6,600 responses from 330 respondents to 20 items.
One of 3 tables from the same source; this one measures Satisfaction with innovation and entrepreneurship curriculum. The others are listed under Related tables.
| Description | Satisfaction with innovation and entrepreneurship courses (curriculum management, teaching staff, teaching content, assessment, overall), 20 items, 1-5; N = 330 Chinese college students; cov_gender, cov_grade, cov_major. |
|---|---|
| Reference | Chen, C., Zhou, W., Lu, Y., & Cai, Z. (2026). The Study of the Relationship Between College Students' Entrepreneurial Motivation and Entrepreneurial Intention. International Journal of Asian Business and Information Management, 16(1), 1-22. https://doi.org/10.4018/IJABIM.396958 |
| DOI | 10.4018/IJABIM.396958 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/N56YBG |
| Responses | 6,600 |
|---|---|
| Respondents | 330 |
| Items | 20 |
| Response categories | 5 |
| Responses per respondent | 20 |
| Responses per item | 330 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Educational, General/non-specific |
|---|---|
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
| construct name | Satisfaction with innovation and entrepreneurship curriculum |
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_major | 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("chen_2026_course_satisfaction")
# Python
pip install irw
import irw
df = irw.fetch("chen_2026_course_satisfaction")
@article{Chen_2026, title={The Study of the Relationship Between College Students’ Entrepreneurial Motivation and Entrepreneurial Intention: A Mediation Model of Satisfaction With Innovation and Entrepreneurship Curriculums}, volume={16}, ISSN={1947-9646}, url={http://dx.doi.org/10.4018/IJABIM.396958}, DOI={10.4018/ijabim.396958}, number={1}, journal={International Journal of Asian Business and Information Management}, publisher={IGI Global Scientific Publishing}, author={Chen, Chiwei and Zhou, Wei and Lu, Yunfeng and Cai, Zihui}, year={2026}, month=Jan, pages={1–22} }
| 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 |