Publications by authors named "A R Kristal"

Following through on commitments builds trust. However, blind adherence to a prior course of action can undermine key organizational objectives. How can this challenge be resolved? Four primary experiments and five supplemental experiments (collective = 7,759, all preregistered) reveal an effective communication strategy: precommitment (i.

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Objective: The study purpose was twofold: (1) to develop the Children's Amputee Mobility Predictor and establish its content and social validity and (2) to determine its intra and inter-rater reliability.

Design: A reliability and validity study.

Setting: Pediatric rehabilitation hospital.

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Article Synopsis
  • Discrimination in evaluations contributes significantly to social inequality, yet there is limited knowledge about psychological interventions to combat biased assessments.
  • A research contest tested 30 interventions aimed at reducing discrimination based on physical attractiveness, revealing two effective strategies that reduced both decision noise and bias.
  • The findings highlight the need for concrete strategies that focus on relevant criteria in decision-making and emphasize the challenge of developing scalable interventions to effectively change discriminatory behaviors across various contexts.
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Commitment strategies are effective mechanisms individuals can use to overcome self-control problems. Across seven studies (and two supplemental studies), we explore the negative interpersonal consequences of commitment strategy choice and use. In Study 1, using an incentivized trust game, we demonstrate that individuals trust people who choose to use a commitment strategy less than those who choose to use willpower to achieve their goals.

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Technology-assisted dietary assessment has the potential to improve the accuracy of self-reported dietary intake. This study evaluates MealScan3D (MS3D), a mobile device-based food recording system, which uses three-dimensional images to obtain food volumes and an application to capture algorithm-driven food intake data. Participants ( = 179) were randomly assigned and trained to record three meals using either MS3D or a written food record (WFR).

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