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Generalization Issues in Conjoint Experiment: Attention and Salience

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  • Jiawei Fu
  • Xiaojun Li

Abstract

Can the causal effects estimated in an experiment be generalized to real-world scenarios? This question lies at the heart of social science studies. External validity primarily assesses whether experimental effects persist across different settings, implicitly presuming the consistency of experimental effects with their real-life counterparts. However, we argue that this presumed consistency may not always hold, especially in experiments involving multi-dimensional decision processes, such as conjoint experiments. We introduce a formal model to elucidate how attention and salience effects lead to three types of inconsistencies between experimental findings and real-world phenomena: amplified effect magnitude, effect sign reversal, and effect importance reversal. We derive testable hypotheses from each theoretical outcome and test these hypotheses using data from various existing conjoint experiments and our own experiments. Drawing on our theoretical framework, we propose several recommendations for experimental design aimed at enhancing the generalizability of survey experiment findings.

Suggested Citation

  • Jiawei Fu & Xiaojun Li, 2024. "Generalization Issues in Conjoint Experiment: Attention and Salience," Papers 2405.06779, arXiv.org, revised Mar 2025.
  • Handle: RePEc:arx:papers:2405.06779
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    References listed on IDEAS

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    1. Barabas, Jason & Jerit, Jennifer, 2010. "Are Survey Experiments Externally Valid?," American Political Science Review, Cambridge University Press, vol. 104(2), pages 226-242, May.
    2. Hainmueller, Jens & Hopkins, Daniel J. & Yamamoto, Teppei, 2014. "Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments," Political Analysis, Cambridge University Press, vol. 22(1), pages 1-30, January.
    3. Bueno De Mesquita, Ethan & Tyson, Scott A., 2020. "The Commensurability Problem: Conceptual Difficulties in Estimating the Effect of Behavior on Behavior," American Political Science Review, Cambridge University Press, vol. 114(2), pages 375-391, May.
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