912 responses from 228 respondents to 4 items.
One of 4 tables from the same source; this one measures Work motivation. The others are listed under Related tables.
| Description | Work motivation (WM1, 2, 7, 8); 4 items, 1-5; 228 Malaysian polytechnic academics (after the authors' outlier removal); covariates: cov_age_group, cov_tenure. |
|---|---|
| Reference | Ghasemy, M., Mohajer, L., Frombling, L., & Karimi, M. (2021). Faculty members in polytechnics to serve the community and industry: conceptual skills and creating value for the community as predictors of job satisfaction and work motivation. SAGE Open, 11(3). https://doi.org/10.1177/21582440211047568 |
| DOI | 10.1177/21582440211047568 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/NTOCDZ |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 912 |
|---|---|
| Respondents | 228 |
| Items | 4 |
| Response categories | 5 |
| Responses per respondent | 4 |
| Responses per item | 228 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| construct name | Work motivation |
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_group | 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_poly_work_motivation")
# Python
pip install irw
import irw
df = irw.fetch("ghasemy_2021_poly_work_motivation")
@article{Ghasemy_2021, title={Faculty Members in Polytechnics to Serve the Community and Industry: Conceptual Skills and Creating Value for the Community—The Two Main Drivers}, volume={11}, ISSN={2158-2440}, url={http://dx.doi.org/10.1177/21582440211047568}, DOI={10.1177/21582440211047568}, number={3}, journal={Sage Open}, publisher={SAGE Publications}, author={Ghasemy, Majid and Mohajer, Leila and Frömbling, Lena and Karimi, Mehrdad}, year={2021}, month=July }
| 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 |