wolters2026_panas_pa
830 responses from 83 respondents to 10 items.
About this table
| Description | PANAS positive affect subscale from a German RCT on digital health literacy (N=83, 10 items, 1-5). |
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| Reference | Wolters, C. et al. (2026). Online health research and cyberchondria RCT data [Dataset]. figshare. https://doi.org/10.6084/m9.figshare.32044005.v1 |
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| Licence | CC BY 4.0 |
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| Source data | https://figshare.com/articles/dataset/32044005 |
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Size and shape
| Responses | 830 |
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| Respondents | 83 |
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| Items | 10 |
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| Response categories | 5 |
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| Responses per respondent | 10 |
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| Responses per item | 83 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | ger |
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Columns
cov_agecov_educationcov_genderiditemresptreat
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("wolters2026_panas_pa")
# Python
pip install irw
import irw
df = irw.fetch("wolters2026_panas_pa")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_2 v19.0 |
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| Redivis dataset DOI | 10.57761/qtx5-4m80 |
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| Manifest pin for this IRW version | v19.0 |
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| Metadata source | irw_meta v23.0 |
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