691,689 responses from 66,404 respondents to 1,831 items.
| Description | Concreteness (is word's meaning understood through perception and action) of expressions |
|---|---|
| Reference | Muraki, 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. |
| DOI | 10.3758/s13428-022-01912-6 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/ksypa/ |
| Responses | 691,689 |
|---|---|
| Respondents | 66,404 |
| Items | 1,831 |
| Response categories | 5 |
| Responses per respondent | 10.416 |
| Responses per item | 377.766 |
| Density | 0.006 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, Internet-based, Targeted/specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Concreteness of words |
iditemresp
Or load it directly in R or Python:
# 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")
| 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 |