Is the association between childhood maltreatment and aggressive behavior mediated by hostile attribution bias in women? A discordant twin and sibling study

Understanding the mechanisms behind aggressive behavior (AGG) is vital so that effective prevention and intervention strategies can be developed. Maltreated children are hypothesized to be prone to social information processing biases, such as hostile attribution bias (HAB), which, in turn, may increase the likelihood of behaving aggressively. The first aim of the present study was to replicate findings regarding associations between childhood maltreatment (CM), HAB, and aggression in a population‐based sample of Finnish female twins and their sisters (N = 2,167). However, these associations might not be causal but instead confounded by familial factors, shared between the variables. The second aim was, thus, to test the associations when potential confounding by familial (genetic or common environmental) effects were controlled for using a multilevel discordant twin and sibling design within (a) 379 pairs of twins (n_pairs = 239) or siblings (n_pairs = 140), and (b) within the 131 monozygotic (MZ) twin pairs. Consistent with previous studies, HAB mediated the association between CM and AGG when familial confounding was uncontrolled. No support was found for the mediation when controlling for familial confounding. Between‐pair associations were found between CM and AGG, and between CM and HAB. In addition, within‐pair associations were found between HAB and AGG, and between CM and AGG, however, these were nonsignificant in the discordant MZ analysis, offering the most stringent control of familial confounding. The results indicate the necessity of taking familial confounding into account when investigating the development of AGG.     

手机成瘾与抑郁：社交焦虑和负性情绪信息注意偏向的多重中介作用

为考察手机成瘾与抑郁的关系, 研究同时整合情绪和认知两方面因素, 探讨了社交焦虑和负性情绪信息注意偏向在手机成瘾和抑郁之间的多重中介作用。研究1共有545名大学生完成了大学生手机成瘾倾向量表、贝克抑郁量表和社会交往焦虑量表。研究2选取51名大学生采用问卷法和2(配对面孔表情的情绪类型: 负性、中性) × 2(探测点位置: 与负性情绪面孔表情同侧、与负性情绪面孔表情异侧)的被试内实验设计。结果表明: (1)手机成瘾、社交焦虑和抑郁两两间存在显著正相关, 且社交焦虑在手机成瘾和抑郁之间起完全中介作用; (2)社交焦虑和负性情绪信息注意偏向在手机成瘾与抑郁的关系中起链式中介作用, 而负性情绪信息注意偏向在手机成瘾与抑郁间的单独中介效应不显著。具体而言, 手机成瘾通过两条路径影响抑郁: 一是社交焦虑的单独中介作用; 二是社交焦虑→负性情绪信息注意偏向的链式中介作用。     

A Gibbs sampler for the multidimensional four-parameter logistic item response model via a data augmentation scheme

The four-parameter logistic (4PL) item response model, which includes an upper asymptote for the correct response probability, has drawn increasing interest due to its suitability for many practical scenarios. This paper proposes a new Gibbs sampling algorithm for estimation of the multidimensional 4PL model based on an efficient data augmentation scheme (DAGS). With the introduction of three continuous latent variables, the full conditional distributions are tractable, allowing easy implementation of a Gibbs sampler. Simulation studies are conducted to evaluate the proposed method and several popular alternatives. An empirical data set was analysed using the 4PL model to show its improved performance over the three-parameter and two-parameter logistic models. The proposed estimation scheme is easily accessible to practitioners through the open-source IRTlogit package.     

Maximum information per time unit designs for continuous online item calibration

Previous designs for online calibration have only considered examinees’ responses to items. However, the use of response time, a useful metric that can easily be collected by a computer, has not yet been embedded in calibration designs. In this article we utilize response time to optimize the assignment of new items online, and accordingly propose two new adaptive designs. These are the D-optimal per expectation time unit design (D-ET) and the D-optimal per time unit design (D-T). The former method uses the conditional maximum likelihood estimation (CMLE) method to estimate the expected response times, while the latter employs the nonparametric k-nearest-neighbour method to predict the response times. Simulations were conducted to compare the two new designs with the D-optimal online calibration design (D design) in the context of continuous online calibration. In addition, a preliminary study was carried out to evaluate the performance of CMLE prior to its application in D-ET. The results showed that, compared to the D design, the D-ET and D-T designs saved response time and accrued larger calibration information per time unit, without sacrificing item calibration precision.     

驾驶员选择性注意过程中的规则图式启动效应

本研究将驾驶无意视盲范式与交通违规事件识别任务相结合, 通过两个实验分别探究任务性质(有提示、无提示)和规则图式训练(训练、未训练)对驾驶员识别交通信号和违规事件的影响。结果发现, 交通规则提示能够提高有经验的驾驶员识别交通信号的正确率(实验1); 对于新手驾驶员, 则需要结合规则图式训练才能起到相同效果(实验2)。研究表明驾驶员选择性注意过程中存在规则图式启动效应, 图式训练能够弥补新手驾驶员经验的不足。     

外群体一定贬损吗：来自蒙古族和汉族群体的证据

本研究采用单一复述法考察了我国非冲突性、地位平等的蒙古族和汉族群体,在面对面传递彼此不同效价的民族刻板印象信息时的群体效应。实验1证明了蒙古族和汉族间表现出的并非“外群体贬损”,而是“外群体偏爱”。实验2通过考察人际敏感性和群际态度两个变量验证了蒙汉间外群体偏爱的真实性,但这一效应在群际态度消极的高敏感汉族中表现出了人为增益性;而且发现了蒙汉族际沟通中的不同信息传递模式,蒙古族同时着眼于积极和消极信息,而汉族更偏重于积极信息。由此可知,外群体并不一定引发贬损,群体性质兹事体大。     

Le malade génétique responsable « La loi des suspects »

A patient suffers of a genetical disease. He does not wish to inform his family. Is he responsible for a lost of chances of his parents, chances to prevent the disease, or to receive care? Is there a second class of patients?     

The usefulness of the averaging rule in consumer studies: A partial replication with an eye at neuroeconomics

IntroductionInformation Integration Theory models how different pieces of information are combined by people into unified judgments. Its contribution to decision-making and to consumer studies distinctly relies on a set of empirically established algebraic models for reflecting the cognitive structure of judgments and decisions (cognitive algebra). Among these, the averaging model has particular properties, allowing for operationally distinguishing between the elusive notions of psychological value and importance.ObjectivesThe main goal of the paper is to support the applicability and robustness of the averaging model in consumer studies, by partially replicating a published study that documented averaging. Additionally, it tentatively explores potential contributions of the averaging model to neuroeconomics, by simultaneously recording ratings and electroencephalographic (EEG) responses.MethodsTwenty-five participants rated on a satisfaction scale (format 0-20) a set of experimental conditions arising from the full factorial combination of three levels of sneakers’ branded models and three levels of purchase prices, expanded with conditions in which brands were presented in isolation (sub-design). Simultaneous electrophysiological monitoring was performed with an EEG mask (international system 10-20, referenced to the mastoid apophyses). Segmentation and processing of evoked response potentials were done in Matlab. Both ratings and magnitudes of event-related potentials (ERP) components were analyzed through inspection of the factorial plots with the support of repeated-measures ANOVAs.ResultsThe rating responses revealed an averaging model, with equal weighting in a cluster of subjects and differential weighting in another, but more overall importance of the branded model variable in both cases. The only tentative suggestions of relevant neural correlates involved the LPP and P300 components of the ERP and a reduced number of EEG channels (P4, P3, Fz and T3).ConclusionsThe averaging model is robustly applicable and useful in consumer studies, both for measurement (value and importance) and consumer segmentation (cognitively based clusterization) purposes. While calling attention to the later components of the ERP at specific topographies, the paucity of EEG results suggests that ERP peak amplitude may not be a useful measure for the purpose. Apart from that, a functional measurement approach to neuroeconomics seems feasible in principle and an explorable path in the future.