cdm_ecpe

81,816 responses from 2,922 respondents to 28 items.

About this table

DescriptionData from an English proficiency exam (ECPE)
ReferenceTemplin, J., & Hoffman, L. (2013). Obtaining diagnostic classification model estimates using Mplus. Educational Measurement: Issues and Practice, 32, 37-50.
DOI10.1111/emip.12010
LicenceGPL-3.0
Source datahttps://cran.r-project.org/web/packages/CDM/index.html

Size and shape

Responses81,816
Respondents2,922
Items28
Response categories2
Responses per respondent28
Responses per item2,922
Density1
LongitudinalFALSE

Classification

sampleEducational
construct typeCognitive/educational
measurement toolTest
item formatLikert Scale/selected response
primary language(s)eng
construct nameData from an English proficiency exam (ECPE)

Columns

iditemqmatrix__skill1qmatrix__skill2qmatrix__skill3resp

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("cdm_ecpe")
# Python
pip install irw

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

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