432 responses from 216 respondents to 2 items.
One of 27 tables from the same source; this one is the aktif_gir_yonel table. The others are listed under Related tables.
| Description | Psychometric Properties of the Turkish Version of the Entrepreneurs' Social Identity Scale. IRW table avci_2024_aktif_gir_yonel: 216 respondents x 2 items, 432 responses. |
|---|---|
| Reference | Avci, M. (2024). Psychometric Properties of the Turkish Version of the Entrepreneurs' Social Identity Scale. Mendeley Data, V1. |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/826gmw6ypw |
| Responses | 432 |
|---|---|
| Respondents | 216 |
| Items | 2 |
| Response categories | 7 |
| Responses per respondent | 2 |
| Responses per item | 216 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | tur |
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 | Covariate | not traced |
cov_education | Covariate 1 = İlkokul · 2 = Lise · 3 = Üniversite · 4 = Yüksek Lisans · 5 = Doktora | not traced |
cov_expertise | Covariate | not traced |
cov_founding_year | Covariate | not traced |
cov_gender | Covariate | not traced |
cov_n_employees | Covariate | not traced |
cov_n_partners | Covariate | not traced |
cov_sector | Covariate | not traced |
Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled 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("avci_2024_aktif_gir_yonel")
# Python
pip install irw
import irw
df = irw.fetch("avci_2024_aktif_gir_yonel")
@misc{https://doi.org/10.17632/826gmw6ypw,
doi = {10.17632/826GMW6YPW},
url = {https://data.mendeley.com/datasets/826gmw6ypw},
author = {Avci, Murat},
keywords = {Entrepreneurship, Startup},
title = {Psychometric Properties of the Turkish Version of the Entrepreneurs' Social Identity Scale},
publisher = {Mendeley Data},
year = {2025}
}
| 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 |