The iterative reprocessing model: A multilevel framework for attitudes and evaluation
Abstract
Dual–process models of attitudes highlight the fact that evaluative processes are complex and multifaceted. Nevertheless, many of these models typically neglect important interactions among processes that can contribute to an evaluation. In this article, we propose a multilevel model informed by neuroscience in which current evaluations are constructed from relatively stable attitude representations through the iterative reprocessing of information. Whereas initial iterations provide relatively quick and dirty evaluations, additional iterations accompanied by reflective processes yield more nuanced evaluations and allow for phenomena such as ambivalence. Importantly, this model predicts that the processes underlying relatively automatic evaluations continue to be engaged across multiple iterations, and that they influence andare influenced by more reflective processes. We describe the Iterative Reprocessing Model at the computational, algorithmic, and implementational levels of analysis (Marr, 1982) to more fully characterize its premises and predictions.
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The MMT proposes that linkages between mindfulness and reappraisal emerge at multiple levels of temporal resolution.
“The MMT proposes that linkages between mindfulness and reappraisal emerge at multiple levels of temporal resolution, in keeping with iterative process models of emotional experience [85] and extended process models of emotion regulation [86].”
From Testing the mindfulness-to-meaning theory: Evidence for mindful positive emotion regulation from a reanalysis of longitudinal data (2017) · cites this paper as [85]
Many physiological measures capture responses much faster than traditional self-report measures, so discrepancies between physiological and self-report measures may be driven by differences in the time window of measured responses rather than lack of awareness.
“many physiological measures capture responses to stimuli that are much faster than responses on traditional self-report measures (e.g., event-related potentials). In these cases, discrepancies be- tween physiological and self-report measures may be driven by differences in the time window of the measured responses rather than lack of awareness (Cunningham et al. 2007,Moors 2016).”
From Unawareness of Attitudes, Their Environmental Causes, and Their Behavioral Effects (2025) · cites this paper as Cunningham et al. 2007
Responses on many indirect measures such as the IAT and EPT are much faster than responses on direct measures, so discrepancies between the two kinds of measures may be driven by differences in the time window of measured responses rather than lack of awareness.
“responses on many indirect mea- sures (e.g., IAT, EPT) are much faster than responses on direct measures. Hence, discrepancies between the two kinds of measures may be driven by differences in the time window of the mea- sured responses rather than lack of awareness (Cunningham et al. 2007, Ranganath et al. 2008).”
From Unawareness of Attitudes, Their Environmental Causes, and Their Behavioral Effects (2025) · cites this paper as Cunningham et al. 2007
Many actions can be evaluated according to moral considerations.
“we propose that many actions can be evaluated according to moral considerations [28].”
From The Importance of Moral Construal: Moral versus Non-Moral Construal Elicits Faster, More Extreme, Universal Evaluations of the Same Actions (2012) · cites this paper as [28]
Highly moralized actions (like murder) are chronically and reflexively processed as moral and are therefore commonly evaluated in moral terms.
“Although it is likely the case that highly moralized actions (like murder) are chronically and reflexively processed as moral (i.e., the representations rapidly stabilize in a way that reflects the moral construal) and are therefore commonly evaluated in moral terms, we propose that many actions can be evaluated according to moral considerations [28].”
From The Importance of Moral Construal: Moral versus Non-Moral Construal Elicits Faster, More Extreme, Universal Evaluations of the Same Actions (2012) · cites this paper as [28]
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- Authors
- Cunningham, W. A., Zelazo, P. D., Packer, D. J., & Van Bavel, J. J.
- Affiliations
- The Ohio State University (US)
- Venue
- Social Cognition
- Publisher
- Guilford Publications
- Published
- 2007-10
- Volume
- 25
- Issue
- 5
- Pages
- 736-760
- ISSN
- 0278-016X (ISSN-L)
- OpenAlex
- W2168759216
- Cited by
- 322
- References
- 77
- Citations by year
- 2026: 9 · 2025: 21 · 2024: 8 · 2023: 12 · 2022: 21 · 2021: 21 · 2020: 26 · 2019: 19 · 2018: 30 · 2017: 26 · 2016: 23 · 2015: 24 · 2014: 13 · 2013: 16 · 2012: 17
- FWCI
- 25.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Social Cognition (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- attitude measurement, dual-process models, attitude representation, reflective processing, ambivalence, automated assessment, levels of analysis
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