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)

Columns

iditemraterresp

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:

# 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")

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