chakraborty2026_BIDR_IRW

10,144 responses from 634 respondents to 16 items.

One of 7 tables from the same source; this one measures Balanced Inventory of Desirable Responding - 16 (BIDR-16). The others are listed under Related tables.

About this table

Descriptionthe balanced inventory of desirable responding measures self-deceptive positivity and impression management as forms of socially desirable responding
ReferenceChakraborty, A., Sharma, M., Gupta, H., & Singh, N. C. (2026). Equilibrium in empathic concern and personal distress predict identification with all humanity (IWAH) in Indian adolescents. Scientific Reports.
DOI10.1038/s41598-026-37436-8
LicenceCC BY 4.0
Source dataAuthor Permission

Size and shape

Responses10,144
Respondents634
Items16
Response categories5
Responses per respondent16
Responses per item634
Density1
LongitudinalFALSE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Adolescent (12-18y)
sampleEducational
construct typePersonality
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameBalanced Inventory of Desirable Responding - 16 (BIDR-16)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Respondent covariates
cov_genderCovariate not traced
cov_gradeCovariate not traced
cov_handednessCovariate not traced
cov_sesCovariate not traced

What item codes and covariate values stand for is in the codebook released with the source data.

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("chakraborty2026_BIDR_IRW")
# Python
pip install irw

import irw
df = irw.fetch("chakraborty2026_BIDR_IRW")

How to cite

@article{Chakraborty_2026, title={Equilibrium in empathic concern and personal distress predict identification with all humanity (IWAH) in Indian adolescents}, ISSN={2045-2322}, url={http://dx.doi.org/10.1038/s41598-026-37436-8}, DOI={10.1038/s41598-026-37436-8}, journal={Scientific Reports}, publisher={Springer Science and Business Media LLC}, author={Chakraborty, Anya and Sharma, Mayank and Gupta, Hritik and Singh, Nandini Chatterjee}, year={2026}, month=feb }

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse_2 v33.0
Redivis dataset DOI10.57761/6m04-m698
Manifest pin for this IRW versionv33.0
Metadata sourceirw_meta v43.0