81,934 responses from 1,134 respondents to 54 items.
| Description | Data on undergraduate students' attitudes towards science pre- and post-participation in a protein-centric CURE |
|---|---|
| Reference | Eddy, R., Koletar, C., Galport, N., Bell, J. E., Bell, J. K., & Provost, J. (2022). CURE Survey Pretest and Post-Test Student Data. LDbase. https://doi.org/10.33009/ldbase.1667941609.e3ab |
| Licence | CC BY 4.0 |
| Source data | https://ldbase.org/datasets/52d68819-205b-446e-9dd2-35b5982f6aca |
| Responses | 81,934 |
|---|---|
| Respondents | 1,134 |
| Items | 54 |
| Response categories | 7 |
| Responses per respondent | 72.252 |
| Responses per item | 1517.296 |
| Density | 1.338 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific |
| construct type | Affective/mental health, Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | CURE Survey (Lopatto) — Attitudes Toward Science |
iditemperiodresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("cure_data")
# Python
pip install irw
import irw
df = irw.fetch("cure_data")
| 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 |