avci_2024_bagmsz_gir_yonel

1,296 responses from 216 respondents to 6 items.

One of 27 tables from the same source; this one is the bagmsz_gir_yonel table. The others are listed under Related tables.

About this table

DescriptionPsychometric Properties of the Turkish Version of the Entrepreneurs' Social Identity Scale. IRW table avci_2024_bagmsz_gir_yonel: 216 respondents x 6 items, 1296 responses.
ReferenceAvci, M. (2024). Psychometric Properties of the Turkish Version of the Entrepreneurs' Social Identity Scale. Mendeley Data, V1.
LicenceCC BY 4.0
Source datahttps://data.mendeley.com/datasets/826gmw6ypw

Size and shape

Responses1,296
Respondents216
Items6
Response categories7
Responses per respondent6
Responses per item216
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleWorkplace
measurement toolSurvey/questionnaire
primary language(s)tur

Codebook

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.

ColumnWhat it isSource column
IRW standard columns
idIRW 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
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Respondent covariates
cov_ageCovariate not traced
cov_educationCovariate 1 = İlkokul · 2 = Lise · 3 = Üniversite · 4 = Yüksek Lisans · 5 = Doktoranot traced
cov_expertiseCovariate not traced
cov_founding_yearCovariate not traced
cov_genderCovariate not traced
cov_n_employeesCovariate not traced
cov_n_partnersCovariate not traced
cov_sectorCovariate 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.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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_bagmsz_gir_yonel")
# Python
pip install irw

import irw
df = irw.fetch("avci_2024_bagmsz_gir_yonel")

How to cite

@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}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0