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The Intricate Nature of Evaluability: How Attribute Framing, Magnitude, and Reference Point Moderate Calibration and Bias

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Journal of Behavioral Decision Making

Published online on

Abstract

["Journal of Behavioral Decision Making, Volume 39, Issue 2, April 2026. ", "\nABSTRACT\nThis research examines how evaluability is influenced by the interplay of attribute framing, magnitude information, and reference points. In two experiments, participants evaluated scenarios varying in framing valence (positive vs. negative), magnitude polarity, and the availability of a base‐rate reference point. The results indicated that framing valence systematically biased evaluations regardless of reference‐point availability and magnitude polarity. However, the availability of a reference point improved calibration, revealing higher sensitivity of evaluations to magnitude information. Experiment 2 extended these findings by manipulating reference‐point value. The results demonstrated that evaluations are highly sensitive to the relative value of magnitudes compared with the reference point, yet absolute magnitude made an additional contribution. These findings are consistent with fuzzy‐trace theory, insofar as they align with its dual‐route framework, and may be interpreted as compatible with the idea that evaluability is associated with dual cognitive routes: gist‐based processes may contribute to susceptibility to framing bias, whereas verbatim‐based processes may support magnitude sensitivity and improve calibration. Importantly, the present research did not directly test fuzzy‐trace theory against alternative accounts; therefore, it cannot determine whether fuzzy‐trace theory uniquely explains the observed findings or whether other accounts could explain them. The research highlights the intricate nature of evaluability by demonstrating that providing reference‐point information can enhance magnitude sensitivity without mitigating framing bias. Practical implications for information presentation are discussed, and future directions are outlined for promoting theoretical understanding of evaluability mechanisms.\n"]