Variation in Valence Intensity Within Frames: Testing Predictions of Prospect Theory and Fuzzy‐Trace Theory

ABSTRACT Risk and decision‐making are central to human behavior and have been extensively studied across many disciplines. To better understand the factors that influence an individual's risk‐related choices, this paper investigates the influence of frame valence intensity. It does so by comparing predictions from two prominent theories of decision‐making: Prospect theory (PT) and fuzzy‐trace theory (FTT). PT relies on the numerical transformation of subjective value information suggesting that the intensity of the frame should not affect the decision outcome. In contrast, FTT predicts that the level of frame valence should correspond to the intensity of the extracted memory trace and have predictable effects on risky choice. The results demonstrate that risky choice varies across different levels of the frame's valence. For positive frames, increasing valence intensity is associated with decreased risk preference. For negative frames, the relationship is more complex and context‐dependent. These findings extend our understanding of framing effects, suggesting that both the direction and intensity of frame valence influence risk preferences. While broadly aligning with FTT predictions regarding gist extraction, our results also indicate that PT could be extended to account for valence intensity effects, potentially bridging these theoretical perspectives.

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Publication Details

Journal
Journal of Behavioral Decision Making
Published
2024-09-30
DOI
https://doi.org/10.1002/bdm.2412
Citations
2
Primary Topic
Forecasting Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.98
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article

Variation in Valence Intensity Within Frames: Testing Predictions of Prospect Theory and Fuzzy‐Trace Theory

Todd McElroy
2 citations
Journal of Behavioral Decision Making
Forecasting Techniques and Applications
0.98
article

Variation in Valence Intensity Within Frames: Testing Predictions of Prospect Theory and Fuzzy‐Trace Theory

Todd McElroy
article en
2 citations

Abstract

ABSTRACT Risk and decision‐making are central to human behavior and have been extensively studied across many disciplines. To better understand the factors that influence an individual's risk‐related choices, this paper investigates the influence of frame valence intensity. It does so by comparing predictions from two prominent theories of decision‐making: Prospect theory (PT) and fuzzy‐trace theory (FTT). PT relies on the numerical transformation of subjective value information suggesting that the intensity of the frame should not affect the decision outcome. In contrast, FTT predicts that the level of frame valence should correspond to the intensity of the extracted memory trace and have predictable effects on risky choice. The results demonstrate that risky choice varies across different levels of the frame's valence. For positive frames, increasing valence intensity is associated with decreased risk preference. For negative frames, the relationship is more complex and context‐dependent. These findings extend our understanding of framing effects, suggesting that both the direction and intensity of frame valence influence risk preferences. While broadly aligning with FTT predictions regarding gist extraction, our results also indicate that PT could be extended to account for valence intensity effects, potentially bridging these theoretical perspectives.

Journal of Behavioral Decision MakingVol. 37(4)
Florida Gulf Coast University (US)
Openalex Percentile: Top 21%
Forecasting Techniques and Applications
0.98
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