159,058 responses from 2,476 respondents to 4 items.
| Description | 803 native Arabic speakers provided age of acquisition (AOA) and concreteness (CNC) ratings for 2,467 MSA words |
|---|---|
| Reference | Alzahrani, A., Aljuaythin, W., Alshumrani, H., Saleh, A. M., & Mostafa, M. M. (2025). Kalimah norms: Ratings for 2,467 modern standard Arabic words on two scales. Behavior Research Methods, 57(7), 194. |
| DOI | 10.3758/s13428-025-02692-5 |
| Licence | Permission via Email |
| Source data | https://osf.io/zajk6/?view_only=b2ce3c47a0c640f68dda1e718e9f39b5 |
| Responses | 159,058 |
|---|---|
| Respondents | 2,476 |
| Items | 4 |
| Response categories | 8 |
| Responses per respondent | 64.240 |
| Responses per item | 39764.500 |
| Density | 16.060 |
| Longitudinal | FALSE |
| age range | Non-human |
|---|---|
| sample | Non-human |
| construct type | Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ara, eng |
| construct name | Age of acquisition(AOA), Concreteness(CNC) |
cov_arabic_wordcov_frequencycov_num_letterscov_posiditemraterresprt
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("kalimahnorms_alzahrani_2025")
# Python
pip install irw
import irw
df = irw.fetch("kalimahnorms_alzahrani_2025")
| 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 |