aassve_2024_family_ideals_a

47,857 rated or chosen profiles from 7,985 respondents, in up to 6 tasks of 1 profile varying on 8 attributes.

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

About this table

DescriptionFactorial vignettes: 7985 respondents in eight countries (China, Italy, Japan, Korea, Norway, Singapore, Spain, USA) each rated 6 family vignettes varying 8 attributes (union status, fertility, income, community respect, family communication, gender roles, work-family conflict); outcome is the family's success on a 0-10 scale.
ReferenceAassve, A., et al. (2024). Family ideals in an era of low fertility. Proceedings of the National Academy of Sciences.
DOI10.1073/pnas.2311847121
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/LR2B6Y

Notes

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

Size and shape

Respondents7,985
Rows (one per respondent, task and profile)47,857
Tasks per respondent (most)6
Profiles per task1
Attributes8

Design

Topicsocial identity interpersonal
A profile representsperson
CountryCN, IT, JP, KR, NO, SG, ES, US
Language shownunknown
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

ratingPerceived success of the family described in the vignette, 0-10 (variable A_successfam; wording not in the deposit) (paraphrase) [rating, 0 (least successful) to 10 (most successful)]

Columns

attr_extfamcomattr_famcomattr_fertilityattr_genderroleattr_incomeattr_respectattr_unionattr_WLBcov_agecov_countrycov_education_codecov_gendercov_survey_weightidprofileratingtasktrial_blocktrial_vignette_id

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 neededBrowse on Redivisexplore and queryCroissant 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("aassve_2024_family_ideals_a", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("aassve_2024_family_ideals_a", source="conj")

How to cite

@article{Aassve_2024, title={Family ideals in an era of low fertility}, volume={121}, ISSN={1091-6490}, url={http://dx.doi.org/10.1073/pnas.2311847121}, DOI={10.1073/pnas.2311847121}, number={6}, journal={Proceedings of the National Academy of Sciences}, publisher={National Academy of Sciences}, author={Aassve, Arnstein and Adserà, Alícia and Chang, Paul Y. and Mencarini, Letizia and Park, Hyunjoon and Peng, Chen and Plach, Samuel and Raymo, James M. and Wang, Senhu and Jean Yeung, Wei-Jun}, year={2024}, month=Jan }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0