pierro_2018_assessment_s3

1,020 responses from 85 respondents to 12 items.

About this table

Description12-item Assessment Regulatory Mode Scale (1-6 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

Responses1,020
Respondents85
Items12
Response categories6
Responses per respondent12
Responses per item85
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
construct typePersonality
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ita
construct nameAssessment Regulatory Mode Scale (Italian version)

Item text

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

InstrumentRegulatory Mode Questionnaire (RMQ) — Assessment scale
Mean words per item11.250
Mean characters per item65.667
Mean characters per response6.500
Flesch-Kincaid grade level8.414

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_assessment_s3")
# Python
pip install irw

import irw
df = irw.fetch("pierro_2018_assessment_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