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Luigi A. E. Degni; Sara Garofalo; Gianluca Finotti; Francesca Starita; Trevor W. Robbins; Giuseppe di Pellegrino – npj Science of Learning, 2024
Motivational (i.e., appetitive or aversive) cues can bias value-based decisions by affecting either direction and intensity of instrumental actions. Despite several findings describing important interindividual differences in these biases, whether biological sex can also play a role is still up to debate. By comparing females and males in both…
Descriptors: Gender Differences, Motivation, Cues, Decision Making
Martins, Ana P. G.; Köbrich, Moritz V.; Carstengerdes, Nils; Biella, Marcus – Applied Cognitive Psychology, 2023
The objective of the present study was to examine if the Outcome Bias also occurs in pilots flying under instrument flight rules (IFR). In a scenario-based survey, 60 pilots evaluated weather-related decisions made by hypothetical pilots. Participants rated the decisions as better, less risky, and regarded the probability that they would have made…
Descriptors: Bias, Air Transportation, Flight Training, Simulation
Travis J. Bristol; Makaela E. Jones; James Noonan – American Journal of Education, 2024
Purpose: As senior district leaders in US public schools make public statements about the importance of teachers of color for all students, their inaction in designing policies to recruit these educators can undermine diversity progress. This study explores the mixed messaging around one small urban district's effort to increase the ethnoracial…
Descriptors: Teacher Selection, Minority Group Teachers, Diversity (Faculty), Selection Criteria
Perrotta, Carlo – Learning, Media and Technology, 2023
This article proposes a pragmatic approach to data justice in education that draws upon Nancy Fraser's theory. The main argument is premised on the theoretical and practical superiority of a deontological framework for addressing algorithmic bias and harms, compared to ethical guidelines. The purpose of a deontological framework is to enable the…
Descriptors: Data, Justice, Algorithms, Bias
Timothy J. Wood; Vijay J. Daniels; Debra Pugh; Claire Touchie; Samantha Halman; Susan Humphrey-Murto – Advances in Health Sciences Education, 2024
First impressions can influence rater-based judgments but their contribution to rater bias is unclear. Research suggests raters can overcome first impressions in experimental exam contexts with explicit first impressions, but these findings may not generalize to a workplace context with implicit first impressions. The study had two aims. First, to…
Descriptors: Evaluators, Work Environment, Decision Making, Video Technology
Francisca Beroíza-Valenzuela – International Journal of STEM Education, 2025
Background: Closing the gender gap in science, technology, engineering, and mathematics (STEM) disciplines is essential for achieving social equity and advancing innovation and socioeconomic development, as outlined in the Agenda 2030 for Sustainable Development. Despite notable progress, persistent stereotypes continue to restrict women's…
Descriptors: Association Measures, STEM Education, Sex Stereotypes, Bias
Mandeep K. Dhami; Ian K. Belton; Peter De Werd; Velichka Hadzhieva; Lars Wicke – Cognitive Research: Principles and Implications, 2024
We empirically examined the effectiveness of how the Analysis of Competing Hypotheses (ACH) technique structures task information to help reduce confirmation bias (Study 1) and the portrayal of intelligence analysts as suffering from such bias (Study 2). Study 1 (N = 161) showed that individuals presented with hypotheses in rows and evidence items…
Descriptors: Task Analysis, Decision Making, Credibility, Cognitive Processes
Bobrovitz, Niklas; Noël, Kim; Li, Zihan; Cao, Christian; Deveaux, Gabriel; Selemon, Anabel; Clifton, David A.; Yanes-Lane, Mercedes; Yan, Tingting; Arora, Rahul K. – Research Synthesis Methods, 2023
Risk of bias (RoB) assessments are a core element of evidence synthesis but can be time consuming and subjective. We aimed to develop a decision rule-based algorithm for RoB assessment of seroprevalence studies. We developed the SeroTracker-RoB algorithm. The algorithm derives seven objective and two subjective critical appraisal items from the…
Descriptors: Decision Making, Algorithms, Risk, Bias
Madu, Sadie A. – ProQuest LLC, 2023
Discipline disparities are driven by classroom teachers' decisions to refer a student for disciplinary action "and" by school administrators' decisions in response to those referrals (Amos, 2021). In this qualitative study, the researcher will explore educators' perceptions on the disparity in discipline referrals and evaluate…
Descriptors: Discipline, Bias, Referral, Grade 9
Transparency Improves the Accuracy of Automation Use, but Automation Confidence Information Does Not
Monica Tatasciore; Luke Strickland; Shayne Loft – Cognitive Research: Principles and Implications, 2024
Increased automation transparency can improve the accuracy of automation use but can lead to increased bias towards agreeing with advice. Information about the automation's confidence in its advice may also increase the predictability of automation errors. We examined the effects of providing automation transparency, automation confidence…
Descriptors: Automation, Access to Information, Information Technology, Bias
Youmi Suk; Kyung T. Han – Journal of Educational and Behavioral Statistics, 2024
As algorithmic decision making is increasingly deployed in every walk of life, many researchers have raised concerns about fairness-related bias from such algorithms. But there is little research on harnessing psychometric methods to uncover potential discriminatory bias inside decision-making algorithms. The main goal of this article is to…
Descriptors: Psychometrics, Ethics, Decision Making, Algorithms
Michelle M. Haby; Jorge Otávio Maia Barreto; Jenny Yeon Hee Kim; Sasha Peiris; Cristián Mansilla; Marcela Torres; Diego Emmanuel Guerrero-Magaña; Ludovic Reveiz – Research Synthesis Methods, 2024
Rapid review methodology aims to facilitate faster conduct of systematic reviews to meet the needs of the decision-maker, while also maintaining quality and credibility. This systematic review aimed to determine the impact of different methodological shortcuts for undertaking rapid reviews on the risk of bias (RoB) of the results of the review.…
Descriptors: Decision Making, Medical Research, Research Reports, Search Strategies
Gilhooly, Ken J.; Sleeman, Derek H. – Applied Cognitive Psychology, 2022
Inconsistency in real-world judgments can cause random unfairness, injustice and misallocation of resources. In their recent monograph Kahneman, Sibony, and Sunstein (2021) analyse judgment inconsistency or "Noise," examine its sources and propose remedies. In this commentary on Kahneman et al., we reflect on the major concepts (such as…
Descriptors: Decision Making, Bias, Error Patterns, Thinking Skills
Camilleri, Adrian R.; Sah, Sunita – Applied Cognitive Psychology, 2021
The status quo bias (SQB) is the tendency to prefer the current state of affairs. We investigated if experts (physicians) fall prey to the SQB when making decisions in their area of expertise and, if so, whether the SQB is reduced or amplified for experts compared to non-experts. We presented 302 physicians and 733 members of the general…
Descriptors: Bias, Physicians, Decision Making, Medical Services
Alyssa Frey Orlando – ProQuest LLC, 2024
Existing literature finds that holistic admission practices may result in biased decision-making at the undergraduate and doctoral level. This decision-making may happen during the application review or policymaking process. Few studies directly examine master's admission processes as a unique entity. Additionally, researchers have not yet…
Descriptors: Decision Making, Bias, Holistic Approach, Graduate Study