PALEY'S iPOD: THE COGNITIVE BASIS OF THE DESIGN ARGUMENT WITHIN NATURAL THEOLOGY

The argument from design stands as one of the most intuitively compelling arguments for the existence of a divine Creator. Yet, for many scientists and philosophers, Hume's critique and Darwin's theory of natural selection have definitely undermined the idea that we can draw any analogy from design in artifacts to design in nature. Here, we examine empirical studies from developmental and experimental psychology to investigate the cognitive basis of the design argument. From this it becomes clear that humans spontaneously discern purpose in nature. When constructed theologically and philosophically correctly, the design argument is not presented as conclusive evidence for God's existence but rather as an abductive, probabilistic argument. We examine the cognitive basis of probabilistic judgments in relationship to natural theology. Placing emphasis on how people assess improbable events, we clarify the intuitive appeal of Paley's watch analogy. We conclude that the reason why some scientists find the design argument compelling and others do not lies not in any intrinsic differences in assessing design in nature but rather in the prior probability they place on complexity being produced by chance events or by a Creator. This difference provides atheists and theists with a rational basis for disagreement.     

Holistic face processing is penetrable … depending on the composite design

Holistic processing (HP) of faces is usually measured by the composite effect. While Weston and Perfect [2005. Effects of processing bias on the recognition of composite face halves. Psychonomic Bulletin & Review, 12, 1038–1042. doi:10.3758/BF03206440] found that priming at the local level speeded recognition of components of faces, Gao et al. [2011. Priming global and local processing of composite faces: Revisiting the processing-bias effect on face perception. Attention Perception & Psychophysics, 73, 1477–1486. doi:10.3758/s13414-011-0109-7] found that only global priming had an effect on HP of faces. The two studies used different versions of the composite task (the partial design, which is considered to be prone on bias, and the complete design). However, the two studies also differed in other respects and it is difficult to know to what extent issues with the partial design contributed to the differing conclusions. In the present study, the HP indexed by the complete design measure was augmented by global priming. In contrast, no effect was observed in the partial design index. We claim that the partial design index reflects other factors besides HP, including response bias, and conclude that HP can be understood within the context of domain-general attentional processes.     

Estimating Complex Measurement and Growth Models Using the R Package PLmixed

Measurement models, such as factor analysis and item response theory models, are commonly implemented within educational, psychological, and behavioral science research to mitigate the negative effects of measurement error. These models can be formulated as an extension of generalized linear mixed models within a unifying framework that encompasses various kinds of multilevel models and longitudinal models, such as partially nonlinear latent growth models. We introduce the R package PLmixed, which implements profile maximum likelihood estimation to estimate complex measurement and growth models that can be formulated within the general modeling framework using the existing R package lme4 and function optim. We demonstrate the use of PLmixed through two examples before concluding with a brief overview of other possible models.     

Quasi‐Experimental Single‐Subject Design: Comparing Seeking Safety and Canine‐Assisted Therapy Interventions Among Mentally Ill Female Inmates

This repeated measures quasi‐experimental study evaluated the effectiveness of 2 interventions, Seeking Safety and canine‐assisted therapy, with female prisoners with trauma histories on a mental health unit. Results indicate both are effective at reducing anxiety, depression, and posttraumatic stress disorder.     

Association between the arginine vasopressin receptor 1A (AVPR1A) gene and preschoolers’ executive functioning

Recent evidence implicates the arginine vasopressin (AVP) system in complex neuropsychological disorders which are characterized by deficits in executive functioning (EF). Despite the genetic contribution to EF, little is currently known about its molecular genetic basis. Drawing on research from social neuroscience and the role of related physiological systems in psychopathology, the current study hypothesized that variability in the AVP receptor 1a gene (AVPR1A) would be associated with EF in an epidemiological sample of 323 normally developing preschool-aged children. Using a family-based association design, the current study found that variability in the rs7298346 marker, located in the 5′-flanking region, was significantly related to a composite measure of EF in 4-year-old children after controlling for a variety of covariates and children’s theory of mind. The converse association between AVPR1A and theory of mind (after controlling for EF) was not significant, suggesting a level of specificity in this relationship. The results are discussed in terms of the difficulties faced by genetic association studies in teasing apart the behavioral phenotypes that characterize complex psychological diseases and the involvement of multiple physiological systems in human behavior.     

A framework for designing socially assistive robot interactions

Robots are increasingly tested in different socially assistive scenarios. Future applications range from dieting, coaching, tutoring to autism therapy. In such applications the success of the system is commonly evaluated by the ability to encourage the user to keep up with a task. Hence, one important requirement for supportive systems is to have an interactional motivational model that formalizes the way how users can be assisted. In this paper we describe our framework for coordinating motivational interaction scenarios with socially assistive robots (SAR) in the context of sport assistance. We exemplify three different sport scenarios where we have used the same motivational interaction model. Furthermore, we show how this model can be used to systematically test the different aspects of motivation in the context of SAR in sport domains. Therefore, we have conducted an experiment to evaluate the importance of acknowledgement from SAR for human interaction partners. The results show that users exercise longer if acknowledgment is included into the motivational model.     

Clinical supervision in cognitive behavior therapy improves therapists’ competence: a single-case experimental pilot study

ABSTRACT

Clinical supervision is a cornerstone in psychotherapists’ training but there are few empirical evaluations on the effects of supervision on therapists’ competencies. The aim of this study was therefore to evaluate the effects of standardized supervision on rater-assessed competency in Cognitive Behavior Therapy (CBT). Six therapists with basic training in CBT were provided with protocol-based clinical supervision in CBT in a single-case experimental multiple baseline design. The supervision focused on specific CBT competencies and used experiential learning methods such as role-play. Each therapist recorded weekly treatment sessions during phases without and with supervision. The therapists’ CBT competence was assessed by third-party raters using the Revised Cognitive Therapy Scale (CTS-R). Statistical analyses showed that the therapists’ CTS-R scores increased significantly during the phase with supervision with a mean item increase of M = 0.71 (range = 0.50–1.0) on the supervision focus areas. This is one of the first empirical studies that can confirm that supervision affect CBT competencies. The results also suggest that supervision can be manualized and that supervisees have a positive perception of more active training methods. Further studies are needed to replicate the results and to find ways to improve the impact of supervision.     

元认知监测与算术知识制约小学儿童心算策略运用能力的发展:一年纵向考察

为探究元认知监测与算术知识对儿童心算策略运用能力的影响如何随个体发展而变化，采用计算机任务与纸笔测量的方法，对85名小学三、五年级儿童进行了历时一年的纵向追踪研究。研究发现：（1）两组儿童的元认知监测和算术知识均呈增长趋势，算术知识的增长速度五年级显著快于三年级，且元认知监测增长速度与算术知识增长速度显著相关；（2）两组儿童中，元认知监测与算术知识增长速度更快的个体策略执行反应时与错误率的减少速度也更快；（3）五年级儿童的算术知识在元认知监测影响策略选择发展中起着完全中介作用。