About this table

Description	Psychosomatic Competence Inventory field-test version (65 items, 6-point agreement) completed by 103 Austrian adults in German; the final PSCI keeps 44 of these items in six scales.
Reference	Fazekas, C., Avian, A., Noehrer, R., Matzer, F., Vajda, C., Hannich, H., & Neubauer, A. (2022). Interoceptive awareness and self-regulation contribute to psychosomatic competence as measured by a new inventory. Wiener klinische Wochenschrift, 134(15-16), 581-592. https://doi.org/10.1007/s00508-020-01670-5
DOI	10.1007/s00508-020-01670-5
Licence	CC BY 4.0
Source data	https://zenodo.org/records/2643228

Size and shape

Responses	6,695
Respondents	103
Items	65
Response categories	6
Responses per respondent	65
Responses per item	103
Density	1
Longitudinal	FALSE

Classification

age range	Adult (18+)
sample	General/non-specific
construct type	Affective/mental health, Personality
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	ger
construct name	Psychosomatic competence (interoceptive awareness, self-regulation)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, fazekas_2019_psci.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.

Column	What it is	Source column
IRW standard columns
`id`	IRW 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
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_age`	Covariate	`Age`
`cov_education`	Covariate `2` = second step of basic education · `3` = upper secondary education, which provides direct access to tertiary education · `4` = tertiary education	`Highest_educational`
`cov_employed`	Covariate `1` = employed · `2` = not employed	`Employment_status`
`cov_living`	Covariate `1` = living alone · `2` = living with partner and/or children · `3` = living in a shared apartment · `4` = living with parents or relatives	`Living_situation`
`cov_marital`	Covariate `1` = unmarried · `2` = marreid · `3` = divorced · `4` = widowed	`Marital_status`
`cov_sex`	Covariate `1` = male · `2` = female	`sex`
`cov_smoker`	Covariate `1` = smoker	`smoking`

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 needed Browse on Redivisexplore and query Croissant 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("fazekas_2019_psci")

# Python
pip install irw

import irw
df = irw.fetch("fazekas_2019_psci")

How to cite

@article{Fazekas_2020, title={Interoceptive awareness and self-regulation contribute to psychosomatic competence as measured by a new inventory}, volume={134}, ISSN={1613-7671}, url={http://dx.doi.org/10.1007/s00508-020-01670-5}, DOI={10.1007/s00508-020-01670-5}, number={15-16}, journal={Wiener klinische Wochenschrift}, publisher={Springer Science and Business Media LLC}, author={Fazekas, Christian and Avian, Alexander and Noehrer, Rita and Matzer, Franziska and Vajda, Christian and Hannich, Hans and Neubauer, Aljoscha}, year={2020}, month=May, pages={581–592} }

Version and provenance

IRW version	v584
Redivis dataset	item_response_warehouse_6 v5.11
Redivis dataset DOI	10.57761/qahq-j855
Manifest pin for this IRW version	v5.11
Metadata source	irw_meta v44.0