scholarly journals Framing Effects and Fuzzy Traces: ‘Some’ Observations

Author(s):  
Sarah A. Fisher

AbstractFraming effects occur when people respond differently to the same information, just because it is conveyed in different words. For example, in the classic ‘Disease Problem’ introduced by Amos Tversky and Daniel Kahneman, people’s choices between alternative interventions depend on whether these are described positively, in terms of the number of people who will be saved, or negatively in terms of the corresponding number who will die. In this paper, I discuss an account of framing effects based on ‘fuzzy-trace theory’. The central claim of this account is that people represent the numbers in framing problems in a ‘gist-like’ way, as ‘some’; and that this creates a categorical contrast between ‘some’ people being saved (or dying) and ‘no’ people being saved (or dying). I argue that fuzzy-trace theory’s gist-like representation, ‘some’, must have the semantics of ‘some and possibly all’, not ‘some but not all’. I show how this commits fuzzy-trace theory to a modest version of a rival ‘lower bounding hypothesis’, according to which lower-bounded interpretations of quantities contribute to framing effects by rendering the alternative descriptions extensionally inequivalent. As a result, fuzzy-trace theory is incoherent as it stands. Making sense of it requires dropping, or refining, the claim that decision-makers perceive alternatively framed options as extensionally equivalent; and the related claim that framing effects are irrational. I end by suggesting that, whereas the modest lower bounding hypothesis is well supported, there is currently less evidence for the core element of the fuzzy trace account.

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 557-557
Author(s):  
Julia Nolte ◽  
Corinna Loeckenhoff ◽  
Valerie Reyna

Abstract It is well-established that pre-decisional information seeking decreases with age (Mata & Nunes, 2010). However, it is still unknown whether age differences in information acquisition are influenced by the type of information provided. Fuzzy-trace theory suggests that decision makers prefer gist-based over verbatim-based processing, and that this preference increases across the lifespan. Therefore, we hypothesized that age differences arise when presenting participants with verbatim details (such as exact numbers) but not gist information (such as ”extremely poor” or “good”). In a lab-based experiment, 68 younger adults and 66 older adults completed a gist-based and a verbatim-based search task before making health insurance choices. Younger and older adults reviewed similar amounts of information in either condition. In line with Fuzzy-trace theory, however, older adults sought more information when presented with gist rather than verbatim information. The role of age-associated covariates and implications for decision-making will be discussed.


Decision ◽  
2018 ◽  
Vol 5 (4) ◽  
pp. 205-252 ◽  
Author(s):  
David A. Broniatowski ◽  
Valerie F. Reyna

1994 ◽  
Vol 5 (5) ◽  
pp. 275-279 ◽  
Author(s):  
Valerie F Reyna ◽  
Susan C Ellis

Traditional theories of cognitive development predict that children progress from intuitive to computational thinking, whereas fuzzy-trace theory makes the opposite prediction To evaluate these alternatives, framing problems were administered to preschoolers, second graders, and fifth graders Consistent with fuzzy-trace theory, results indicated (a) that younger children focused on quantitative differences between outcomes and did not exhibit framing effects (risk avoidance for gains, risk seeking for losses) and (b) that older children assimilated these quantitative differences and displayed framing effects


2020 ◽  
Vol 43 ◽  
Author(s):  
Valerie F. Reyna ◽  
David A. Broniatowski

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.


2014 ◽  
Author(s):  
Christopher Wolfe ◽  
Valerie Reyna ◽  
Priscila G. Brust-Renck ◽  
Colin L. Widmer ◽  
Elizabeth M. Cedillos ◽  
...  

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