11,536 responses from 412 respondents to 28 items.
One of 6 tables from the same source; this one is the academic_motivation table. The others are listed under Related tables.
| Description | Academic Motivation Scale (AMS), 28 items on a 7-point scale, Turkish administration; 412 university students. From a deposit on personality traits and academic motivation as predictors of attitudes toward distance education; the same 412 respondents completed celik_2026_tipi and celik_2026_distance_ed_attitudes_26. |
|---|---|
| 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 | 11,536 |
|---|---|
| Respondents | 412 |
| Items | 28 |
| Response categories | 7 |
| Responses per respondent | 28 |
| Responses per item | 412 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| measurement tool | Survey/questionnaire |
| primary language(s) | tur |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Akademik Motivasyon Ölçeği (Amö-Ü 28) Üniversite Formu -- Turkish adaptation (Ünal-Karagüven, 2012) of the Academic Motivation Scale (AMS-C 28; Vallerand et al., 1992) |
|---|---|
| Mean words per item | 13.786 |
| Mean characters per item | 77.571 |
| Mean characters per response | 8.857 |
| Flesch-Kincaid grade level | 8.396 |
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_academic_motivation")
# Python
pip install irw
import irw
df = irw.fetch("celik_2026_academic_motivation")
@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 | v557 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.2 |
| Redivis dataset DOI | 10.57761/29n9-8y27 |
| Manifest pin for this IRW version | v8.2 |
| Metadata source | irw_meta v40.0 |