A Bayesian hierarchical diffusion model decomposition of performance in Approach–Avoidance Tasks

Common methods for analysing response time (RT) tasks, frequently used across different disciplines of psychology, suffer from a number of limitations such as the failure to directly measure the underlying latent processes of interest and the inability to take into account the uncertainty associated with each individual's point estimate of performance. Here, we discuss a Bayesian hierarchical diffusion model and apply it to RT data. This model allows researchers to decompose performance into meaningful psychological processes and to account optimally for individual differences and commonalities, even with relatively sparse data. We highlight the advantages of the Bayesian hierarchical diffusion model decomposition by applying it to performance on Approach–Avoidance Tasks, widely used in the emotion and psychopathology literature. Model fits for two experimental data-sets demonstrate that the model performs well. The Bayesian hierarchical diffusion model overcomes important limitations of current analysis procedures and provides deeper insight in latent psychological processes of interest.     

The development of bystander intentions and social–moral reasoning about intergroup verbal aggression

A developmental intergroup approach was taken to examine the development of prosocial bystander intentions among children and adolescents. Participants as bystanders (N = 260) aged 8–10 and 13–15 years were presented with scenarios of direct aggression between individuals from different social groups (i.e., intergroup verbal aggression). These situations involved either an ingroup aggressor and an outgroup victim or an outgroup aggressor and an ingroup victim. This study focussed on the role of intergroup factors (group membership, ingroup identification, group norms, and social–moral reasoning) in the development of prosocial bystander intentions. Findings showed that prosocial bystander intentions declined with age. This effect was partially mediated by the ingroup norm to intervene and perceived severity of the verbal aggression. However, a moderated mediation analysis showed that only when the victim was an ingroup member and the aggressor an outgroup member did participants become more likely with age to report prosocial bystander intentions due to increased ingroup identification. Results also showed that younger children focussed on moral concerns and adolescents focussed more on psychological concerns when reasoning about their bystander intention. These novel findings help explain the developmental decline in prosocial bystander intentions from middle childhood into early adolescence when observing direct intergroup aggression.     

Assessing Mathematics Misunderstandings via Bayesian Inverse Planning

Online educational technologies offer opportunities for providing individualized feedback and detailed profiles of students' skills. Yet many technologies for mathematics education assess students based only on the correctness of either their final answers or responses to individual steps. In contrast, examining the choices students make for how to solve the equation and the ways in which they might answer incorrectly offers the opportunity to obtain a more nuanced perspective of their algebra skills. To automatically make sense of step-by-step solutions, we propose a Bayesian inverse planning model for equation solving that computes an assessment of a learner's skills based on her pattern of errors in individual steps and her choices about what sequence of problem-solving steps to take. Bayesian inverse planning builds on existing machine learning tools to create a generative model relating (mis)-understandings to equation solving choices. Two behavioral experiments demonstrate that the model can interpret people's equation solving and that its assessments are consistent with those of experienced teachers. A third experiment uses this model to tailor guidance for learners based on individual differences in misunderstandings, closing the loop between assessing understanding, and using that assessment within an educational technology. Finally, because the bottleneck in applying inverse planning to a new domain is in creating the model of possible student misunderstandings, we show how to combine inverse planning with an existing production rule model to make inferences about student misunderstandings of fraction arithmetic.     

Classifying the variability in impact and active peak vertical ground reaction forces during running using DFA and ARFIMA models

The vertical ground reaction force (VGRF) during rear-foot striking running typically exhibits peaks referred to as the impact peak and the active peak; their timings and magnitudes have been implicated in injury. Identifying the structure of time-series can provide insight into associated control processes. The purpose here was to detect long-range correlations associated with the time from first contact to impact peak (TIP) and active peak (TAP); and the magnitudes of impact (IPM) and active peaks (APM) using a Detrended Fluctuation Analysis, and Auto-Regressive Fractionally Integrated Moving Average models. Twelve subjects performed an 8 min trial at their preferred running speed on an instrumented treadmill. TIP, TAP; IPM, and APM were identified from the VGRF profile for each footfall. TIP and TAP time-series did not demonstrate long-range correlations, conversely IPM and APM time-series did. Short range correlations appeared as well as or instead of long range correlations for IPM. Conversely pure powerlaw behaviour was demonstrated in 11 of the 24 time series for APM, and long range dependencies along with short range correlations were present in a further 9 time series. It has been hypothesised that control mechanisms for IPM and APM are different, these results support this hypothesis.     

Social influences on cognitive processing in enacted social support: effects on receivers’ cognitive appraisals,emotion, and affiliation

Background and objectives. Social support is linked with psychological health, but its mechanisms are unclear. We examined supporters’ influence on recipients’ cognitive processing as a mechanism of effects of support on outcomes associated with depression.

Design/methods. 2?×?2 between-subjects experiment. 147 participants (1) experienced a negative event (false feedback); (2) received social support modeling one of two contrasting cognitive processing modes (abstract/evaluative or concrete/experiential); (3) generated explanations for the event, later coded for processing mode and internal/external causal attribution; and (4) reported on emotion, perceptions of self and future, and social affiliation. To examine relational effects, half of participants were led to perceive the supporter as similar to themselves via a shared birthday manipulation.

Results. Support condition influenced participants’ processing mode and causal attributions as predicted. Abstract/evaluative support led to more positive emotion and self-perceptions, and less pessimistic expectancies for the future than concrete/experiential support. Perceived similarity moderated effects on beliefs about an upcoming social interaction, magnifying positive affiliation outcomes of abstract/evaluative versus concrete/experiential support.

Conclusions. Processing modes that are generally maladaptive at the intrapersonal level may be adaptive (and vice versa) when they are interpersonally influenced, and perceived similarity may facilitate interpersonal effects of processing mode on affiliation.     

反向对抗逻辑范式的创立与证实——人工语法PDP对抗逻辑的改进

人工语法对抗逻辑范式不能排除相似性和辨别力,导致自动反应不纯粹甚至虚假或无法检测到。本研究创立反向对抗逻辑范式,采用单因素(相容/对抗条件)被试间设计:内隐学习阶段将肯定标签与语法A绑定,否定标签与语法B绑定;测量阶段相容条件组对语法A和B做与学习阶段一致的判断,对抗条件组对语法B做与学习阶段对抗的肯定判断。实验证明:(1)外显否定标签可与语法B绑定学习而获得自动化特征,产生内隐联结自动化。(2)内隐否定知识比肯定知识更自动,知识从肯定转为否定易,从否定转为肯定难。(3)反向对抗逻辑范式能有效检测到自动反应,不受语法间形式相似性和辨别力影响。(4)首次析出高概率判断偏向效应,得到纯粹受控反应。     

Prediction of weightlifter’s motor behavior to evaluate snatch weightlifting techniques based on a new method of investigation of consumed energy

Using proper technique in different sports is an inevitable factor. In this study, available techniques for snatch weightlifting are mathematically evaluated. The optimal motion trajectory is a technique used by weightlifters, which could be determined based on minimizing specific object functions. Object functions based on total kinetic energy, total torque and total power and some new multiobjective functions are minimized using genetic algorithm and the minimax principle. Some important motion characteristics of 13 professional weightlifters were extracted and used to validate the mathematical results. The double knee bending (DKB) technique was studied as a benchmark test. Some important movement features of the technique were shown by the mathematical analysis when applying an object function, that minimized joint torques and powers of different muscles independently. An object function based on joint forces did not show these features.     

A gentle reminder that mean does not imply modal behavior: Few are in-group biased in minimal groups

Previous research reports that people organized into newly formed, arbitrary groups (i.e., minimal groups) are on average in-group biased. However, that people on average behave in a certain way does not imply that most people behave that way. Here, I report four studies (n = 224) demonstrating in-group biased average behaviors driven by a minority of about 30% participants. Further, only 14% reported allocating resources in a group-biased manner because they “favored the in-group.” I investigate and discuss how methodological issues related to non-normally distributed data, not taking participants’ intentions into account, and using fixed response matrices can lead to overestimations of how widespread in-group bias is in minimal groups.     

La reprise d’études universitaires : entre continuité et rupture

The presented study pursued the objective to analyze the dialectic break/continuity susceptible to cross the transition of resumption of studies to the university, of the decision-making in the real-life experience of the first one-month of training. For that purpose, two models were summoned, that of motivations Push/Pull, Antipush/Antipull of Mullet, Lunch, Lemaire, Raiff and Barthorpe (2000) and that of the transitional processes proposed by Perret-Clermont and Zittoun (2002), as well as the concept of perceived social support completed of the notion of perceived social brake. The analysis of semi-directive conversations led with 10 adults in resumption of studies in a university of Île-de-France first brought to the foreground four motivational, certain dynamics more marked with the seal of the break (early or consummate), others more registered in a professional continuity (to develop or to install). Then, the analysis identified the most notable upheavals of the experience of the first months of training (identity plan and management of the various spheres of activity). Finally, it appeared that the social supports perceived, although important throughout the transition, vary in nature and function in each of the two periods of transition studied (decision, beginning of training). The results are particularly discussed in terms of Amartya Sen's capability approach.     

Unrealistic representations of “the self”: A cognitive neuroscience assessment of anosognosia for memory deficit

Three cognitive components may play a crucial role in both memory awareness and in anosognosia for memory deficit (AMD): (1) a personal data base (PDB), i.e., a memory store that contains “semantic” representations about the self, (2) monitoring processes (MPs) and (3) an explicit evaluation system (EES), or comparator, that assesses and binds the representations stored in the PDB with information obtained from the environment.We compared both the behavior and the functional connectivity (as assessed by resting-state fMRI) of AMD patients with aware patients and healthy controls. We found that AMD is associated with an impoverished PDB, while MPs are necessary to successfully update the PDB.AMD was associated with reduced functional connectivity within both the default-mode network and in a network that includes the left lateral temporal cortex, the hippocampus and the insula. The reduced connectivity between the hippocampus and the insular cortex was correlated with AMD severity.