4,490 responses from 449 respondents to 10 items.
| Description | Paranoia and Deservedness Scale items (Study 1) |
|---|---|
| Reference | Alsuhibani A, Shevlin M, Freeman D, Sheaves B, Bentall RP (2022). Why conspiracy theorists are not always paranoid: Conspiracy theories and paranoia form separate factors with distinct psychological predictors. PLOS ONE, 17(4), e0259053. https://doi.org/10.1371/journal.pone.0259053 |
| DOI | 10.1371/journal.pone.0259053 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0259053.s002 |
| Responses | 4,490 |
|---|---|
| Respondents | 449 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 10 |
| Responses per item | 449 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Revised Paranoia and Deservedness Scale (PaDS-R) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Paranoia and Deservedness Scale (PaDS), P scale |
|---|---|
| Mean words per item | 11.200 |
| Mean characters per item | 61.500 |
| Mean characters per response | 17.600 |
| Flesch-Kincaid grade level | 6.478 |
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("alsuhibani_2022_pads_s1")
# Python
pip install irw
import irw
df = irw.fetch("alsuhibani_2022_pads_s1")
| 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 |