Item Response Warehouse / Tables / manolika_2021_dirty_dozenmanolika_2021_dirty_dozen
4,632 responses from 386 respondents to 12 items.
About this table
Description Dirty Dozen dark-triad measure, 12 items, 1-5. 386 respondents x 12 items = 4632 responses. Reference Manolika, M. (2021). The Big Five and Beyond: Which Personality Traits Do Predict Movie and Reading Preferences? [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/23NDKX Licence CC0 1.0 Source data https://doi.org/10.7910/DVN/23NDKX
Size and shape
Responses 4,632 Respondents 386 Items 12 Response categories 5 Responses per respondent 12 Responses per item 386 Density 1 Longitudinal FALSE
Classification
age range Adult (18+) measurement tool Survey/questionnaire item format Likert Scale/selected response
Columns
cov_age cov_gender id item resp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("manolika_2021_dirty_dozen")
# Python
pip install irw
import irw
df = irw.fetch("manolika_2021_dirty_dozen")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_4 v7.0 Redivis dataset DOI 10.57761/cpj5-vm97 Manifest pin for this IRW version v7.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_4 v7.0.