bari_2025_deposit_inclusion

2,500 rated or chosen profiles from 250 respondents, in up to 5 tasks of 2 profiles varying on 5 attributes.

About this table

DescriptionSlum-dwelling households in Khulna, Bangladesh compared hypothetical deposit products described by documentation requirement, service charge, linked facility, help desk and return type, in 5 choice sets of two products each, with a no-product option. 250 respondents, 2,500 profile rows; outcomes are the first-ranked option, the forced A/B choice and each profile's rank.
ReferenceBari, M. A. (2025). Financial Inclusion Strategies Conjoint [Data set]. Mendeley Data.
LicenceCC BY 4.0
Source datahttps://doi.org/10.17632/mh7cwkn49t

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

Respondents250
Rows (one per respondent, task and profile)2,500
Tasks per respondent (most)5
Profiles per task2
Attributes5
Tasks with no profile chosen45

Design

Topicother
A profile representsproduct service
CountryBD
Language shownunknown
Language of stored levelsen
Randomization restrictionsobserved in the data (not documented by the source): fixed blocked design of 10 choice sets, 5 per respondent; alternative B always has High documentation and A never has the BDT60 charge, so combinations are not independent and levels are unequally frequent (e.g. Only Loan 750 of 2500 rows vs Loan and Safety Net Allowance 1750)
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.

Outcomes:

choiceunknown (no question wording in the deposit); the option ranked first among product A, product B and no product [choice, opt-out allowed]
choice_forcedunknown (no question wording in the deposit); the preferred of products A and B (the authors' Internal Choice) [choice, forced]
rating_rankunknown (no question wording in the deposit); rank of this product among product A, product B and no product [rating, 1 (most preferred) to 3 (least preferred)]

Columns

attr_documentationattr_help_deskattr_linked_facilityattr_return_typeattr_service_chargechoicechoice_forcedcov_agecov_gender_codeidprofilerating_ranktask

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("bari_2025_deposit_inclusion", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("bari_2025_deposit_inclusion", source="conj")

How to cite

@misc{https://doi.org/10.17632/mh7cwkn49t,
  doi = {10.17632/MH7CWKN49T},
  url = {https://data.mendeley.com/datasets/mh7cwkn49t},
  author = {Md Abdul, Bari},
  keywords = {Data Replication},
  title = {Financial Inclusion Strategies Conjoint},
  publisher = {Mendeley Data},
  year = {2025}
}

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