pierro_2018_selfforgive_s3

340 responses from 85 respondents to 4 items.

About this table

Description4-item Self-forgiveness scale (1-4 scale), Study 3 of a four-study paper on regulatory modes and self-forgiveness (N=85).
ReferencePierro A, Pica G, Giannini A, Higgins E, Kruglanski A (2018) "Letting myself go forward past wrongs": How regulatory modes affect self-forgiveness. PLoS ONE.
DOI10.1371/journal.pone.0193357
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0193357.s003

Size and shape

Responses340
Respondents85
Items4
Response categories4
Responses per respondent4
Responses per item85
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ita
construct nameState Self-Forgiveness Scale (SFS) - feeling subscale

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentState Self-Forgiveness Scale (SSFS; Wohl, DeShea & Wahkinney, 2008), 4 items derived from the feeling subscale
Mean words per item4.750
Mean characters per item26.750
Mean characters per response6
Flesch-Kincaid grade level5.515

Columns

cov_agecov_genderiditemresp

Get the data

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

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("pierro_2018_selfforgive_s3")
# Python
pip install irw

import irw
df = irw.fetch("pierro_2018_selfforgive_s3")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_4 v7.0
Redivis dataset DOI10.57761/cpj5-vm97
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0