gahps_korner_2021

15,946 responses from 1,139 respondents to 14 items.

About this table

DescriptionThe authentic and hubristic pride (A&HP) model is the domineering paradigm in pride research. Authentic pride (AP) comprises feelings of accomplishment and self-worth, whereas hubristic pride (HP) includes conceit and arrogance. We provide a German version of the A&HP scalethe GAHPS.
ReferenceKörner, R., & Schütz, A. (2022, June 23). German Authentic and Hubristic Pride Scales (GAHPS). Retrieved from osf.io/eh7r4
DOI10.1027/1015-5759/a000684
LicenceCC BY 4.0
Source datahttps://osf.io/eh7r4/overview

Size and shape

Responses15,946
Respondents1,139
Items14
Response categories5
Responses per respondent14
Responses per item1,139
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
construct typePersonality
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ger
construct nameGerman Authentic and Hubristic Pride Scales (GAHPS)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, gahps_korner_2021.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).code
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate age
cov_genderCovariate gender
Other columns
studyNot documented Not documented by the IRW; see the source’s codebook.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("gahps_korner_2021")
# Python
pip install irw

import irw
df = irw.fetch("gahps_korner_2021")

How to cite

@article{K_rner_2023, title={The German Standard and Short Authentic and Hubristic Pride 					Scales: Psychometric Properties, Validity Testing, Self-Other Agreement, and 					Linguistic Correlates}, volume={39}, ISSN={2151-2426}, url={http://dx.doi.org/10.1027/1015-5759/a000684}, DOI={10.1027/1015-5759/a000684}, number={1}, journal={European Journal of Psychological Assessment}, publisher={Hogrefe Publishing Group}, author={Körner, Robert and Schütz, Astrid}, year={2023}, month=jan, pages={61–72} }

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse_2 v33.0
Redivis dataset DOI10.57761/6m04-m698
Manifest pin for this IRW versionv33.0
Metadata sourceirw_meta v43.0