RACE/A: an architectural account of the interactions between learning, task control, and retrieval dynamics

This article discusses how sequential sampling models can be integrated in a cognitive architecture. The new theory Retrieval by Accumulating Evidence in an Architecture (RACE/A) combines the level of detail typically provided by sequential sampling models with the level of task complexity typically provided by cognitive architectures. We will use RACE/A to model data from two variants of a picture-word interference task in a psychological refractory period design. These models will demonstrate how RACE/A enables interactions between sequential sampling and long-term declarative learning, and between sequential sampling and task control. In a traditional sequential sampling model, the onset of the process within the task is unclear, as is the number of sampling processes. RACE/A provides a theoretical basis for estimating the onset of sequential sampling processes during task execution and allows for easy modeling of multiple sequential sampling processes within a task.     

Hierarchical models of simple mechanisms underlying confidence in decision making

Choice confidence is a central measure in psychological decision research, often being reported on a probabilistic scale. Simple mechanisms that describe the psychological processes underlying choice confidence, including those based on error and confirmation biases, have typically received support via fits to data averaged over subjects. While averaged data ease model development, they can also destroy important aspects of the confidence data distribution. In this paper, we develop a hierarchical model of raw confidence judgments using the beta distribution, and we implement two simple confidence mechanisms within it. We use Bayesian methods to fit the hierarchical model to data from a two-alternative confidence experiment, and we use a variety of Bayesian tools to diagnose shortcomings of the simple mechanisms that are overlooked when applied to averaged data. Bugs code for estimating the models is also supplied.     

Predicting counterproductive work behavior from the interaction of personality traits

Much attention has been given to enhancing the prediction of counterproductive work behavior (CWB), with a particular focus on the relationship between the five factor model of personality and CWB. Several scholars have advocated for a more complex view of this relationship, and rather than focusing simply on main effects, to examine the interaction of personality traits in predicting employee behavior. In consideration of the traits most strongly related to CWB, we examined the interaction between: (1) conscientiousness and emotional stability, (2) agreeableness and emotional stability, and (3) conscientiousness and agreeableness on CWB directed at individuals (CWB-I) and the organization (CWB-O). Results from a multi-national sample illustrate the interaction of traits increases the prediction of CWB over and above a single trait approach. The interactions suggest employees perform the least CWB when they are high on both traits (in the respective trait pairings), but low levels on either trait relate to increased CWB, and at levels comparable to individuals low on both traits. We conclude research on personality and CWB would benefit from an interactive approach as it allows for greater prediction of CWB-O and CWB-I, which is important in light of the organizational and interpersonal consequences of employee misbehavior.     

Asymptotic Standard Errors of Generalized Partial Credit Model True Score Equating Using Characteristic Curve Methods

In this study, the delta method was applied to estimate the standard errors of the true score equating when using the characteristic curve methods with the generalized partial credit model in test equating under the context of the common-item nonequivalent groups equating design. Simulation studies were further conducted to compare the performance of the delta method with that of the bootstrap method and the multiple imputation method. The results indicated that the standard errors produced by the delta method were very close to the criterion empirical standard errors as well as those yielded by the bootstrap method and the multiple imputation method under all the manipulated conditions.     

Correlates of youth sport attrition: A review and future directions

ObjectivesThis review aims to (a) identify correlates of youth sport attrition, (b) frame correlates within a multilevel model of youth sport participation (i.e., biological, intra-personal, inter-personal, institutional, community, and policy levels), and (c) assess the level of evidence for each correlate.DesignReview paper.MethodsSystematic review method.ResultsEntering relevant search terms into PubMed, PsycINFO, SPORTDiscus and Web of Knowledge databases identified 23 articles with a total of 8345 participants. Satisfactory articles largely examined sport-specific attrition and sampled youth from western countries (e.g., Canada, France, Spain, United States). Of the 141 correlates examined, most were framed at the intrapersonal (90) and inter-personal levels (43). The level of evidence for each correlate (i.e., high, low, insufficient) was systematically assessed based on the quantity and quality of supporting articles. In total, 11 correlates were categorized as having a high quality level of evidence and 10 as having a low quality. High quality correlates included, among others, age, autonomy, perceived competence, relatedness, and task climate.ConclusionsOverall, established correlates of youth sport attrition are largely social in nature. Future directions surrounding (a) the need to examine correlates at lower (i.e., biological level) and higher (i.e., institutional, community, policy) analytic levels, (b) to sample participants from more culturally diverse societies and (c) to examine sport-general attrition are offered.     

亲环境行为影响因素的系统整合模型及启示

近10年来,对亲环境行为前因变量的研究逐渐从行为主体的个体内部因素转向行为相关的社会外部因素。本文对影响亲环境行为的个体、群体以及社会层面的相关变量之间的影响机制进行了系统的梳理,在此基础上提出包含微观(个体内部因素)、中观及宏观(外部情境因素)不同层次的前因变量,并对亲环境意愿与行为加以区分的系统整合模型。根据该模型的理论框架,指出未来对亲环境行为研究的具体方向及对我国环保工作的启示。     

Acceptance by athletes of a virtual reality head-mounted display intended to enhance sport performance

While a growing number of studies have highlighted the potential of virtual reality (VR) to improve athletes’ skills, no research has yet focused on acceptance of a VR head-mounted display (VR-HMD) designed to increase sport performance. However, even if technological devices could potentially lead to performance improvement, athletes may not always accept them. To investigate this issue, the Technology Acceptance Model (TAM) examines if perceived usefulness, perceived ease of use, perceived enjoyment, and subjective norms (i.e., social influence) are positive predictors of intention to use a specific technology. The aims of the present study were to test with competitive athletes the validity of the TAM before a first use of a VR-HMD intended to enhance sport performance and to examine to what extent the level of practice and the type of sport practiced have an influence on the previous variables of the TAM. The study sample comprised 1162 French athletes (472 women, 690 men, M_age = 24.50 ± 8.51 years) who usually practiced a sport in competition (from recreational to international level). After reading a short text presenting the VR-HMD and its interests for sport performance, the participants filled out an online questionnaire assessing their acceptance of this technological device before a first use. The results of the structural equation modeling analysis revealed that perceived usefulness, perceived ease of use, perceived enjoyment, and subjective norms were positive predictors of intention to use this VR-HMD, validating the suitability of the TAM for investigating the acceptance by athletes of a VR-HMD designed to increase their sport performance. The results also showed that athletes of all sport levels (a) had a significant intention to use VR, (b) found it quite useful (except for recreational athletes), quite easy to use, and quite pleasant to use, even if their entourage would not encourage them to use it (except for international athletes), and (c) found the VR-HMD easy and pleasant to use whatever the sport practiced. Notably some athletes (e.g., triathletes, swimmers, cyclists) did not find the VR-HMD significantly useful and did not have significant intention to use it to increase their performance. Identifying acceptance by athletes of such a device may increase the likelihood that it will be used by athletes of different levels and from different sports, so that they can benefit from all its advantages related to the improvement of their sport performance. Needs-based targeted interventions may also be conducted toward athletes who might be reluctant to integrate this type of device into their training.