28,860 responses from 481 respondents to 60 items.
| Description | Padua Inventory (60 items, OCD symptoms), Japanese sample |
|---|---|
| Reference | Iwasa K, Tanaka T, Yamada Y (2016). Factor Structure, Reliability, and Validity of the Japanese Version of the Disgust Propensity and Sensitivity Scale-Revised. PLOS ONE, 11(10), e0164630. https://doi.org/10.1371/journal.pone.0164630 |
| DOI | 10.1371/journal.pone.0164630 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0164630.s001 |
| Responses | 28,860 |
|---|---|
| Respondents | 481 |
| Items | 60 |
| Response categories | 5 |
| Responses per respondent | 60 |
| Responses per item | 481 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | jpn |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Padua Inventory (Sanavio, 1988), 60-item version |
|---|---|
| Mean words per item | 15.417 |
| Mean characters per item | 83.217 |
| Mean characters per response | 7.200 |
| Flesch-Kincaid grade level | 7.505 |
cov_agecov_sexiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("iwasa_2016_padua_inventory")
# Python
pip install irw
import irw
df = irw.fetch("iwasa_2016_padua_inventory")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |