3,660 responses from 305 respondents to 12 items.
| Description | Dark Triad Dirty Dozen (DTDD), Japanese version, 12 items |
|---|---|
| Reference | Daiku, Y., Serota, K. B., & Levine, T. R. (2021). A few prolific liars in Japan: Replication and the effects of Dark Triad personality traits. PLOS ONE. https://doi.org/10.1371/journal.pone.0249815 |
| DOI | 10.1371/journal.pone.0249815 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0249815 |
| Responses | 3,660 |
|---|---|
| Respondents | 305 |
| Items | 12 |
| Response categories | 5 |
| Responses per respondent | 12 |
| Responses per item | 305 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| 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 | Dark Triad Dirty Dozen, Japanese version (DTDD-J) |
|---|---|
| Mean words per item | 8.083 |
| Mean characters per item | 38.083 |
| Mean characters per response | 4.600 |
| Flesch-Kincaid grade level | 3.499 |
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("daiku_2021_dirty_dozen")
# Python
pip install irw
import irw
df = irw.fetch("daiku_2021_dirty_dozen")
| 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 |