10,087,305 responses from 91,331 respondents to 1,458 items.
| 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 |
iditemitem_complexitem_keyresprt
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:
# 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")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |