opladen2025_wi
2,940 responses from 210 respondents to 14 items.
About this table
| Description | Body image scale WI (14 items, binary 1-2); German clinical sample BN/BDD/IAD N≈210 |
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| Reference | Opladen, V., Vivell, M.-B., & Hirschfeld, G. (2025). The Body in Focus [Dataset]. OSF. https://osf.io/58xb9/ |
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| DOI | https://osf.io/58xb9/ |
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| Licence | CC0 1.0 |
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| Source data | https://osf.io/58xb9/ |
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Size and shape
| Responses | 2,940 |
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| Respondents | 210 |
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| Items | 14 |
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| Response categories | 2 |
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| Responses per respondent | 14 |
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| Responses per item | 210 |
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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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| sample | Clinical |
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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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Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Whiteley Index (WI-14) |
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| Mean words per item | 5.286 |
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| Mean characters per item | 33.929 |
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| Mean characters per response | 3 |
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| Flesch-Kincaid grade level | 63.179 |
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Columns
cov_agecov_conditioncov_samplecov_sexiditemresp
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("opladen2025_wi")
# Python
pip install irw
import irw
df = irw.fetch("opladen2025_wi")
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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