aditama_2024_strs

53,872 responses from 1,924 respondents to 28 items.

About this table

DescriptionStudent-Teacher Relationship Scale, Indonesian version, 1-5, secondary students. 1924 respondents x 28 items = 53872 responses.
ReferenceAditama, M. H. R., Atmoko, A., & Muslihati, M. (2024). Dataset Validation of the Indonesian Version of the Student-Teacher Relationship Scale: Rasch Model Analysis [Data set]. Mendeley Data. https://doi.org/10.17632/b4byp3rn7j
LicenceCC BY 4.0
Source datahttps://data.mendeley.com/datasets/b4byp3rn7j

Size and shape

Responses53,872
Respondents1,924
Items28
Response categories5
Responses per respondent28
Responses per item1,924
Density1
LongitudinalFALSE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Adolescent (12-18y)
sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ind

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, aditama_2024_strs.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.

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).Number
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate Umur
cov_gradeCovariate Kelas

What item codes and covariate 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("aditama_2024_strs")
# Python
pip install irw

import irw
df = irw.fetch("aditama_2024_strs")

How to cite

@misc{https://doi.org/10.17632/b4byp3rn7j,
  doi = {10.17632/B4BYP3RN7J},
  url = {https://data.mendeley.com/datasets/b4byp3rn7j},
  author = {ADITAMA, MINT HUSEN RAYA and Atmoko, Adi and Muslihati, Muslihati and Akbar, Sa'dun and Kumaat, Theophany Deasinatalia  and Selfiardy, Syafrida},
  keywords = {Education, Student, Rasch Analysis},
  title = {Dataset Validation of the Indonesian Version of the Student-Teacher Relationship Scale: Rasch Model},
  publisher = {Mendeley Data},
  year = {2024}
}

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v43.0