fcupanas_cffsdas_reyna_2018_7pt

6,249 responses from 316 respondents to 20 items.

One of 2 tables from the same source; this one is the 2018_7pt table. The others are listed under Related tables.

About this table

DescriptionPositive and Negative Affect Schedule (PANAS), 20 items, Study 3 only, which used a 1-7 response scale. Split from fcupanas_cffsdas_reyna_2018 (#2436), where the 1-5 filter had set these 6-7 responses to NA.
ReferenceReyna, 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
DOI10.14349/sumapsi.2018.v25.n2.5
LicenceCC BY-SA 4.0
Source datahttps://osf.io/h3tfc/

Size and shape

Responses6,249
Respondents316
Items20
Response categories7
Responses per respondent19.775
Responses per item312.450
Density0.989
LongitudinalFALSE

Classification

measurement toolSurvey/questionnaire
item formatLikert Scale/selected response

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, fcupanas_cffsdas_reyna_2018.r. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).ID
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate Age
cov_educationalCovariate neducativo
cov_groupCovariate not traced
cov_sexCovariate Sex

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("fcupanas_cffsdas_reyna_2018_7pt")
# Python
pip install irw

import irw
df = irw.fetch("fcupanas_cffsdas_reyna_2018_7pt")

How to cite

@article{Caicedo_Cavagnis_2018, title={Further considerations regarding PANAS: Contributions from four studies with different Argentinean samples}, volume={25}, ISSN={0121-4381}, url={http://dx.doi.org/10.14349/sumapsi.2018.v25.n2.5}, DOI={10.14349/sumapsi.2018.v25.n2.5}, number={2}, journal={Suma Psicológica}, publisher={Fundacion Universitaria Konrad Lorenz}, author={Caicedo Cavagnis, Estefanía and Michelini, Yanina and Belaus, Anabel and Mola, Débora Jeanette and Godoy, Juan Carlos and Reyna, Cecilia}, year={2018}, month=Dec, pages={133–145} }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse v74.0
Redivis dataset DOI10.57761/a1gm-m985
Manifest pin for this IRW versionv73.0
Metadata sourceirw_meta v44.0