32,720 responses from 805 respondents to 40 items.
| Description | Postivie and Negative Affect Schedule(PANAS) |
|---|---|
| Reference | Reyna, C., Michelini, Y., Caicedo Cavagnis, E., Mola, D., Belaus, A., & Godoy, J. C. (2022, August 4). Further considerations upon PANAS: Contributions from four studies with different Argentinean samples. Retrieved from osf.io/h3tfc |
| DOI | 10.14349/sumapsi.2018.v25.n2.5 |
| Licence | CC BY-SA 4.0 |
| Source data | https://osf.io/h3tfc/ |
| Responses | 32,720 |
|---|---|
| Respondents | 805 |
| Items | 40 |
| Response categories | 5 |
| Responses per respondent | 40.646 |
| Responses per item | 818 |
| Density | 1.016 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | General/non-specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
| construct name | Positive and Negative Affect Schedule (PANAS) |
cov_agecov_careercov_educationalcov_sexgroupiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("fcupanas_cffsdas_reyna_2018")
# Python
pip install irw
import irw
df = irw.fetch("fcupanas_cffsdas_reyna_2018")
| 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 |