14,970 rated or chosen profiles from 1,497 respondents, in up to 5 tasks of 2 profiles varying on 6 attributes.

About this table

Description	Tunisian adults (n=1,497) compared 5 pairs of hypothetical foreign investments (company nationality, industry, urban/rural, whether jobs are for men or for women with/without the hijab, skill level, prayer facilities), choosing one and rating support for each on a 7-point scale.
Reference	Jamal, A., & Milner, H. V. (2022). Islam and mass preferences toward foreign direct investment in Tunisia. Journal of Experimental Political Science, 9(3), 314-325.
DOI	10.1017/XPS.2021.5
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/745PK1

Notes

Conjoint table (irw_conjoint). choice = "Which investment do you prefer most? Investment A or Investment B?" (forced); rating = support for each investment, 1-7, reversed from the source so 7 = very strongly support (source 1 = very strongly support, 7 = very strongly oppose). Industry, who the jobs are for, skill and prayer-facility sentences were sometimes omitted, a randomized level coded (not shown). Attribute text is the English stored text; the field language is not documented. Qualtrics ResponseIds dropped; one empty respondent and respondents with no outcome dropped (1,497 vs 1,502 reported).

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents	1,497
Rows (one per respondent, task and profile)	14,970
Tasks per respondent (most)	5
Profiles per task	2
Attributes	6
Tasks with no profile chosen	0

Design

Topic	international economy
A profile represents	policy
Country	TN
Language shown	unknown
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Which investment do you prefer most? Investment A or Investment B? [choice, forced]
rating	Investment A / Investment B: support or oppose (paraphrase; stem not deposited) [rating, 1 (Very strongly oppose) to 7 (Very strongly support)]

Columns

attr_industryattr_jobs_forattr_locationattr_nationalityattr_prayer_facilitiesattr_skillchoicecov_agecov_educationcov_employmentcov_gendercov_incomecov_raisedcov_religiosityidprofileratingtask

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.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

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("jamal_2022_fdi_tunisia", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("jamal_2022_fdi_tunisia", source="conj")

How to cite

@article{Jamal_2021, title={Islam and Mass Preferences Toward Foreign Direct Investment in Tunisia}, volume={9}, ISSN={2052-2649}, url={http://dx.doi.org/10.1017/XPS.2021.5}, DOI={10.1017/xps.2021.5}, number={3}, journal={Journal of Experimental Political Science}, publisher={Cambridge University Press (CUP)}, author={Jamal, Amaney A. and Milner, Helen V.}, year={2021}, month=Apr, pages={314–325} }

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint v4.2
Redivis dataset DOI	10.57761/qkye-q530
Manifest pin for this IRW version	v4.2
Metadata source	irw_meta v44.0