Revisiting partition priming in judgement under uncertainty: replication and extension Registered Report of Fox and Rottenstreich (2003)
Year: 2025
Type: article
Abstract: Partition dependence is the phenomenon in which individuals’ evaluations of probabilities are influenced by the partitioning of the information in the way the information is presented or framed. In a Registered Report experiment with an American online Prolific sample ( N = 603), we conducted a replication and extension of Studies 1a, 1b, 3 and 4 from a classic article by Fox and Rottenstreich (Fox & Rottenstreich 2003 Psychol. Sci . 14 , 195–200 (doi: 10.1111/1467-9280.02431 )) demonstrating the phenomenon. They showed that participants’ estimations of an event’s likelihood shifted based on minor adjustments of the framing that suggested a change in partitioning perspective (‘ignorance prior’ priming). Based on a pre-registered replication evaluation criterion, we concluded a mostly successful replication of the findings of Fox and Rottenstreich (2003). Specifically, we found support for partition dependence in scenarios from Study 1a Items 1 and 2, Study 1b and Study 3, with weaker effects, yet with no consistent support for Study 1a Item 3 and Study 4. Our extensions further explored the robustness of partition dependence by examining participants’ probability evaluations of complementary events (happen versus not happen) and the impact of task order on judgement and decision making. Overall, the findings suggest support for partition dependence, yet as more nuanced and context-dependent than expected, and the need for further research to understand its mechanisms, robustness and implications across different contexts. Materials, data and code are available on at https://osf.io/g9czs/ . This Registered Report has been officially endorsed by Peer Community in Registered Reports: https://doi.org/10.24072/pci.rr.100877 .
Source: Royal Society Open Science
DOI: 10.1098/rsos.250669
Authors: Kerou Ding, Gilad Feldman
Institution: University of Hong Kong
Language: English
Subfield: General Decision Sciences
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,471
OpenAlex ID: W4412109780