brederecke_2020_sis

15,037 responses from 1,367 respondents to 11 items.

One of 2 tables from the same source; this one is the sis table. The others are listed under Related tables.

About this table

DescriptionPsychometric properties of the German version of the Self-Image Scale (SIS) and PHQ-4
ReferenceBrederecke, J., Scott, J. L., de Zwaan, M. et al. (2020). Psychometric properties of the German version of the Self-Image Scale (SIS). PLOS ONE. https://doi.org/10.1371/journal.pone.0230331
DOI10.1371/journal.pone.0230331
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0230331

Size and shape

Responses15,037
Respondents1,367
Items11
Response categories5
Responses per respondent11
Responses per item1,367
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ger

Item text

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

InstrumentSelf-Image Scale, German version (SIS-D)
Mean words per item14.273
Mean characters per item88.818
Mean characters per response7.400
Flesch-Kincaid grade level5.106

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, brederecke_2020_self_image.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).ID
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate Age
cov_nationalityCovariate 1 = Deutsch · 2 = not GermanNationality
cov_sexCovariate 1 = male · 2 = femaleSex

Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled 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("brederecke_2020_sis")
# Python
pip install irw

import irw
df = irw.fetch("brederecke_2020_sis")

How to cite

@article{Brederecke_2020, title={Psychometric properties of the German version of the Self-Image Scale (SIS-D)}, volume={15}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0230331}, DOI={10.1371/journal.pone.0230331}, number={3}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Brederecke, Jan and Scott, Jennifer L. and de Zwaan, Martina and Brähler, Elmar and Neuner, Frank and Quinn, Michael and Zimmermann, Tanja}, editor={Hoefer, Stefan}, year={2020}, month=Mar, pages={e0230331} }

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse_3 v13.0
Redivis dataset DOI10.57761/gpg7-sg87
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v43.0