hmcdm_spatialreasoning

3,500 responses from 350 respondents to 50 items.

About this table

DescriptionData from a spatial reasoning task (fifth wave of data collection)
ReferenceZhang S, Wang S, Chen Y, Kwon S (2023). _hmcdm: Hidden Markov Cognitive Diagnosis Models for Learning_. R package version 2.1.1, <https://CRAN.R-project.org/package=hmcdm>.
LicenceGPL-3.0
Source datahttps://cran.r-project.org/web/packages/hmcdm/index.html

Size and shape

Responses3,500
Respondents350
Items50
Response categories2
Responses per respondent10
Responses per item70
Density0.200
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleGeneral/non-specific
construct typeCognitive/educational
measurement toolTest
item formatLikert Scale/selected response
primary language(s)eng
construct nameSpatial Reasoning Task – Hidden Markov Cognitive Diagnosis Model (HMCDM)

Columns

iditemqmatrix__1qmatrix__2qmatrix__3qmatrix__4resprt

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("hmcdm_spatialreasoning")
# Python
pip install irw

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

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0