makkiyah_2023_srl

10,550 responses from 211 respondents to 50 items.

One of 4 tables from the same source; this one measures Self-regulated learning (MSLQ learning strategies). The others are listed under Related tables.

About this table

DescriptionSelf-regulated learning (MSLQ learning-strategies items, Indonesian), 50 items, 1-5; N = 211 Indonesian medical students; cov_sex, cov_age, cov_semester, cov_gpa.
ReferenceMakkiyah, F. A. (2023). Not just motivation, but also self-regulated learning affected the academic achievement of Indonesian medical students [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8406719
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/8406719

Size and shape

Responses10,550
Respondents211
Items50
Response categories5
Responses per respondent50
Responses per item211
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ind
construct nameSelf-regulated learning (MSLQ learning strategies)

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentSelf-regulated learning scale (MSLQ learning-strategies items, 50 items)
Mean words per item16.860
Mean characters per item89.300
Mean characters per response2
Flesch-Kincaid grade level7.783

Codebook

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.

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).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Respondent covariates
cov_ageCovariate not traced
cov_gpaCovariate not traced
cov_semesterCovariate not traced
cov_sexCovariate not traced

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("makkiyah_2023_srl")
# Python
pip install irw

import irw
df = irw.fetch("makkiyah_2023_srl")

How to cite

@misc{https://doi.org/10.5281/zenodo.8406719,
  doi = {10.5281/ZENODO.8406719},
  url = {https://zenodo.org/record/8406719},
  author = {{Feda Anisah Makkiyah}},
  keywords = {Academic performance, correlation, medical},
  title = {NOT JUST MOTIVATION, BUT ALSO SELF-REGULATED LEARNING AFFECTED THE ACADEMIC ACHIEVEMENT OF INDONESIAN MEDICAL STUDENTS},
  publisher = {Zenodo},
  year = {2023},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0