicate that approximately 20% of surveyed chaplains had provided some form of pastoral intervention to patients and/or their families dealing with issues of abortion and that approximately 10% of chaplains had assisted clinical staff with issues concerning abortion. There was found to be no-statistically significant difference with regard to the number of catholic chaplains compared with protestant chaplains or staff chaplains compared with volunteer chaplains involved in abortion issues. Analysis using the WHO Pastoral Intervention codings highlighted a variety of issues encountered by chaplains and the non-judgmental pastoral care used by chaplains when assisting those dealing with abortion. Some implications of this study with respect to patient and clinical staff support are suggested. Dr. Lindsay Carey, M.App.Sc., Ph.D.: National Research Fellow, Australian Health & Welfare Chaplains Association & Faculty Associate, Palliative Care, School of Public Health, La Trobe University, Melbourne, Australia. Dr. Christopher Newell, AM, Ph.D.: Associate Professor, School of Medicine, University of Tasmania, Hobart, Australia.     

Missing the target: A reply to Koehler & Macchi (2009)

Koehler and Macchi 2009 criticize the experiments presented in Newell, Mitchell, and Hayes 2008 as being “virtually irrelevant” to exemplar cuing theory. This reply addresses that interpretation and argues that the experiments dealt with issues at the heart of the theory and provided evidence highly relevant to understand how people think about low‐probability events. The role of the ‘target’ in probabilistic statements is examined, highlighting the need for further theoretical and empirical clarification of the concept. The remaining specific criticisms raised in the commentary are discussed as well. Copyright © 2009 John Wiley & Sons, Ltd.     

Think, blink or sleep on it? The impact of modes of thought on complex decision making

This paper examines controversial claims about the merit of "unconscious thought" for making complex decisions. In four experiments, participants were presented with complex decisions and were asked to choose the best option immediately, after a period of conscious deliberation, or after a period of distraction (said to encourage "unconscious thought processes"). In all experiments the majority of participants chose the option predicted by their own subjective attribute weighting scores, regardless of the mode of thought employed. There was little evidence for the superiority of choices made "unconsciously", but some evidence that conscious deliberation can lead to better choices. The final experiment suggested that the task is best conceptualized as one involving "online judgement" rather than one in which decisions are made after periods of deliberation or distraction. The results suggest that we should be cautious in accepting the advice to "stop thinking" about complex decisions.     

Gender Differences in Healthcare Utilization: The Mediating Effect of Utilization Propensity

To evaluate the mediating effect of utilization propensity (UP) on gender differences in healthcare utilization (HCU), a representative sample of the German general population (N = 2,510) was assessed with questionnaires. Gender differences in HCU, UP, and the mediating effect of UP were investigated using regression analyses. UP was significantly associated with HCU. The explanatory power of gender for UP, and of UP for HCU was prevailingly weak. UP had a mediating effect on gender differences in HCU, but the effect was very small. This is partly attributable to common problems in the prediction of behavior by attitudes and the operationalization of UP.     

Is strong reciprocity really strong in the lab, let alone in the real world?

We argue that standard experiments supporting the existence of "strong reciprocity" do not represent many cooperative situations outside the laboratory. More representative experiments that incorporate "earned" rather than "windfall" wealth also do not provide evidence for the impact of strong reciprocity on cooperation in contemporary real-life situations or in evolutionary history, supporting the main conclusions of the target article.     

Working memory does not dissociate between different perceptual categorization tasks

Working memory is crucial for many higher level cognitive functions, ranging from mental arithmetic to reasoning and problem solving. Likewise, the ability to learn and categorize novel concepts forms an indispensable part of human cognition. However, very little is known about the relationship between working memory and categorization. This article reports 2 studies that related people's working memory capacity (WMC) to their learning performance on multiple rule-based and information-integration perceptual categorization tasks. In both studies, structural equation modeling revealed a strong relationship between WMC and category learning irrespective of the requirement to integrate information across multiple perceptual dimensions. WMC was also uniformly related to people's ability to focus on the most task-appropriate strategy, regardless of whether or not that strategy involved information integration. Contrary to the predictions of the multiple systems view of categorization, working memory thus appears to underpin performance in both major classes of perceptual category-learning tasks.     

Force and Timing Variability in Rhythmic Unimanual Tapping

In 3 experiments the interdependencies between timing and force production in unimanual paced and self-paced rhythmic tapping tasks were examined as participants (N = 6 in each experiment) tapped (a) to 1 of 3 target periods (333 ms, 500 ms, and 1,000 ms), while they simultaneously produced a constant peak force (PF) over a 50-s trial; (b) to produce 1 of 3 target forces (5, 10, and 15 N) at their preferred frequency, while keeping their rhythm as invariant as possible; and (c) to all combinations of target force and period. The results showed that (a) magnitudes of force and period were largely independent; (b) variability in timing increased proportionally with tapping period, and the variability in force increased with peak force; (c) force variability decreased at faster tapping rates; and (d) timing variability decreased with increasing force levels, (e) Analysis of tap-to-tap variability revealed adjustments over sequences of taps and an acceleration in the tapping rate in unpaced conditions. The interdependencies of force and time are discussed with respect to the challenges they provide for an oscillator-based account.     

Motor Learning through Induced Variability at the Task Goal and Execution Redundancy Levels

The authors examined the influence of introducing variability at two different levels in the learning of a striking task. Variability at the task goal level was introduced by changing target location, whereas variability at the execution redundancy level was introduced by using an intermediate target that constrained participants to use different paths from trial to trial to strike the same target. After practice, participants were transferred to 2 test conditions: (a) a fixed-target test, where the position of the target was unchanged; and (b) a variable-target test, where the position of the target was varied from trial to trial. The results from the manipulation at the task goal level were consistent with predictions from the specificity of practice hypothesis. In both the fixed- and variable-target tests, the best performance was achieved by the group that had practiced in the condition matching the test condition. At the execution-redundancy level, practicing multiple solutions to achieve the task goal did not improve performance in either the fixed- or variable-target tests. These results show that introducing variability at the task goal and execution redundancy levels has different effects on learning and generalization and that practice schedules that constrain the participant to use redundant solutions may not facilitate learning.     

Motor Learning Without Knowledge of Results Through the Development of a Response Recognition Mechanism

Four experiments were conducted to investigate the ability of a response recognition mechanism, developed by presenting the sensory consequences associated with the criterion movement in the absence of actual movement recall, to produce motor learning in the absence of knowledge of results (KR). In Experiments 1 and 2, a rapid linear timing task was used (10.16 cm in 100 msec), and reduction of movement error resulted over no-KR practice trials. Experiments 3 and 4 employed a slow movement-time task (750 and 1250 msec) and a linear positioning task, respectively, and no reduction of movement error occurred over the no-KR practice trials in either experiment. The ability of the response recognition mechanism to produce motor learning in the absence of KR depended upon the extent to which feedback could be used during response production.     

State-trace analysis can be an appropriate tool for assessing the number of cognitive systems: A reply to Ashby (2014)

Ashby (2014) has argued that state-trace analysis (STA) is not an appropriate tool for assessing the number of cognitive systems, because it fails in its primary goal of distinguishing single-parameter and multiple-parameter models. We show that this is based on a misunderstanding of the logic of STA, which depends solely on nearly universal assumptions about psychological measurement and clearly supersedes inferences based on functional dissociation and the analysis of interactions in analyses of variance. We demonstrate that STA can be used to draw inferences concerning the number of latent variables mediating the effects of a set of independent variables on a set of dependent variables. We suggest that STA is an appropriate tool to use when making arguments about the number of cognitive systems that must be posited to explain behavior. However, no statistical or inferential procedure is able to provide definitive answers to questions about the number of cognitive systems, simply because the concept of a “system” is not defined in an appropriate way.