Item Response Warehouse / Tables / margaretto_2025_translation_study_2_readingcomprehensionmargaretto_2025_translation_study_2_readingcomprehension
8,047 responses from 220 respondents to 42 items.
About this table
Description Reading-comprehension responses from Study 2 Reference Bermúdez-Margaretto, B., Brysbaert, M. How efficient is translation in language testing? Deriving valid student vocabulary tests in Spanish (StuVoc1-Esp and StuVoc2-Esp) from established English tests. Behav Res 57, 183 (2025). https://doi.org/10.3758/s13428-025-02708-0 DOI 10.3758/s13428-025-02708-0 Licence CC BY 4.0 Source data https://osf.io/c8n2x/
Size and shape
Responses 8,047 Respondents 220 Items 42 Response categories 2 Responses per respondent 36.577 Responses per item 191.595 Density 0.871 Longitudinal FALSE
Classification
age range Adult (18+) sample Educational, Targeted/specific construct type Other measurement tool Test item format Likert Scale/selected response primary language(s) eng, spa construct name Reading Comprehension (RC)
Columns
cov_age cov_country cov_educationlevel cov_gender cov_motherlanguage cov_multilingual cov_occupation id item resp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("margaretto_2025_translation_study_2_readingcomprehension")
# Python
pip install irw
import irw
df = irw.fetch("margaretto_2025_translation_study_2_readingcomprehension")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_2 v19.0 Redivis dataset DOI 10.57761/qtx5-4m80 Manifest pin for this IRW version v19.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_2 v19.0.