849 responses from 85 respondents to 10 items.
| Description | 10-item Positive Affect scale (1-5 scale), Study 3 of a four-study paper on regulatory modes and self-forgiveness (N=85). |
|---|---|
| Reference | Pierro A, Pica G, Giannini A, Higgins E, Kruglanski A (2018) "Letting myself go forward past wrongs": How regulatory modes affect self-forgiveness. PLoS ONE. |
| DOI | 10.1371/journal.pone.0193357 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0193357.s003 |
| Responses | 849 |
|---|---|
| Respondents | 85 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 9.988 |
| Responses per item | 84.900 |
| Density | 0.999 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ita |
| construct name | Positive and Negative Affect Schedule (PANAS) - positive affect |
cov_agecov_genderiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("pierro_2018_posaffect_s3")
# Python
pip install irw
import irw
df = irw.fetch("pierro_2018_posaffect_s3")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |