10,712 responses from 412 respondents to 26 items.
One of 6 tables from the same source; this one is the distance_ed_attitudes_26 table. The others are listed under Related tables.
| Description | Attitudes toward distance and face-to-face education, a 26-item form on a 5-point scale, Turkish administration; 412 university students. A different, longer form than celik_2026_distance_ed_attitudes_16. The same 412 respondents completed celik_2026_academic_motivation and celik_2026_tipi. |
|---|---|
| Reference | CELIK, B. (2026). Personality Traits and Academic Motivation as Predictors of Attitudes Toward Distance Education. Mendeley Data, V1. |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/hwp4wsb549 |
| Responses | 10,712 |
|---|---|
| Respondents | 412 |
| Items | 26 |
| Response categories | 5 |
| Responses per respondent | 26 |
| Responses per item | 412 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| 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 and the script that built it, celik_2026_motivation_distance_ed.py. 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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | Yaş |
cov_class | Covariate | Sınıf |
cov_gender | Covariate | Cinsiyet |
cov_school | Covariate | Okul |
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("celik_2026_distance_ed_attitudes_26")
# Python
pip install irw
import irw
df = irw.fetch("celik_2026_distance_ed_attitudes_26")
@misc{https://doi.org/10.17632/hwp4wsb549,
doi = {10.17632/HWP4WSB549},
url = {https://data.mendeley.com/datasets/hwp4wsb549},
author = {ÇELİK, Birol},
keywords = {Motivation, Personality, Distance Education},
title = {Personality Traits and Academic Motivation as Predictors of Attitudes Toward Distance Education},
publisher = {Mendeley Data},
year = {2026}
}
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.4 |
| Redivis dataset DOI | 10.57761/0gqp-zn75 |
| Manifest pin for this IRW version | v8.4 |
| Metadata source | irw_meta v43.0 |