Quitters would not prosper: Examining the relationship between online assessment performance and assessment attrition behavior

Hiring managers are often hesitant to implement online assessments over concerns that higher‐quality candidates are more likely to quit lengthy assessment batteries than lower‐quality candidates. In this paper, we present the results of two studies that collectively challenge this assumption. In Study 1, data from 327,517 job‐seekers spanning eight hiring contexts showed that assessment performance was negatively associated with subsequent assessment attrition behavior. In Study 2, we replicated this pattern of effects in two additional samples comprising 1,844,604 applicants for hourly associate positions, and 18,937 applicants for nursing positions. Collectively, these findings suggest that some degree of attrition may ultimately benefit, rather than harm, organizations using prehire assessments.     

Active or Inert? An Experimental Comparison of Creative Ideation across Incubation Periods

The primary objective of this study was to contribute to the growing research discipline investigating the effects of physical exercise on divergent thinking creativity performance. Thirty‐two students participated in this two‐visit, within‐subject intervention. Individuals consented to participate in two randomized, and counterbalanced, experimental conditions, consisting of 15 min of active treadmill walking and an inert, seated control incubation period. Creativity was assessed at baseline and post‐exercise (and control) via the Instances Creativity Task (ICT). Creativity scores for changes in fluency (F(1, 31) = 2.90, p = .10) were not statistically significant across the experimental conditions. Originality scores were higher at baseline and follow‐up when compared to the exercise condition (F(1, 31) = 6.82, p = .01). However, there was no statistically significant condition × time interaction effect (F(1, 31) = 1.78, p = .19). Further analyses demonstrated that there was no statistically significant difference between the experimental conditions on recall score (F(1, 31) = 1.04, p = .32). All models indicated statistically significant main effects for time: fluency (F(1, 31) = 131.17, p < .001); originality (F(1, 31) = 36.54, p < .001); and recall (F(1, 31) = 51.75, p < .001). These findings suggest that both active and inert creative incubation periods may similarly enhance subsequent divergent thinking performance.     

What could be My Next Job? Using Flat Information Structures to Generate Creative Future Career Ideas

In a dynamic labor market, it is important to help people combine information and generate creative solutions to cope with complex career challenges. In the present research, we apply the theory of information structure to creative career idea generation and hypothesize that flat information structures—that is, structures in which the information is disorganized—are more conducive to creativity than hierarchical information structures—that is, structures in which information is organized in higher‐order categories. In two experimental studies, participants had to combine career information related to self and work preferences that was presented either in flat or hierarchical structures. We found that flat information structures, compared with hierarchical information structures, led to future career ideas that were more creative on average. Our results suggest that cognitive flexibility explains the effect of information structure on the creativity of career ideas. Theoretical implications and suggestions for career management practices are discussed.     

Computer‐based training to teach observers to accurately score problem behavior using fast forwarding at 5x normal speed

The current study evaluated whether a computer‐based training program could improve observers' accuracy in scoring discrete instances of problem behavior at 5x normal speed using a multiple‐baseline design across subjects. During pretraining and posttraining, observers attempted to score multiple examples of problem behavior at 5.0x without feedback. During training, participants scored multiple examples of problem behavior at 5.0x with automated feedback. Researchers measured omission (missing problem behavior) and commission (scoring other behavior as problem behavior) errors and the total duration of scoring time to determine the observers' accuracy and efficiency, respectively. After training, all participants scored instances of problem behavior with less than 11% error using 5.0x. The time required to score the videos across 90‐min observations was reduced by 66%. Results extend previous evaluations of fast forwarding by demonstrating that the training program could be used to teach observers to accurately score problem behavior using a speed faster than 3.5x.     

忘我问卷的编制及其信效度检验

通过文献分析和访谈,阐明忘我的概念与结构,并编制了忘我问卷。采用现场发放和网络问卷的方式对607名被试进行忘我问卷的初测。接着,对357名被试施测正式问卷,进行信度、效度检验。探索性因素分析显示,忘我问卷由3个因子构成; 验证性因素分析表明该量表拟合良好(RMSEA=0.07,NFI=0.95,CFI=0.95,GFI=0.92,AGFI=0.89)。问卷总体一致性系数为0.89,3个因子的内部一致性系数在0.84-0.88之间。问卷总体得分与效标问卷特质焦虑得分呈负相关(-0.51),与安适幸福感、正念觉知的得分呈正相关(分别为0.36、0.31)。忘我问卷具有良好的信度和效度,可在后续的相关研究和实践中作为测量问卷或评估工具使用。     

Pre‐registration: Why and How

In this article, we (1) discuss the reasons why pre‐registration is a good idea, both for the field and individual researchers, (2) respond to arguments against pre‐registration, (3) describe how to best write and review a pre‐registration, and (4) comment on pre‐registration’s rapidly accelerating popularity. Along the way, we describe the (big) problem that pre‐registration can solve (i.e., false positives caused by p‐hacking), while also offering viable solutions to the problems that pre‐registration cannot solve (e.g., hidden confounds or fraud). Pre‐registration does not guarantee that every published finding will be true, but without it you can safely bet that many more will be false. It is time for our field to embrace pre‐registration, while taking steps to ensure that it is done right.     

Theory and Effects in Consumer Psychology

Drawing on Calder, Brendl, Tybout, and Sternthal’s (2021) discussion of constructs and variables, I suggest that the verification approach’s focus on variables fosters a plethora of disconnected “effects” and a dearth of integrative theorizing in consumer behavior research. I discuss how publication practices and incentive structures are likely to contribute to these phenomena.     

Computational models of the “active self” and its disturbances in schizophrenia

The notion that self-disorders are at the root of the emergence of schizophrenia rather than a symptom of the disease, is getting more traction in the cognitive sciences. This is in line with philosophical approaches that consider an enactive self, constituted through action and interaction with the environment. We thereby analyze different definitions of the self and evaluate various computational theories lending to these ideas. Bayesian and predictive processing are promising approaches for computational modeling of the “active self”. We evaluate their implementation and challenges in computational psychiatry and cognitive developmental robotics. We describe how and why embodied robotic systems provide a valuable tool in psychiatry to assess, validate, and simulate mechanisms of self-disorders. Specifically, mechanisms involving sensorimotor learning, prediction, and self-other distinction, can be assessed with artificial agents. This link can provide essential insights to the formation of the self and new avenues in the treatment of psychiatric disorders.     

Comparing computer‐based training and lecture formats to teach visual analysis of baseline‐treatment graphs

Accurate analysis of data is vital to the validation of interventions. As such, there has been a recent increase in studies evaluating visual analysis training procedures. However, past investigations have not evaluated direct and indirect visual analysis training methods with matched instructional content that was systematically designed. Furthermore, training has rarely included assessment of generalization and maintenance of visual analysis skills. The purpose of the current dissertation study was to compare the effectiveness and efficiency of (a) computer‐based training, (b) lecture formats with and (c) without the opportunity to pause, and (d) a no‐training group to teach visual analysis of AB graphs to university students. To make these formats directly comparable, the instructional content was equated by ensuring information and examples were identical across the three training procedures. Eighty‐three students were randomly assigned to one of the four groups. Results showed that all three training formats produced increases in accurate responding compared to the no‐training group. Visual analysis skills generalized to novel graphs and maintained approximately 2 weeks following all trainings. These results suggest that structured approaches that are carefully designed to train visual analysis are effective and lead to gains that generalize and maintain in the absence of training.