2,400 rated or chosen profiles from 2,400 respondents, in up to 1 tasks of 1 profile varying on 2 attributes.

One of 2 tables from the same source; this one is the hiv table. The others are listed under Related tables.

About this table

Description	HIV vignette of a married couple in Ghana, the second of two vignettes every respondent answered: the man HIV positive or negative, crossed with bridewealth paid none/some/all. Eight 1-10 ratings of what family and community members would say and do. N = 2,400.
Reference	Horne, C., Dodoo, N. D., & Dodoo, F. N.-A. (2018). The conditionality of norms: The case of bridewealth. Social Psychology Quarterly, 81(4), 319-339.
DOI	10.1177/0190272518804532
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/GELPR5

Notes

Conjoint table (irw_conjoint_2). Single text vignette per respondent, 3 x 2 between subjects: bridewealth none/some/all by whether the man is HIV positive or negative; level text is paraphrased from the codebook (vignette wording not deposited). Eight 1-10 ratings: how right or wrong the man's/woman's family and men/women in the community will say the woman is (1 very wrong) and how much they will encourage the man to leave her (1 strongly discourage); no opt-out. The same 2,400 respondents also answered the chop-money vignette (horne_2018_bridewealth_chop); conditions follow the authors' versnumber recode, not the o-columns.

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

Design

Topic	social identity interpersonal
A profile represents	person
Country	GH
Language shown	unknown
Language of stored levels	en
Task order	inferred from row order
Profile position	inferred from row order

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

rating_metanorm_man_family	How much the man's family will encourage or discourage the man to leave the woman [rating, 1 (strongly discourage) to 10 (strongly encourage)]
rating_metanorm_men_community	How much other men in the community will encourage or discourage the man from leaving the woman [rating, 1 (strongly discourage) to 10 (strongly encourage)]
rating_metanorm_woman_family	How much the woman's family will encourage or discourage the man from leaving the woman [rating, 1 (strongly discourage) to 10 (strongly encourage)]
rating_metanorm_women_community	How much other women in the community will encourage or discourage the man from leaving the woman [rating, 1 (strongly discourage) to 10 (strongly encourage)]
rating_norm_man_family	How right or wrong the man's family will say the woman is [rating, 1 (very wrong) to 10 (very right)]
rating_norm_men_community	How right or wrong men in the community will say the woman is [rating, 1 (very wrong) to 10 (very right)]
rating_norm_woman_family	How right or wrong the woman's family will say the woman is [rating, 1 (very wrong) to 10 (very right)]
rating_norm_women_community	How right or wrong women in the community will say the woman is [rating, 1 (very wrong) to 10 (very right)]

Columns

attr_bridewealthattr_hiv_statusidprofilerating_metanorm_man_familyrating_metanorm_men_communityrating_metanorm_woman_familyrating_metanorm_women_communityrating_norm_man_familyrating_norm_men_communityrating_norm_woman_familyrating_norm_women_communitytasktrial_version

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("horne_2018_bridewealth_hiv", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("horne_2018_bridewealth_hiv", source="conj")

How to cite

@article{Horne_2018, title={The Conditionality of Norms: The Case of Bridewealth}, volume={81}, ISSN={1939-8999}, url={http://dx.doi.org/10.1177/0190272518804532}, DOI={10.1177/0190272518804532}, number={4}, journal={Social Psychology Quarterly}, publisher={SAGE Publications}, author={Horne, Christine and Dodoo, Naa Dodua and Dodoo, F. Nii-Amoo}, year={2018}, month=Dec, pages={319–339} }

Respondents	2,400
Rows (one per respondent, task and profile)	2,400
Tasks per respondent (most)	1
Profiles per task	1
Attributes	2

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

horne_2018_bridewealth_hiv