2,893,980 responses from 48,233 respondents to 1,270 items.
| Description | General knowledge items |
|---|---|
| Reference | Buades-Sitjar, F., Boada, R., Guasch, M., Ferré, P., Hinojosa, J. A., & Duñabeitia, J. A. (2022). The predictors of general knowledge: Data from a Spanish megastudy. Behavior Research Methods, 54(2), 898-909. |
| Licence | CC BY 4.0 |
| Source data | https://figshare.com/articles/dataset/Supplementary_files_for_The_predictors_of_general_knowledge_data_from_a_Spanish_megastudy/14073899 |
| Responses | 2,893,980 |
|---|---|
| Respondents | 48,233 |
| Items | 1,270 |
| Response categories | 2 |
| Responses per respondent | 60 |
| Responses per item | 2278.724 |
| Density | 0.047 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific, Internet-based |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
| construct name | The predictors of general knowledge: Data from a Spanish megastudy. |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | General knowledge items |
|---|---|
| Mean words per item | 10.535 |
| Mean characters per item | 61.364 |
| Mean characters per response | 10.985 |
| Flesch-Kincaid grade level | 10.338 |
iditemorderresprt
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("spanishmegastudy")
# Python
pip install irw
import irw
df = irw.fetch("spanishmegastudy")
| 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 |