previc_bohn2023

451,010 responses from 1,190 respondents to 379 items.

About this table

DescriptionParent reports of expressive vocabulary
ReferenceBohn, M., Prein, J. C., Engicht, J., Haun, D., Gagarina, N., & Koch, T. (2023, October 19). PREVIC: An adaptive parent report measure of expressive vocabulary in children between 3 and 8 years of age. https://doi.org/10.31234/osf.io/hvncp
DOI10.31234/osf.io/hvncp
LicenceCC BY 4.0
Source datahttps://github.com/manuelbohn/previc

Size and shape

Responses451,010
Respondents1,190
Items379
Response categories2
Responses per respondent379
Responses per item1,190
Density1
LongitudinalFALSE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Early (<6y), Child (6-12y)
sampleEducational
construct typeCognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ger
construct namePREVIC: An adaptive parent report measure of expressive vocabulary in children between 3 and 8 years of age

Item text

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

InstrumentPREVIC: Parent Report of Expressive Vocabulary in Children (Bohn et al., 2025) - initial 379-word item pool
Mean words per item1.084
Mean characters per item6.686
Mean characters per response3
Flesch-Kincaid grade level327.930

Columns

_unnamed_varcov_agecov_sexiditemitemcov_aoaitemcov_english_transitemcov_word_typeresptrial

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("previc_bohn2023")
# Python
pip install irw

import irw
df = irw.fetch("previc_bohn2023")

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