margaretto_2025_translation_study_1_vocabulary_2

Name: margaretto_2025_translation_study_1_vocabulary_2
Creator: Item Response Warehouse
Published: 2026-09-19
License: CC BY 4.0

11,319 responses from 231 respondents to 49 items.

About this table

Description	Responses to the second StuVoc-Esp vocabulary subset (translation of StuVoc-Eng2 items) from Study 1
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	11,319
Respondents	231
Items	49
Response categories	2
Responses per respondent	49
Responses per item	231
Density	1
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	Student Vocabulary Test 2 (StuVoc2)

Columns

cov_agecov_countrycov_educationlevelcov_gendercov_motherlanguagecov_multilingualcov_occupationiditemresp

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant 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("margaretto_2025_translation_study_1_vocabulary_2")

# Python
pip install irw

import irw
df = irw.fetch("margaretto_2025_translation_study_1_vocabulary_2")

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