Data underlying the publication: Choice blindness manipulation detection as indicator of risk preference stability? An online experiment to construct preferences for urban drainage and flood risk policy.

DOI:10.4121/5524da58-b498-485e-ae19-3029709466ea.v2
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/5524da58-b498-485e-ae19-3029709466ea

Datacite citation style

Scholten, Lisa (2025): Data underlying the publication: Choice blindness manipulation detection as indicator of risk preference stability? An online experiment to construct preferences for urban drainage and flood risk policy. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/5524da58-b498-485e-ae19-3029709466ea.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 2 - 2025-08-08 (latest)
Version 1 - 2025-08-05

The data set contains data collected from from 330 individuals (English-speaking, UK residents) along with programming code to analyse the data. The purpose of the study was to experimentally test the coincidence of choice blindness manipulation detection and risk preference stability along with common predictors, incl. task-, domain-, and individual-specific variables. The experiment and data collection protocol were pre-registered at the Open Science Foundation (DOI: 10.17604/OSF.IO/54NUW, see "References") and collected using an online randomized controlled experiment implemented using the online experiment builder Gorilla (available as Gorilla Open Material, see "References). Participants were recruited via the Prolific Academic platform. Data types provided include numeric, string and R code with R Markdown annotations.

History

  • 2025-08-05 first online
  • 2025-08-08 published, posted

Publisher

4TU.ResearchData

Format

The file formats used include .csv, .Rdata, .R and .RMD files as well as an .html document. A readme.txt file is provided to aid navigating the data.

Organizations

TU Delft, Faculty of Technology, Policy and Management, Department of Multi Actor Systems, Policy Analysis

DATA

Files (2)