8,280 responses from 138 respondents to 60 items.
| Description | Hexaco 60 item personality inventory |
|---|---|
| Reference | Ranđelović, M., Jokic, B., & Purić, D. (2023). Are dimensions of interoceptive awareness the same for everyone? Serbian validation of MAIA-2 in samples with differing mind-body practice experience. https://osf.io/preprints/psyarxiv/8fdma |
| DOI | 10.31234/osf.io/8fdma |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/em3wf/ |
| Responses | 8,280 |
|---|---|
| Respondents | 138 |
| Items | 60 |
| Response categories | 5 |
| Responses per respondent | 60 |
| Responses per item | 138 |
| Density | 1 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | srp |
| construct name | HEXACO 60-Item Personality Inventory |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Hexaco 60 item personality inventory |
|---|---|
| Mean words per item | 9.951 |
| Mean characters per item | 58.230 |
| Mean characters per response | 59.882 |
| Flesch-Kincaid grade level | 12.641 |
dateiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("SV-MAIA2_Randelovic_2021_hexaco60")
# Python
pip install irw
import irw
df = irw.fetch("SV-MAIA2_Randelovic_2021_hexaco60")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |