41,515 responses from 1,805 respondents to 23 items.
| Description | Intrinsic Motivation Inventory adaptation, 23 items, 1 (highest) to 7 (lowest); N = 1,805 Czech secondary-school students after practical work in physics; cov_gender, cov_stem_intention, cov_diligence. |
|---|---|
| Reference | Kácovský, P. (2022). DATASET associated with the research of students' intrinsic motivation during practical work in physics [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6394501 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/6394501 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 41,515 |
|---|---|
| Respondents | 1,805 |
| Items | 23 |
| Response categories | 7 |
| Responses per respondent | 23 |
| Responses per item | 1,805 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | cze |
| construct name | Intrinsic Motivation Inventory (IMI), practical work in physics |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, kacovsky_2022_imi.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.
| 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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_diligence | Covariate | self_reported_diligence |
cov_gender | Covariate | gender |
cov_stem_intention | Covariate | intention_to_study_STEM |
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("kacovsky_2022_imi")
# Python
pip install irw
import irw
df = irw.fetch("kacovsky_2022_imi")
@misc{https://doi.org/10.5281/zenodo.6394501,
doi = {10.5281/ZENODO.6394501},
url = {https://zenodo.org/record/6394501},
author = {Kácovský, Petr},
keywords = {intrinsic motivation, practical work, physics teaching and learning},
language = {en},
title = {DATASET associated with the research of students' intrinsic motivation during practical work in physics},
publisher = {Zenodo},
year = {2022},
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 |