Revisiting Partition Priming in judgment under uncertainty: Replication and extension Registered Report of Fox and Rottenstreich (2003)use asterix (*) to get italics

Kerou Ding, Gilad FeldmanPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"

2024

<p>[IMPORTANT: Abstract, method, and results were written using a randomized dataset produced by Qualtrics to simulate what these sections will look like after data collection. These will be updated following the data collection. For the purpose of the simulation, we wrote things in past tense, but no pre-registration or data collection took place yet.]</p> <p>Partition dependence is the phenomenon in which individuals' evaluations of probabilities are influenced by the partitioning of the information, based on how the information is presented or framed. In a Registered Report experiment involving an American online Amazon Mechanical Turk sample (N = 600), we conducted a replication and extension of Studies 1a, 1b, 3, and 4 from a classic article by Fox and Rottenstreich (2003) 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). [The following is a demo placeholder and will be updated following data collection.] &nbsp;We [found/did not find] support for Fox and Rottenstreich (2003)’s findings [...] Materials, data, and code are available on: <a href="https://osf.io/g9czs/">https://osf.io/g9czs/</a>&nbsp;</p>

Partition dependence; uncertainty; risk; decision making

NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).

Social sciences

Nicolas Treich [nicolas.treich@inrae.fr] suggested: Not sure I know people in this area, here are some names that came: , Nicolas Treich [nicolas.treich@inrae.fr] suggested: Stefan Trautman: S.T.Trautmann@tilburguniversity.edu , Nicolas Treich [nicolas.treich@inrae.fr] suggested: Gils van der Kuilen: g.v.d.kuilen@uvt.nl , Nicolas Treich [nicolas.treich@inrae.fr] suggested: Daniel Bejnamin: daniel.benjamin@gmail.com , Nicolas Treich [nicolas.treich@inrae.fr] suggested: Wandi Bruine de Brin: wandibdb@usc.edu , Nicolas Treich [nicolas.treich@inrae.fr] suggested: Ask to Aurélien Baillon, Lionel Page, L'haridon, Mathew S. Isaac [isaacm@seattleu.edu] suggested: Poornima Vinoo Poornima_Vinoo@isb.edu, Craig Fox suggested: Yuval Rottenstreich <yuval@rady.ucsd.edu>, Daniel Benjamin [daniel.benjamin@gmail.com] suggested: Craig Fox <craig.fox@anderson.ucla.edu>, Don Moore suggested: Daniel Benjamin (USC) , Don Moore suggested: Michael Dougherty (U Maryland) , Don Moore suggested: Gal Zauberman (Yale)

e.g. John Doe john@doe.com

No need for them to be recommenders of PCI Registered Reports. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct

2024-01-18 12:46:26

Romain Espinosa