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Daniel Bartels

Daniel Bartels

· Robert S. Hamada Professor of Marketing

University of Chicago · Marketing

Active 2004–2026

h-index30
Citations4.6k
Papers11720 last 5y
Funding

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Daniel M. Bartels is an Associate Professor at the University of Chicago, specializing in judgment and decision making, consumer behavior, moral psychology, and concepts and categories. His research focuses on understanding how individuals make decisions, how they perceive themselves and others, and how these perceptions influence their behavior.

Research topics

  • Computer Science
  • Social psychology
  • Economics
  • Psychology
  • Mathematics
  • Data science
  • Cognitive psychology
  • Artificial Intelligence
  • Statistics
  • Political Science

Selected publications

  • Crowdsourcing hypothesis tests: Making transparent how design choices shape research results.

    Psychological Bulletin · 2020 · 180 citations

    To what extent are research results influenced by subjective decisions that scientists make as they design studies? Fifteen research teams independently designed studies to answer five original research questions related to moral judgments, negotiations, and implicit cognition. Participants from 2 separate large samples (total N > 15,000) were then randomly assigned to complete 1 version of each study. Effect sizes varied dramatically across different sets of materials designed to test the same…

  • Consumers Object to Algorithms Making Morally Relevant Tradeoffs Because of Algorithms’ Consequentialist Decision Strategies

    Journal of Consumer Psychology · 2021 · 91 citations

    Senior authorCorresponding

    Why do consumers embrace some algorithms and find others objectionable? The moral relevance of the domain in which an algorithm operates plays a role. The authors find that consumers believe that algorithms are more likely to use maximization (i.e., attempting to maximize some measured outcome) as a decision‐making strategy than human decision makers (Study 1). Consumers find this consequentialist decision strategy to be objectionable in morally relevant tradeoffs and disapprove of algorithms ma…

  • The More You Ask, the Less You Get: When Additional Questions Hurt External Validity

    Journal of Marketing Research · 2021 · 28 citations

    Senior authorCorresponding

    Researchers and practitioners in marketing, economics, and public policy often use preference elicitation tasks to forecast real-world behaviors. These tasks typically ask a series of similarly structured questions. The authors posit that every time a respondent answers an additional elicitation question, two things happen: (1) they provide information about some parameter(s) of interest, such as their time preference or the partworth for a product attribute, and (2) the respondent increasingly…

  • A Primer for Evaluating Large Language Models in Social-Science Research

    Advances in Methods and Practices in Psychological Science · 2025-04-01 · 20 citations

    articleOpen access

    Autoregressive large language models (LLMs) exhibit remarkable conversational and reasoning abilities and exceptional flexibility across a wide range of tasks. Subsequently, LLMs are being increasingly used in scientific research to analyze data, generate synthetic data, or even write scientific articles. This trend necessitates that authors follow best practices for conducting and reporting LLM research and that journal reviewers can evaluate the quality of works that use LLMs. We provide autho…

  • A timeline of cognitive costs in decision-making

    Trends in Cognitive Sciences · 2025-05-19 · 10 citations

    review

Frequent coauthors

  • Eric J. Johnson

    Columbia University

    40 shared
  • Ye Li

    40 shared
  • Antonia Krefeld-Schwalb

    Erasmus University Rotterdam

    38 shared
  • Olivier Toubia

    Columbia University

    37 shared
  • Daniel Wall

    California University of Pennsylvania

    37 shared
  • Oleg Urminsky

    University of Chicago

    29 shared
  • Nicholas Reinholtz

    University of Colorado Boulder

    13 shared
  • Justin F. Landy

    Nova Southeastern University

    11 shared

Education

  • Ph.D., Cognitive Psychology

    Northwestern University

    2007
  • M.S., Cognitive Psychology

    Northwestern University

    2002
  • B.S., Psychology

    University of Wisconsin-Green Bay

    2001

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