15,850 responses from 634 respondents to 25 items.
One of 7 tables from the same source; this one measures Prosocial Tendencies Measure. The others are listed under Related tables.
| Description | the prosocial tendencies measure–revised assesses individuals' motivations and tendencies to engage in prosocial behavior across different contexts |
|---|---|
| Reference | Chakraborty, 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. |
| DOI | 10.1038/s41598-026-37436-8 |
| Licence | CC BY 4.0 |
| Source data | Author Permission |
| Responses | 15,850 |
|---|---|
| Respondents | 634 |
| Items | 25 |
| Response categories | 5 |
| Responses per respondent | 25 |
| Responses per item | 634 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Prosocial Tendencies Measure |
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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW 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 |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
| Respondent covariates | ||
cov_gender | Covariate | not traced |
cov_grade | Covariate | not traced |
cov_handedness | Covariate | not traced |
cov_ses | Covariate | not traced |
What item codes and covariate values stand for is in the codebook released with the source data.
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_PTM_IRW")
# Python
pip install irw
import irw
df = irw.fetch("chakraborty2026_PTM_IRW")
@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 }
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v33.0 |
| Redivis dataset DOI | 10.57761/6m04-m698 |
| Manifest pin for this IRW version | v33.0 |
| Metadata source | irw_meta v43.0 |