2,724 responses from 681 respondents to 4 items.
One of 9 tables from the same source; this one is the rtp table. The others are listed under Related tables.
| Description | Risk-taking propensity, 4 items (RTP1-RTP4), 1 (strongly disagree) to 5 (strongly agree). Students and graduates of five universities in Southern China (online survey, June-July 2022). N=681 after dropping three double submissions. |
|---|---|
| Reference | Lyu X, Al Mamun A, Yang Q, Aziz NA (2024). Social entrepreneurial intention among university students in China. Scientific Reports, 14, 7362. https://doi.org/10.1038/s41598-024-58060-4 |
| DOI | 10.1038/s41598-024-58060-4 |
| Licence | CC BY 4.0 |
| Source data | https://static-content.springer.com/esm/art%3A10.1038%2Fs41598-024-58060-4/MediaObjects/41598_2024_58060_MOESM2_ESM.csv |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 2,724 |
|---|---|
| Respondents | 681 |
| Items | 4 |
| Response categories | 5 |
| Responses per respondent | 4 |
| Responses per item | 681 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Risk-taking propensity |
|---|---|
| Mean words per item | 13.250 |
| Mean characters per item | 80.250 |
| Mean characters per response | 7.400 |
| Flesch-Kincaid grade level | 9.045 |
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_education | Covariate | not traced |
cov_gender | Covariate | not traced |
cov_household_income_cny | Covariate | not traced |
cov_subject | Covariate | not traced |
cov_university | Covariate | not traced |
What item codes and covariate values stand for is in the source’s codebook, 41598_2024_58060_MOESM1_ESM.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("lyu_2024_rtp")
# Python
pip install irw
import irw
df = irw.fetch("lyu_2024_rtp")
@article{Lyu_2024, title={Social entrepreneurial intention among university students in China}, volume={14}, ISSN={2045-2322}, url={http://dx.doi.org/10.1038/s41598-024-58060-4}, DOI={10.1038/s41598-024-58060-4}, number={1}, journal={Scientific Reports}, publisher={Springer Science and Business Media LLC}, author={Lyu, Xinyue and Al Mamun, Abdullah and Yang, Qing and Aziz, Norzalita Abd}, year={2024}, month=Mar }
| 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 |