concretewords

691,689 responses from 66,404 respondents to 1,831 items.

About this table

DescriptionConcreteness (is word's meaning understood through perception and action) of expressions
ReferenceMuraki, E. J., Abdalla, S., Brysbaert, M., & Pexman, P. M. (2023). Concreteness ratings for 62,000 English multiword expressions. Behavior Research Methods, 55(5), 2522-2531.
DOI10.3758/s13428-022-01912-6
LicenceCC BY 4.0
Source datahttps://osf.io/ksypa/

Size and shape

Responses691,689
Respondents66,404
Items1,831
Response categories5
Responses per respondent10.416
Responses per item377.766
Density0.006
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational, Internet-based, Targeted/specific
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameConcreteness of words

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, concretewords.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("concretewords")
# Python
pip install irw

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

How to cite

@article{Muraki_2022, title={Concreteness ratings for 62,000 English multiword expressions}, volume={55}, ISSN={1554-3528}, url={http://dx.doi.org/10.3758/s13428-022-01912-6}, DOI={10.3758/s13428-022-01912-6}, number={5}, journal={Behavior Research Methods}, publisher={Springer Science and Business Media LLC}, author={Muraki, Emiko J. and Abdalla, Summer and Brysbaert, Marc and Pexman, Penny M.}, year={2022}, month=jul, pages={2522–2531} }

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v43.0