8,940 rated or chosen profiles from 754 respondents, in up to 6 tasks of 2 profiles varying on 3 attributes.
One of 2 tables from the same source; this one is the aid_projects table. The others are listed under Related tables.
| Description | Discrete choice experiment in which 754 education policymakers in 35 low- and middle-income countries (CGD survey) chose between two hypothetical aid projects (or neither) over 6 rounds; attributes: project type, technical assistance and budget. Outcome: choice with a 'None of these options' opt-out. |
|---|---|
| Reference | Crawfurd, L., Hares, S., Minardi, A., & Sandefur, J. (2025). Understanding education policy preferences: Survey experiments with policymakers in 35 developing countries. World Development, 196, 107140. |
| DOI | 10.1016/j.worlddev.2025.107140 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/E0TDA8 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 754 |
|---|---|
| Rows (one per respondent, task and profile) | 8,940 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 2 |
| Attributes | 3 |
| Tasks with no profile chosen | 252 |
| Topic | international economy, other |
|---|---|
| A profile represents | policy |
| Country | unknown |
| Language shown | en, fr |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Now I am going to ask you about some hypothetical aid projects. I am going to describe two aid projects and ask you to choose which one you would prefer. [choice, opt-out allowed] |
|---|
attr_budgetattr_projectattr_technical_assistancechoicecov_agencycov_current_empcov_duration_seccov_experiencecov_gendercov_googlelistcov_lang_frenchcov_onlinecov_regioncov_subnationalidprofiletasktrial_preamble
The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("crawfurd_2025_aid_projects", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("crawfurd_2025_aid_projects", source="conj")
@article{Crawfurd_2025, title={Understanding education policy preferences: Survey experiments with policymakers in 35 developing countries}, volume={196}, ISSN={0305-750X}, url={http://dx.doi.org/10.1016/j.worlddev.2025.107140}, DOI={10.1016/j.worlddev.2025.107140}, journal={World Development}, publisher={Elsevier BV}, author={Crawfurd, Lee and Hares, Susannah and Minardi, Ana and Sandefur, Justin}, year={2025}, month=Dec, pages={107140} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint_2 v1.4 |
| Redivis dataset DOI | 10.57761/hk97-wv30 |
| Manifest pin for this IRW version | v1.4 |
| Metadata source | irw_meta v44.0 |