30,212 responses from 581 respondents to 52 items.
| Description | Receptive vocabulary task (in German) for children 3-8 |
|---|---|
| Reference | Bohn, M., Prein, J. C., Delikaya, B., Haun, D. B. M., & Gagarina, N. (2022, August 24). oREV: an Item Response Theory based open receptive vocabulary task for 3 to 8-year-old children. https://doi.org/10.31234/osf.io/4z86w |
| DOI | 10.31234/osf.io/4z86w |
| Licence | CC BY 4.0 |
| Source data | https://github.com/ccp-eva/vocab |
| Responses | 30,212 |
|---|---|
| Respondents | 581 |
| Items | 52 |
| Response categories | 2 |
| Responses per respondent | 52 |
| Responses per item | 581 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Early (<6y), Child (6-12y) |
| sample | General/non-specific |
| construct type | Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ger |
| construct name | oREV: Open Receptive Vocabulary Task (German) for children 3–8 years |
chosencategorychosenpositionchosenwordcov_agecov_age_groupcov_genderiditemitemcov_aoa_german_combitemcov_germanitemcov_groupitemcov_orderitemcov_sourceresprtsubjidtargetword
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("vocab_assessment_3_to_8_year_old_children")
# Python
pip install irw
import irw
df = irw.fetch("vocab_assessment_3_to_8_year_old_children")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |