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.     

面孔线索对4~6岁幼儿真人与卡通面孔记忆的影响

对真人面孔与卡通面孔记忆线索的比较研究,有助于深入认识儿童的面孔认知机制。采用“学习-再认”范式,以内部线索面孔、外部线索面孔和完整面孔为刺激材料,探究面孔线索对4~6岁幼儿真人与卡通面孔记忆的影响。结果发现：（1）女童对真人面孔的记忆显著优于卡通;（2）对卡通面孔的记忆,男童显著优于女童;（3）对真人面孔：完整面孔记忆显著优于内部线索面孔与外部线索面孔;对卡通面孔：外部线索面孔记忆最佳,其次完整面孔,内部线索面孔最低;（4）幼儿对外部与内部线索面孔的记忆能力随年龄逐步提高,6岁显著优于4岁。综上,幼儿对真人面孔与卡通面孔的记忆模式存在差异;且面孔类别、性别、面孔线索与年龄等因素均影响幼儿的面孔记忆。     

激活水平和呈现方式对错误记忆的影响

随机抽取80名大学生参与实验,采用DRM(Deese-Roediger-Mcdermott)范式,探讨了激活水平和呈现方式对错误记忆的影响。结果发现:(1)在随机呈现条件下,关键诱饵的错误再认率显著低于分组呈现条件,但学过项目的正确再认率在两种条件下无差异。(2)在高激活水平条件下,学过项目的正确再认率明显低于低激活水平条件,但关键诱饵的错误再认率在两种激活条件下的差异不够明显。这表明,呈现方式对关键诱饵的错误再认率有显著影响,而激活水平的影响则不显著。由此可知,人们的记忆可以在没有任何外界信息干扰的情况下因内在联想过程而自发地发生改变。     

自然数码奇象记忆法记忆复杂数字的神经机制

本研究采用学习-再认范式和复杂数字记忆材料,考察自然数码奇象记忆法相对于机械记忆法在记忆提取上的优势及神经机制。行为结果表明,自然数码奇象记忆法比机械记忆法的再认准确率更高。事件相关电位分析结果显示,再认提取阶段奇象记忆条件下诱发的N400和N700波幅显著更低,这说明奇象记忆提取更容易。在自然数码奇象记忆条件下,正确再认旧数字诱发的前额区、左顶枕叶区及中顶枕叶区N700成分与使用自然数码奇象记忆有关。本研究表明,采用自然数码奇象记忆可以减少或跨越语义加工,从而提高个体对材料的记忆效率。     

Looking at remembering: Eye movements,pupil size,and autobiographical memory

To examine the relationship between visual imagery and autobiographical memory, eye position and pupil size were recorded while participants first searched for memories and then reconstructed the retrieved memories (Experiment 1), or only searched for memories (Experiment 2). In Experiment 1, we observed that, although recollective experience was not associated with the number of fixations per minute, memories that took longer to retrieve were linked to increased pupil size. In Experiment 2, we observed that directly retrieved memories were recalled more quickly and were accompanied by smaller pupils than generatively retrieved memories. After correcting for response time, retrieval mode also produced an effect, showing that decreased pupil size is not simply due to directly retrieved memories being recalled more quickly. These findings provide compelling evidence that objective measures, such as pupil size, can be used alongside subjective measures, such as self-reports, to distinguish between directly retrieved and generatively retrieved memories.     

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.     

Elucidating the mental processes underlying the direct retrieval of autobiographical memories

The literature on autobiographical memory retrieval has directed much attention to the concepts of direct retrieval (fast, automatic retrieval) and generative retrieval (slower, deliberative/strategic retrieval). Among the many findings reported on these phenomena, their relative prevalence has stood out as a central feature in many studies, with most studies reporting the frequency of direct retrieval as equal to or exceeding generative retrieval. In this study, we used the retrieve-aloud procedure (a method where participants verbalize their thoughts while retrieving) to delve more deeply into the nature of reports of ubiquitous direct retrieval. We hypothesized that much of the direct retrieval reported in literature is not bona fide direct retrieval (i.e., seemingly automatic retrieval), but is a combination of other retrieval processes, including generative-like retrieval processes. Our results supported this view, showing that less than one-half of all of the observed direct retrievals were bona fide direct retrieval, while the rest were a form of generative retrieval, or fell somewhere in between direct and generative retrieval. We argue that the results suggest that the prevalence of direct retrieval may be overestimated in the literature, and we further propose an alternative classification schema for direct retrievals.