3,798 responses from 211 respondents to 18 items.
One of 4 tables from the same source; this one measures Learning motivation (MSLQ motivation items). The others are listed under Related tables.
| Description | Learning motivation (MSLQ motivation items, Indonesian), 18 items, 1-5; N = 211 Indonesian medical students; cov_sex, cov_age, cov_semester, cov_gpa. |
|---|---|
| Reference | Makkiyah, 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 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/8406719 |
| Responses | 3,798 |
|---|---|
| Respondents | 211 |
| Items | 18 |
| Response categories | 5 |
| Responses per respondent | 18 |
| Responses per item | 211 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ind |
| construct name | Learning motivation (MSLQ motivation items) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Learning motivation scale (MSLQ motivation items, 18 items) |
|---|---|
| Mean words per item | 17.056 |
| Mean characters per item | 88.778 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | 8.012 |
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_age | Covariate | not traced |
cov_gpa | Covariate | not traced |
cov_semester | Covariate | not traced |
cov_sex | Covariate | not traced |
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("makkiyah_2023_motivation")
# Python
pip install irw
import irw
df = irw.fetch("makkiyah_2023_motivation")
@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}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |