Single-Stage Prediction Models Do Not Explain the Magnitude of Syntactic Disambiguation Difficulty

The disambiguation of a syntactically ambiguous sentence in favor of a less preferred parse can lead to slower reading at the disambiguation point. This phenomenon, referred to as a garden-path effect, has motivated models in which readers initially maintain only a subset of the possible parses of the sentence, and subsequently require time-consuming reanalysis to reconstruct a discarded parse. A more recent proposal argues that the garden-path effect can be reduced to surprisal arising in a fully parallel parser: words consistent with the initially dispreferred but ultimately correct parse are simply less predictable than those consistent with the incorrect parse. Since predictability has pervasive effects in reading far beyond garden-path sentences, this account, which dispenses with reanalysis mechanisms, is more parsimonious. Crucially, it predicts a linear effect of surprisal: the garden-path effect is expected to be proportional to the difference in word surprisal between the ultimately correct and ultimately incorrect interpretations. To test this prediction, we used recurrent neural network language models to estimate word-by-word surprisal for three temporarily ambiguous constructions. We then estimated the slowdown attributed to each bit of surprisal from human self-paced reading times, and used that quantity to predict syntactic disambiguation difficulty. Surprisal successfully predicted the existence of garden-path effects, but drastically underpredicted their magnitude, and failed to predict their relative severity across constructions. We conclude that a full explanation of syntactic disambiguation difficulty may require recovery mechanisms beyond predictability.     

CHRISTIANITY,SCIENCE, AND THREE PHASES OF BEING HUMAN

The alleged conflict between religion and science most pointedly focuses on what it is to be human. Western philosophical thought regarding this has progressed through three broad stages: mind/body dualism, Neo‐Darwinism, and most recently strong artificial intelligence (AI). I trace these views with respect to their relation to Christian views of humans, suggesting that while the first two might be compatible with Christian thought, strong AI presents serious challenges to a Christian understanding of personhood, including our freedom to choose, moral choice itself, self‐consciousness, and the relevance of God to our beginning, being, and ending.     

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.     

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.