personality_handwriting__financial_behavior
4,795 responses from 402 respondents to 12 items.
About this table
| Description | Financial attitudes and personality Likert items (12 items, 1-5; N=402). |
| Reference | Thomas S (2026). Data for understanding personality and financial behaviour using handwriting. Harvard Dataverse. https://doi.org/10.7910/DVN/2IBLRK |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/2IBLRK |
Size and shape
| Responses | 4,795 |
| Respondents | 402 |
| Items | 12 |
| Response categories | 5 |
| Responses per respondent | 11.928 |
| Responses per item | 399.583 |
| Density | 0.994 |
| Longitudinal | FALSE |
Classification
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
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("personality_handwriting__financial_behavior")
# Python
pip install irw
import irw
df = irw.fetch("personality_handwriting__financial_behavior")
Version and provenance
| IRW version | v393 |
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |