2,162 responses from 433 respondents to 5 items.
One of 5 tables from the same source; this one measures Internal Corporate Social Responsibility Questionnaire (ICSR Q) - work environment. The others are listed under Related tables.
| Description | Internal CSR questionnaire: work environment subscale, N=433 |
|---|---|
| Reference | Avila-Tamayo, D. F., et al. (2022). Spanish-speaking validation of the internal corporate social responsibility questionnaire. PLOS ONE. |
| DOI | 10.1371/journal.pone.0266711 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0266711 |
| Responses | 2,162 |
|---|---|
| Respondents | 433 |
| Items | 5 |
| Response categories | 7 |
| Responses per respondent | 4.993 |
| Responses per item | 432.400 |
| Density | 0.999 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
| construct name | Internal Corporate Social Responsibility Questionnaire (ICSR Q) - work environment |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Internal Corporate Social Responsibility Questionnaire (ICSR Q; Mory et al., 2016), Spanish-speaking version - Working environment dimension |
|---|---|
| Mean words per item | 21.200 |
| Mean characters per item | 141 |
| Mean characters per response | 21.143 |
| Flesch-Kincaid grade level | 15.053 |
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 |
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("avilatamayo_2022_work_envir")
# Python
pip install irw
import irw
df = irw.fetch("avilatamayo_2022_work_envir")
@article{_vila_Tamayo_2022, title={Spanish–speaking validation of the internal corporate social responsibility questionnaire}, volume={17}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0266711}, DOI={10.1371/journal.pone.0266711}, number={4}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Ávila-Tamayo, Diego Fernando and Bayona, Jaime Andrés}, editor={Barreda-Tarrazona, Iván}, year={2022}, month=Apr, pages={e0266711} }
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v13.0 |
| Redivis dataset DOI | 10.57761/gpg7-sg87 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v43.0 |