10,087,305 responses from 91,331 respondents to 1,458 items.
A version of this table that keeps the option each respondent chose is geography_nom.
One of 2 tables from the same source; this one measures Adaptive Online Learning System (slepemapy.cz) in Geography. The others are listed under Related tables.
| Description | Items testing knowledge of geography |
|---|---|
| Reference | Papoušek, J., Pelánek, R., & Stanislav, V. (2016). Adaptive geography practice data set. Journal of Learning Analytics, 3(2), 317-321. |
| DOI | 10.18608/jla.2016.32.17 |
| Licence | ODbL 1.0 |
| Source data | https://www.fi.muni.cz/adaptivelearning/data/slepemapy/ |
| Responses | 10,087,305 |
|---|---|
| Respondents | 91,331 |
| Items | 1,458 |
| Response categories | 2 |
| Responses per respondent | 110.448 |
| Responses per item | 6918.591 |
| Density | 0.076 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Mixed |
| primary language(s) | cze, eng, spa |
| construct name | Adaptive Online Learning System (slepemapy.cz) in Geography |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | slepemapy.cz adaptive geography practice (outline-map place identification) |
|---|---|
| Mean words per item | 2.283 |
| Mean characters per item | 17.043 |
| Mean characters per response | 67 |
| Flesch-Kincaid grade level | 10.867 |
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 |
rt | IRW standard Response time. | not traced |
| Other columns | ||
item_complex | Not documented Not documented by the IRW; see the source’s codebook. | not traced |
item_key | Not documented Not documented by the IRW; see the source’s codebook. | not traced |
What item codes and covariate values stand for is in the codebook released with the source data.
This table is larger than Redivis serves without a login, so download it with one of the packages below or while signed in to Redivis.
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("geography")
# Python
pip install irw
import irw
df = irw.fetch("geography")
@article{Papou_ek_2016, title={Adaptive Geography Practice Data Set}, volume={3}, ISSN={1929-7750}, url={http://dx.doi.org/10.18608/jla.2016.32.17}, DOI={10.18608/jla.2016.32.17}, number={2}, journal={Journal of Learning Analytics}, publisher={Society for Learning Analytics Research}, author={Papoušek, Jan and Pelánek, Radek and Stanislav, Vít}, year={2016}, month=sep, pages={317–321} }
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v43.0 |