frac20

10,720 responses from 536 respondents to 20 items.

About this table

DescriptionData from fraction subtraction problems.
ReferenceTatsuoka, C. (2002). Data analytic methods for latent partially ordered classification models. Journal of the Royal Statistical Society: Series C (Applied Statistics), 51(3), 337-350.
DOI10.1111/1467-9876.00272
LicenceGPL-3.0
Source datahttps://cran.r-project.org/web/packages/GDINA/index.html

Size and shape

Responses10,720
Respondents536
Items20
Response categories2
Responses per respondent20
Responses per item536
Density1
LongitudinalFALSE

Classification

age rangeChild (<18y)
sampleTargeted/specific
construct typeCognitive/educational
measurement toolTest
item formatLikert Scale/selected response
primary language(s)eng
construct namefrac20 (Fraction Subtraction Data)

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentData from fraction subtraction problems.
Mean words per item4.100
Mean characters per item11.050
Flesch-Kincaid grade level-1.879

Columns

iditemqmatrix__1qmatrix__2qmatrix__3qmatrix__4qmatrix__5qmatrix__6qmatrix__7qmatrix__8resp

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("frac20")
# Python
pip install irw

import irw
df = irw.fetch("frac20")

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