8,970 responses from 345 respondents to 26 items.
One of 4 tables from the same source; this one is the csr table. The others are listed under Related tables.
| Description | Perceived corporate social responsibility, 26 items (towards employees, community, environment, customers), 1 (strong disagreement) to 5 (strong agreement). Senior and middle managers of medium/large manufacturing firms in Lahore, Pakistan (English administration). N=345. |
|---|---|
| Reference | Kanwal S, Al Mamun A, Wu M, Bhatti SM, Ali MH (2024). Corporate social responsibility: A driver for green organizational climate and workplace pro-environmental behavior. Heliyon, 10(19), e38987. https://doi.org/10.1016/j.heliyon.2024.e38987 |
| DOI | 10.1016/j.heliyon.2024.e38987 |
| Licence | CC BY 4.0 |
| Source data | https://europepmc.org/article/PMC/PMC11490784 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 8,970 |
|---|---|
| Respondents | 345 |
| Items | 26 |
| Response categories | 5 |
| Responses per respondent | 26 |
| Responses per item | 345 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Perceived corporate social responsibility (CSR towards employees, community, environment and customers) |
|---|---|
| Mean words per item | 11.769 |
| Mean characters per item | 87.769 |
| Mean characters per response | 8.200 |
| Flesch-Kincaid grade level | 16.090 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, kanwal_2024_csr.py. 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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age_group | Covariate | made in the build script |
cov_education | Covariate | made in the build script |
cov_firm_age_years | Covariate | made in the build script |
cov_firm_size | Covariate | made in the build script |
cov_gender | Covariate | made in the build script |
cov_position | Covariate | made in the build script |
cov_tenure_years | Covariate | made in the build script |
What item codes and covariate values stand for is in the source’s codebook, 1-s2.0-S2405844024150189-mmc2.docx.
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("kanwal_2024_csr")
# Python
pip install irw
import irw
df = irw.fetch("kanwal_2024_csr")
@article{Kanwal_2024, title={Corporate social responsibility: A Driver for green organizational climate and workplace pro-environmental behavior}, volume={10}, ISSN={2405-8440}, url={http://dx.doi.org/10.1016/j.heliyon.2024.e38987}, DOI={10.1016/j.heliyon.2024.e38987}, number={19}, journal={Heliyon}, publisher={Elsevier BV}, author={Kanwal, Sara and Al Mamun, Abdullah and Wu, Mengling and Bhatti, Saad Mahmood and Ali, Mohd Helmi}, year={2024}, month=Oct, pages={e38987} }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v44.0 |