Do People Order Cues by Retrieval Fluency when Making Probabilistic Inferences?

In multiple‐cue probabilistic inferences, people infer alternatives' unknown values on decision criteria, using alternatives' attributes as cues. Some inferential strategies, like take‐the‐best, assume that people consider relevant cues sequentially in order of decreasing validity. This assumption has been deemed cognitively implausible by some, who suggest memory retrieval principles to guide cue order. We test whether memory‐based inferences are better described by a model considering cues in order of validity or in order of memory retrieval. In an experiment, we manipulated the frequency with which cues appeared in a learning phase, increasing retrieval fluency of cue values related to the more frequently appearing cue. In a subsequent decision phase, participants made a series of two‐alternative decisions based on the learned cue values. We compared two sequential sampling models, which differed in whether cues are sampled in order of subjective cue validity or in order of retrieval fluency. To model retrieval order of cues in the fluency sampling model, we used the declarative memory theory embedded in the ACT‐R cognitive architecture. Most participants' decisions were best described by the model sampling cues in order of memory retrieval. Only a minority of participants were classified as sampling cues by validity. Our result suggests that retrieval fluency is the primary driver of cue order in inferences from memory, irrespective of the cues' validities. Copyright © 2017 John Wiley & Sons, Ltd.     

Implicit racial bias and epistemic pessimism

Implicit bias results from living in a society structured by race. Tamar Gendler has drawn attention to several epistemic costs of implicit bias and concludes that paying some costs is unavoidable. In this paper, we reconstruct Gendler’s argument and argue that the epistemic costs she highlights can be avoided. Though epistemic agents encode discriminatory information from the environment, not all encoded information is activated. Agents can construct local epistemic environments that do not activate biasing representations, effectively avoiding the consequences of activation. We conclude that changing our local environments provides a way to avoid paying implicit bias’s epistemic costs.     

The use of moral dilemmas for teaching agricultural engineers

Agricultural engineers’ jobs are especially related to sustainability and earth life issues. They usually work with plants or animals, and the aim of their work is often linked to producing food to allow people to improve their quality of life. Taking into account this dual function, the moral requirements of their day-to-day professional practice are arguably greater than those of other professions. Agricultural engineers can develop their ability to live up to this professional responsibility by receiving ethical training during their university studies, not only by taking courses specifically devoted to ethics, but also by having to deal with moral questions that are integrated into their technical courses through a program of Ethics Across the Curriculum (EAC). The authors feel that a suitable pedagogical technique for achieving this goal is the use of moral dilemmas, following Kohlberg’s theory of levels of morality (1981), with the final objective of attaining a post-conventional level. This paper examines the possibilities and limitations of using moral dilemmas as a pedagogical technique for training agricultural engineers. The cases, discussions, and evaluation used in the Agricultural Engineering Department of the Technical University of Valencia (Spain) are also presented. An earlier version of this paper was presented at the 2005 conference, Ethics and Social Responsibility in Engineering and Technology, Linking Workplace Ethics and Education, co-hosted by Gonzaga University and Loyola Marymount University, Los Angeles, CA, USA, 9–10 June 2005.     

Cumulative impact neglect in processing sequential changes

We demonstrate that decision contexts that involve sequential numerical changes over time can lead to suboptimal consumer choices in both incentivized and hypothetical studies. This is because, for such changes, an earlier outcome has a cumulative effect on the final total, which consumers tend to ignore. We document the prevalence of consumers' tendency to neglect this cumulative impact when processing sequential rent increases and price discounts as consumers focus on the naïve totals and trends formed by the consecutive price changes and choose economically inferior options. We propose a nudge that helps alert consumers about the cumulative effects and decrease their tendency to fall prey to this bias. We discuss the theoretical contributions as well as the implications for consumers, managers, and policymakers.     

反事实思维对行人交通安全行为意向的影响

反事实思维是对过去发生事情进行否定而产生的假设性思维表征,对行为改变和绩效改善有显著影响。因此,作为一种重要的认知策略,反事实思维常常被用于行为干预的研究。本研究采用单因素(反事实启动/经验启动)被试间实验设计,以4种常见的行人不安全行为为实验材料,运用顺序启动范式的语义启动分别激活自变量的两个水平,将遵守交通规则行为意向的评分和反应时双变量作为因变量指标,探索反事实思维对行人安全行为的促进作用。结果表明:与基线水平和经验启动相比,反事实启动诱导产生的行人交通安全行为意向更加积极,并且产生的自动化水平更高。文章最后讨论了研究的理论意义和对安全管理实践的启发。     

The Campbell Paradigm as a Conceptual Alternative to the Expectation of Hypocrisy in Contemporary Attitude Research

Hypocrisy—professing a general attitude without implementing corresponding attitude-relevant behavior—is, according to Ajzen and Fishbein (2005), commonly found in attitude research that aims to explain individual behavior. We conducted two studies that adopted the Campbell paradigm, an alternative to the traditional understanding of attitudes. In a laboratory experiment, we found that specific attitude-relevant cooperation in a social dilemma was a function of people’s pre-existing general environmental attitude. In a quasi-experiment, we corroborated the reverse as well; engagement in attitude-relevant dietary practices was indicative of environmental attitude. When using Campbellian attitude measures, there is no room for hypocrisy: People put their general attitudes into specific attitude-relevant practices, and differences in people’s general attitudes can be derived from their attitude-relevant behavior.     

Priming Effects on Cooperative Behavior in Social Dilemmas: Considering the Prime and the Person

We test whether people with a relatively more intrinsic vs. extrinsic value orientation (RIEVO) are particularly likely to enact cooperative behavior in resource dilemmas when they are primed with relatedness goals. In Study 1, high RIEVO participants primed with relatedness exhibited more restrained fishing behavior in a resource dilemma than their unprimed counterparts or participants low in RIEVO. Study 2 replicated this effect and further showed that the prime must signal the possibility of satisfying a valued goal (relatedness satisfaction) in order to elicit the value-consistent behavior. We discuss these results in the context of recent process models of goal priming, and also discuss how these findings contribute to our understanding of cooperative behavior and the predictive power of value constructs more broadly.     

Sequential detection of learning in cognitive diagnosis

In order to look more closely at the many particular skills examinees utilize to answer items, cognitive diagnosis models have received much attention, and perhaps are preferable to item response models that ordinarily involve just one or a few broadly defined skills, when the objective is to hasten learning. If these fine‐grained skills can be identified, a sharpened focus on learning and remediation can be achieved. The focus here is on how to detect when learning has taken place for a particular attribute and efficiently guide a student through a sequence of items to ultimately attain mastery of all attributes while administering as few items as possible. This can be seen as a problem in sequential change‐point detection for which there is a long history and a well‐developed literature. Though some ad hoc rules for determining learning may be used, such as stopping after M consecutive items have been successfully answered, more efficient methods that are optimal under various conditions are available. The CUSUM, Shiryaev–Roberts and Shiryaev procedures can dramatically reduce the time required to detect learning while maintaining rigorous Type I error control, and they are studied in this context through simulation. Future directions for modelling and detection of learning are discussed.     

Flexible and unique representations of two-digit decimals

We examined the representation of two-digit decimals through studying distance and compatibility effects in magnitude comparison tasks in four experiments. Using number pairs with different leftmost digits, we found both the second digit distance effect and compatibility effect with two-digit integers but only the second digit distance effect with two-digit pure decimals. This suggests that both integers and pure decimals are processed in a compositional manner. In contrast, neither the second digit distance effect nor the compatibility effect was observed in two-digit mixed decimals, thereby showing no evidence for compositional processing of two-digit mixed decimals. However, when the relevance of the rightmost digit processing was increased by adding some decimals pairs with the same leftmost digits, both pure and mixed decimals produced the compatibility effect. Overall, results suggest that the processing of decimals is flexible and depends on the relevance of unique digit positions. This processing mode is different from integer analysis in that two-digit mixed decimals demonstrate parallel compositional processing only when the rightmost digit is relevant. Findings suggest that people probably do not represent decimals by simply ignoring the decimal point and converting them to natural numbers.