3,290 responses from 658 respondents to 5 items.
One of 3 tables from the same source; this one measures Organizational citizenship behaviour toward individuals (OCBI). The others are listed under Related tables.
| Description | Organizational citizenship behaviour toward individuals (OCBI), 5 items, 1-5; N = 658 academics in Malaysia and Japan; cov_gender, cov_age_band, cov_country, cov_tenure. |
|---|---|
| Reference | Ghasemy, M. (2021). Replication Data for: A comparative study between academics in Malaysia and Japan in terms of satisfaction, motivation, and OCBI [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/ILLJEW |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/ILLJEW |
| Responses | 3,290 |
|---|---|
| Respondents | 658 |
| Items | 5 |
| Response categories | 5 |
| Responses per respondent | 5 |
| Responses per item | 658 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | General/non-specific, Workplace |
|---|---|
| construct type | Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng, jpn |
| construct name | Organizational citizenship behaviour toward individuals (OCBI) |
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_age_band | Covariate | not traced |
cov_country | Covariate | not traced |
cov_gender | Covariate | not traced |
cov_tenure | 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("ghasemy_2021_ocbi")
# Python
pip install irw
import irw
df = irw.fetch("ghasemy_2021_ocbi")
@misc{https://doi.org/10.7910/dvn/illjew,
doi = {10.7910/DVN/ILLJEW},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/ILLJEW},
author = {Ghasemy, Majid},
keywords = {Other, satisfaction, motivation, OCBI},
title = {Replication Data for: A comparative study between academics in Malaysia and Japan in terms of satisfaction, motivation, and OCBI},
publisher = {Harvard Dataverse},
year = {2021}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |