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)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, cdm.R. 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.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Other columns
qmatrix__skill1Not documented Item classifications for cognitive diagnostic modeling (Q-matrix).not traced
qmatrix__skill2Not documented Item classifications for cognitive diagnostic modeling (Q-matrix).not traced
qmatrix__skill3Not documented Item classifications for cognitive diagnostic modeling (Q-matrix).not traced

What item codes and covariate values stand for is in the package’s documentation, CDM::data.ecpe.

Get the data

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

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("cdm_ecpe")
# Python
pip install irw

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

How to cite

@article{Templin_2013, title={Obtaining Diagnostic Classification Model Estimates Using Mplus}, volume={32}, ISSN={1745-3992}, url={http://dx.doi.org/10.1111/emip.12010}, DOI={10.1111/emip.12010}, number={2}, journal={Educational Measurement: Issues and Practice}, publisher={Wiley}, author={Templin, Jonathan and Hoffman, Lesa}, year={2013}, month=jun, pages={37–50} }

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse v71.0
Redivis dataset DOI10.57761/f5n4-k797
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v43.0