4,180 responses from 418 respondents to 10 items.
| Description | Binary yes/no history of criminal and analogous behaviors, such as theft or vandalism. |
|---|---|
| Reference | Pischel, M., & Hilbig, B. E. (2026). Measuring the dark factor of personality in French: Psychometric properties, measurement invariance, and predictive validity. European Journal of Psychological Assessment. Advance online publication. |
| DOI | 10.1027/1015-5759/a000956 |
| Licence | Permission via Email |
| Source data | https://osf.io/4fdw9/overview |
| Responses | 4,180 |
|---|---|
| Respondents | 418 |
| Items | 10 |
| Response categories | 2 |
| Responses per respondent | 10 |
| Responses per item | 418 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific, Internet-based |
| construct type | Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | fre |
| construct name | Crime and Analogous Behavior |
cov_agecov_agreementcov_countrycov_gendercov_lang_skillscov_languagecov_studycov_versioniditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("darkfactorfrench_pischel_2026_crime_analog")
# Python
pip install irw
import irw
df = irw.fetch("darkfactorfrench_pischel_2026_crime_analog")
| 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 |