lee2024_relative_clause

779 responses from 44 respondents to 18 items.

About this table

DescriptionEnglish relative clause comprehension test (binary; Korean high school students; Rasch modeling)
ReferenceLee, M. H. (2024). Advancing the Study of English Relative Clause Acquisition: A Rasch Modelling Approach [Dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/K0SRS8
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/K0SRS8

Size and shape

Responses779
Respondents44
Items18
Response categories2
Responses per respondent17.705
Responses per item43.278
Density0.984
LongitudinalFALSE

Classification

sampleEducational
measurement toolTest
item formatLikert Scale/selected response
primary language(s)eng

Item text

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

InstrumentComprehension test for relative clauses (Appendix A), English relative-clause types
Mean words per item15.167
Mean characters per item81
Mean characters per response2
Flesch-Kincaid grade level3.456

Columns

iditemresp

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("lee2024_relative_clause")
# Python
pip install irw

import irw
df = irw.fetch("lee2024_relative_clause")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_2 v19.0
Redivis dataset DOI10.57761/qtx5-4m80
Manifest pin for this IRW versionv19.0
Metadata sourceirw_meta v23.0