510 responses from 170 respondents to 3 items.
| Description | Task Knowledge |
|---|---|
| Reference | Klimova, Aigul, Deviatko, Inna, Lebedev, Daniil, and Semenova, Tatiana. Cognitive Load: Fully-labeled or end-labeled scales. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-09-26. https://doi.org/10.3886/E194063V2 |
| Licence | CC BY 4.0 |
| Source data | https://www.openicpsr.org/openicpsr/project/194063/version/V2/view |
| Responses | 510 |
|---|---|
| Respondents | 170 |
| Items | 3 |
| Response categories | 81 |
| Responses per respondent | 3 |
| Responses per item | 170 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Constructed Response |
| primary language(s) | rus |
| construct name | Task Knowledge |
cov_agecov_coffeecov_drugscov_eyesight_problemscov_femalecov_glasses_lensescov_group1cov_group2cov_q1cov_q2cov_q3cov_q4cov_q5iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("cognitive_load_klimova_2023_know")
# Python
pip install irw
import irw
df = irw.fetch("cognitive_load_klimova_2023_know")
| 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 |