61,500 responses from 123 respondents to 500 items.
| Description | Responses from a Lexical Decision Task. |
|---|---|
| Reference | Yeatman, J. D., Tang, K. A., Donnelly, P. M., Yablonski, M., Ramamurthy, M., Karipidis, I. I., ... & Domingue, B. W. (2021). Rapid online assessment of reading ability. Scientific reports, 11(1), 6396. |
| DOI | 10.1038/s41598-021-85907-x |
| Licence | CC BY 4.0 |
| Source data | https://github.com/yeatmanlab/LexicalDecision/blob/master/data_allsubs/LDT_alldata_long.csv |
| Responses | 61,500 |
|---|---|
| Respondents | 123 |
| Items | 500 |
| Response categories | 2 |
| Responses per respondent | 500 |
| Responses per item | 123 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Child (6-12y), Adolescent (12-18y) |
| sample | Program-based |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Rapid Online Assessment of Reading ability (ROAR) |
iditemrealpseudoresprt
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("roar_lexical")
# Python
pip install irw
import irw
df = irw.fetch("roar_lexical")
| 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 |