korner_2022_gpsps_s1

8,256 responses from 573 respondents to 8 items.

One of 5 tables from the same source; this one is the s1 table. The others are listed under Related tables.

About this table

DescriptionGerman Personal Sense of Power Scale (GPSPS), 8 items (1-7), 573 German adults (Study 1) with a ~6-week retest and a second retest as waves 2 and 3
ReferenceKörner, R., Heydasch, T., & Schütz, A. (2022). It's all about power: Validation of the German Personal Sense of Power Scale. European Journal of Psychological Assessment, 38(1), 36-48.
DOI10.1027/1015-5759/a000642
LicenceCC BY 4.0
Source datahttps://osf.io/jf9dz/

Size and shape

Responses8,256
Respondents573
Items8
Response categories7
Responses per respondent14.408
Responses per item1,032
Density1.801
LongitudinalTRUE

Classification

sampleInternet-based
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ger

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, korner_2022_gpsps.py. 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).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
waveIRW standard Longitudinal wave indicator.made in the build script
Respondent covariates
cov_ageCovariate made in the build script
cov_genderCovariate made in the build script

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("korner_2022_gpsps_s1")
# Python
pip install irw

import irw
df = irw.fetch("korner_2022_gpsps_s1")

How to cite

@article{K_rner_2022, title={It’s All About Power: Validation of Trait and State Versions of the German Personal Sense of Power Scale}, volume={38}, ISSN={2151-2426}, url={http://dx.doi.org/10.1027/1015-5759/a000642}, DOI={10.1027/1015-5759/a000642}, number={1}, journal={European Journal of Psychological Assessment}, publisher={Hogrefe Publishing Group}, author={Körner, Robert and Heydasch, Timo and Schütz, Astrid}, year={2022}, month=Jan, pages={36–48} }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_6 v5.10
Redivis dataset DOI10.57761/8zbf-t397
Manifest pin for this IRW versionv5.10
Metadata sourceirw_meta v39.0