Ellipse_Corssley_2024

142,240 responses from 8,890 respondents to 8 items.

About this table

DescriptionThe English Language Learner Insight, Proficiency and Skills Evaluation (ELLIPSE)
ReferenceCrossley, S. A., Tian, Y., Baffour, P., Franklin, A., Kim, Y., Morris, W., Benner, B., Picou, A., & Boser, U. (2023). Measuring second language proficiency using the English Language Learner Insight, Proficiency and Skills Evaluation (ELLIPSE) Corpus. International Journal of Learner Corpus Research, 9 (2), 248-269.
LicenceCC BY-NC-SA 4.0
Source datahttps://github.com/scrosseye/ELLIPSE-Corpus?tab=readme-ov-file#readme

Size and shape

Responses142,240
Respondents8,890
Items8
Response categories6
Responses per respondent16
Responses per item17,780
Density2
LongitudinalFALSE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Adolescent (12-18y)
sampleEducational, General/non-specific
construct typeCognitive/educational
measurement toolTest
item formatConstructed Response
primary language(s)eng
construct nameEnglish Language Learner Insight, Proficiency and Skills Evaluation (ELLIPSE)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, Ellipse_Corssley_2024.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).Filename
itemIRW standard Item identifier.made in the build script
raterIRW standard Observer identifier in scenarios where items are rated by an external observer rather than self-reported.Rater
respIRW standard Response value.made in the build script

What item codes and covariate values stand for is in the source’s README, README.md.

Get the data

Licence: CC BY-NC-SA 4.0 — non-commercial use only; adaptations must be shared under the same licence.

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("Ellipse_Corssley_2024")
# Python
pip install irw

import irw
df = irw.fetch("Ellipse_Corssley_2024")

How to cite

@article{crossley2023measuring,
  title={Measuring second language proficiency using the {English} {Language} {Learner} {Insight}, {Proficiency} and {Skills} {Evaluation} ({ELLIPSE}) {Corpus}},
  author={Crossley, Scott A. and Tian, Yingfei and Baffour, Perpetual and Franklin, Ashleigh and Kim, Yeonjoo and Morris, William and Benner, Benjamin and Picou, Amanda and Boser, Ulrich},
  journal={International Journal of Learner Corpus Research},
  volume={9},
  number={2},
  pages={248--269},
  year={2023},
  url={https://github.com/scrosseye/ELLIPSE-Corpus?tab=readme-ov-file#readme}
}

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