18,840 responses from 785 respondents to 24 items.
One of 3 tables from the same source; this one is the cognitive_flexibility table. The others are listed under Related tables.
| Description | Psychometric Dataset for The Development of The Teacher Executive Regulation Scale (TERS) among Indonesian Higher Education Students. IRW table lestari_2026_cognitive_flexibility: 785 respondents x 24 items, 18840 responses. |
|---|---|
| Reference | lestari, t.; Jatnika, R.; Agustiani, H.; Purba, F.; Rakhmayanti, F.; Sudarmansyah, R. (2026). Psychometric Dataset for The Development of The Teacher Executive Regulation Scale (TERS) among Indonesian Higher Education Students. Mendeley Data, V1. |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/6y7sbzjbny |
| Responses | 18,840 |
|---|---|
| Respondents | 785 |
| Items | 24 |
| Response categories | 4 |
| Responses per respondent | 24 |
| Responses per item | 785 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | ind |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Teacher Executive Regulation Scale (TERS), Sub Tes 1: Cognitive Flexibility (CF) -- situational judgment test (Lestari, Jatnika, Agustiani et al., 2026) |
|---|---|
| Mean words per item | 33.021 |
| Mean characters per item | 213.990 |
| Mean characters per response | 105.278 |
| Flesch-Kincaid grade level | 11.310 |
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_classroom_observation_frequency | Covariate | not traced |
cov_gender | Covariate | not traced |
cov_gpa | Covariate | not traced |
cov_institution | Covariate | not traced |
cov_microteaching | Covariate | not traced |
cov_semester | Covariate | not traced |
cov_study_program | Covariate | not traced |
cov_teaching_experience | Covariate | not traced |
cov_teaching_experience_duration | Covariate | not traced |
What item codes and covariate values stand for is in the source’s codebook, TERS Codebook.pdf.
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("lestari_2026_cognitive_flexibility")
# Python
pip install irw
import irw
df = irw.fetch("lestari_2026_cognitive_flexibility")
@misc{https://doi.org/10.17632/6y7sbzjbny,
doi = {10.17632/6Y7SBZJBNY},
url = {https://data.mendeley.com/datasets/6y7sbzjbny},
author = {lestari, triana and Jatnika, Ratna and Agustiani, Hendriati and Purba, Fredrick Dermawan and Rakhmayanti, Fully and Sudarmansyah, Ranu and Abdullah, Anwar Fadlil},
keywords = {Cognitive Function, Higher Education Teacher},
title = {Psychometric Dataset for The Development of The Teacher Executive Regulation Scale (TERS) among Indonesian Higher Education Students},
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 |