349,860 responses from 5,831 respondents to 60 items.
| Description | Schizotypy (Wisconsin Schizotypy Scales–Short Forms) with n=5831 |
|---|---|
| Reference | Christensen, A.P., Kenett, Y.N., Aste, T. et al. Network structure of the Wisconsin Schizotypy Scales–Short Forms: Examining psychometric network filtering approaches. Behav Res 50, 2531–2550 (2018). |
| DOI | 10.3758/s13428-018-1032-9 |
| Licence | CC0 1.0 |
| Source data | https://osf.io/c6rqy/overview |
| Responses | 349,860 |
|---|---|
| Respondents | 5,831 |
| Items | 60 |
| Response categories | 2 |
| Responses per respondent | 60 |
| Responses per item | 5,831 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Schizotypy (Wisconsin Schizotypy Scales–Short Forms) with n=5831 |
cov_ethniccov_sexiditemitemcov_subscaleresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("christensen_2018_wsssf_5831")
# Python
pip install irw
import irw
df = irw.fetch("christensen_2018_wsssf_5831")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v4.0 |
| Redivis dataset DOI | 10.57761/yvjw-0981 |
| Manifest pin for this IRW version | v4.0 |
| Metadata source | irw_meta v23.0 |