Applying theory to the black box: A model for empirically scoring biodata

Despite being an effective predictor of job performance, empirically keyed biodata assessments have been criticized as black box empiricism unlikely to generalize to new contexts. This paper introduces a model that challenges this perspective, explicating how biodata content, job demands, and criterion variables collectively influence the construct validity, and generalizability of empirically scored biodata. Across two field studies, expected changes in scale correlations with external measures were found that coincided with changes in the contextual similarity between calibration and holdout contexts, the criteria used, and the content validity of biodata items. Collectively, this paper offers a framework that helps understand and optimize empirical biodata keying in practice, furthering confidence for their use in applied settings.     

Adding versus averaging: Evaluability theory applied to job choice decisions

While the unique roles of individual job attributes (e.g., salary and benefits) in job and organizational attraction have received extensive research attention, research examining the mechanisms through which an overall evaluation of a job option is made by combining evaluations of individual attributes is scarce. The current study examined the process through which job choice decisions are made under three conditions: when evaluating a single job offer, when comparing two job offers, and when evaluating more than two job offers. In Study 1, it was found that when a single job offer is evaluated, the average of perceived values of attributes in an offer (e.g., the perceived attractiveness of a salary) drives the choice, whereas the difference between jobs is what matters when two jobs are evaluated simultaneously, potentially leading to a preference reversal between conditions when the same two jobs are evaluated. In Study 2, it was found that average values of attributes across options (e.g., average salary in all job offers received) influence job choice when more than two job offers are evaluated simultaneously. These findings indicate that in all three conditions, job choice decisions are influenced by the evaluability of the choice set, which becomes low when a single job offer is evaluated without any context, or when more than two job offers are evaluated simultaneously, and becomes high when two jobs are compared with each other. When evaluability is low, candidates resort to averaging as the decision rule, whereas adding is used when evaluability is high.     

二胎环境下小学高年级“脱独”儿童父母教养方式与同胞关系:心理理论的中介作用

研究采用问卷集体施测,收集了788名小学高年级“脱独”儿童的父母教养方式、同胞关系以及心理理论的状况,探讨小学高年级“脱独”儿童父母教养方式对同胞关系的影响及心理理论作为中介变量的影响。结果表明:心理理论在父母教养方式中的父亲过分干涉、母亲情感温暖理解、母亲惩罚严厉、母亲过分干涉与同胞关系之间起完全中介作用; 心理理论在父亲情感温暖理解、父亲偏爱与同胞关系之间起部分中介作用。研究认为,良好的父母教养方式,有助于个体提高心理理论,并可能在一定程度上改善同胞关系。     

“自爱”指标与维度的初探——《四库全书》中“自爱”的心理学研究

从《四库全书》中检索到1700部涉及“自爱”的古籍,形成包含2370条句段的语料库并逐条进行内容分析。结果发现,自爱包含自我珍重、自我接纳与自我约束三个主要指标以及个我自爱、小我自爱与大我自爱三个主要维度。未来研究将依据我国社会文化和历史的脉络,结合新时代人们对自爱的理解,编制相应的测量工具,从而为健全人格养成服务。     

中文版无手机恐惧量表的修订

该研究以国外学者Caglar Yildirim和Ana-Paula Correia于2015年编制的Nomophobia量表为基础,修订出了适用于国内的中文版无手机恐惧量表。研究首先使用探索性结构方程模型对量表结构进行初探; 其次使用项目反应模型进行项目分析并根据其分析结果对项目进行修改和筛选,最终形成正式版量表; 最后对正式版量表其进行信效度检验,并再次对量表题目进行项目分析。最终量表共16道题目,包括害怕无法获得信息、害怕失去便利、害怕失去联系和害怕失去网络连接4个维度; 总量表的Cronbach α系数为0.931,四维度的α系数分别为:0.789,0.816,0.887和0.896。CFA验证性结果显示量表结构较好(χ2/df=3.91,RMSEA=0.067,TLI=0.941,CFI=0.952,SRMR=0.04); 使用手机成瘾倾向量表作为校标的结果显示二者之间相关为0.626,效度良好。最终量表项目区分度在[1.734,4.806]之间,四维度区分度均值为2.1765,2.72,3.2925和3.883,项目难度参数在[-1.830,4.806]之间。综上结果显示该研究编制的无手机恐惧量表各项指标均达到了心理测量学要求,可供后续研究使用     

Moderating Loss Aversion: Loss Aversion Has Moderators,But Reports of its Death are Greatly Exaggerated

Loss aversion, the principle that losses impact decision making more than equivalent gains, is a fundamental idea in consumer behavior and decision making, though its existence has recently been called into question. Across five unique samples (N_total = 17,720), we tested several moderators of loss aversion, which supported a preference construction account. Across studies, more domain knowledge and experience were associated with lower loss aversion, though people of all knowledge and experience levels were loss averse. Among car buyers, those who knew more about a particular car attribute (e.g., fuel economy) were less loss averse for that attribute but not other attributes (e.g., comfort), consistent with the idea that people with less attribute knowledge are more likely to construct preferences, thereby increasing loss aversion. Additionally, older consumers were more loss averse across different loss aversion measures and studies. We discuss implications for several accounts of loss aversion, including accounts rooted in status quo bias, emotion, or ownership. In addition to discovering loss aversion moderators, we cast doubt on recent claims that loss aversion is a fallacy or is fully explained by status quo bias, risk aversion, or the educated laboratory samples often used to study loss aversion.     

Attachment and resource sharing

In three studies we examined the associations between resource sharing (RS) and attachment, and the enhancement of RS using attachment security primes. In Study 1, we showed that attachment avoidance was negatively associated with RS. We also identified differences and similarities between RS and pro‐sociality. In Studies 2 and 3, we showed that research participants were more likely to share their monetary resources after they were primed with attachment security. Study 3 further revealed that security priming affected mainly people low on state attachment anxiety. Our findings extend previous work on pro‐sociality into the specific realm of RS, provide behavioral evidence, and tie attachment and close relationships in with game theory and research on economic decision making.     

The sociocultural movement in psychology,the role of theories in sociocultural inquiries,and the theory of sociocultural models

This special issue presents the theory of sociocultural models (TSCM) and its applications in diverse areas of psychology, including education, health care, clinical practice, gender relations, and general research. As many theories already exist in the social sciences, some readers may ask: “Why do cross‐cultural, cultural, and indigenous psychologists need another theory?” This question is comprised of two aspects: culture/cultural and theory/theoretical. Therefore, to answer it, it is important to clarify both issues. The first relates to cultural and its relation to psychological. The second, theory, considers its relation to cultural and psychological. These issues have long‐range implications for all culture and psychology disciplines as they pose many questions: What role does culture play in the mental functioning of people? How is culture constituted? Is cultural related to social? Does people’s mental functioning exert reciprocal influences on their cultural and social functioning? While working toward answering these questions, researchers quickly determine that more questions arise: What role should theories play in answering these questions? What constitutes theory in culture and psychology disciplines? How should such a theory (or such theories) address the triad of cultural, social, and mental? Consequently, in an effort to provide an overview of the TSCM and to begin to answer these questions, this introduction consists of two parts. The first part addresses the sociocultural turn in modern psychology; this part discusses its implications for research in culture and psychology disciplines. The second segment examines the topic of the theoretical backgrounds of cultural and cross‐cultural research and connects the philosophical paradigms of interpretivism and realism with the theory of sociocultural models. This introduction concludes with a brief overview of the articles included in this issue.     

The TROCA Project: An autonomous transportation robot controlled by a cognitive architecture

Autonomous mobile robots emerged as an important kind of transportation system in warehouses and factories. In this work, we present the use of MECA cognitive architecture in the development of an artificial mind for an autonomous robot responsible for multiple tasks, including transportation of packages along a factory floor, environment exploration, warehouse inventory, its internal energy management, self-monitoring and dealing with human operators and other robots. The present text provides a detailed specification for the architecture and its software implementation. Future work will present the simulation results under different configurations, together with a detailed analysis of the architecture performance and its generalization for autonomous robot control.     

Achievement motive,autonomous motivation,and attendance at fitness center: A longitudinal prospective study

ObjectivesThe aim of this study was to test whether achievement motive, autonomous forms of exercise motivation (intrinsic motivation, identified regulation), and controlled forms of exercise motivation (introjected regulation, external regulation) would predict gym attendance over 30 consecutive weeks in a sample of new gym members.DesignA longitudinal prospective study with four distinct measurement occasions was employed. Psychological variables and gym attendance were assessed in the first, fourth, 15th, and 30th week after starting the membership.MethodParticipants were 229 new gym members. The implicit achievement motive was measured using the Picture Story Exercise. The explicit achievement motive and exercise motivations were measured with questionnaires. Gym attendance was obtained via self-reports and also recorded electronically. Multilevel growth modeling was used as the main analysis method.ResultsParticipants overestimated their self-reported gym attendance; the overall gap between self-reported and actual attendance was 39%. The achievement motive did not predict participants’ gym attendance over the 30-week period, neither for self-reported nor for actual. The effect of autonomous motivation was mixed. Intrinsic motivation predicted self-reported, but not actual, gym attendance over the 30-week period, whereas the evolution of intrinsic motivation was unrelated to gym attendance. Identified regulation was unrelated to gym attendance, but the increase in identified motivation over time positively predicted both self-reported and actual gym attendance. Controlled motivation was unrelated to gym attendance.ConclusionsContinuous and regular participation in an exercise program is more likely when individuals enjoy the program and consider it personally important.