31,400 responses from 785 respondents to 40 items.
| Description | Psychometric Dataset for The Development of The Teacher Executive Regulation Scale (TERS) among Indonesian Higher Education Students. IRW table lestari_2026_inhibitory_control: 785 respondents x 40 items, 31400 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 | 31,400 |
|---|---|
| Respondents | 785 |
| Items | 40 |
| Response categories | 4 |
| Responses per respondent | 40 |
| Responses per item | 785 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | ind |
cov_classroom_observation_frequencycov_gendercov_gpacov_institutioncov_microteachingcov_semestercov_study_programcov_teaching_experiencecov_teaching_experience_durationiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("lestari_2026_inhibitory_control")
# Python
pip install irw
import irw
df = irw.fetch("lestari_2026_inhibitory_control")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v4.0 |
| Redivis dataset DOI | 10.57761/yvjw-0981 |
| Manifest pin for this IRW version | v4.0 |
| Metadata source | irw_meta v23.0 |