1,080 responses from 216 respondents to 5 items.
One of 27 tables from the same source; this one is the kazanc_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_kazanc_gir_yonel: 216 respondents x 5 items, 1080 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 | 1,080 |
|---|---|
| Respondents | 216 |
| Items | 5 |
| Response categories | 7 |
| Responses per respondent | 5 |
| Responses per item | 216 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Workplace |
| measurement tool | Survey/questionnaire |
| primary language(s) | tur |
These are classifications the IRW records, not the study’s own words. Some were annotated by hand and some written by an automated tagger whose output is published only where it clears a measured accuracy bar; which values came from which is not recorded per table. Coverage and accuracy per column, and what is held back, are on Tag quality.
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.
Respondent uniqueness. 28% of this table’s respondents are alone in their combination of the 3 covariates above — no one else in the table shares it. That is a necessary condition for re-identification and not re-identification itself, and on a sample this size it is largely arithmetic. The IRW republishes the demographics its sources published and never at finer granularity: see the data standard.
Or load it directly in R (no account needed with irw 1.4.0 or later) or Python (needs a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("irw")
library(irw)
df <- irw_fetch("avci_2024_kazanc_gir_yonel")
# Python
pip install irw
import irw
df = irw.fetch("avci_2024_kazanc_gir_yonel")
Or in Stata, which reads the same no-account CSV as the button above:
* Stata
net install irw, from("https://raw.githubusercontent.com/itemresponsewarehouse/Stata-pkg/main/")
irw_fetch avci_2024_kazanc_gir_yonel, clear
@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 | v674 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v11.0 |
| Redivis dataset DOI | 10.57761/vz89-gt69 |
| Manifest pin for this IRW version | v11.0 |
| Metadata source | irw_meta v59.0 |