16,962,757 responses from 169,628 respondents to 102,047 items.
| Description | Lexical Processing |
|---|---|
| Reference | Aguasvivas, Jose; Duñabeitia, Jon Andoni (2018). Lexical decision data. figshare. Dataset. https://doi.org/10.6084/m9.figshare.5924647.v2 |
| Licence | CC BY 4.0 |
| Source data | https://figshare.com/articles/dataset/Lexical_decision_data/5924647?file=11209613 |
| Responses | 16,962,757 |
|---|---|
| Respondents | 169,628 |
| Items | 102,047 |
| Response categories | 2 |
| Responses per respondent | 100.000 |
| Responses per item | 166.225 |
| Density | 0.001 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
| construct name | Lexical Processing |
cov_agecov_best_foreigncov_countrycov_educationcov_education_reccov_exp_idcov_gendercov_gender_reccov_handednesscov_handedness_reccov_lexicalitycov_location_reccov_no_foreign_langcov_trial_idcov_trial_orderdateiditemresprt
This table is larger than Redivis serves without a login, so download it with one of the packages below or while signed in to Redivis.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("spalex_aguasvivas_2020")
# Python
pip install irw
import irw
df = irw.fetch("spalex_aguasvivas_2020")
| 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 |