10,153,410 responses from 1,015,341 respondents to 10 items.
| Description | The personality test was constructed with the "Big-Five Factor Markers" from the IPIP. https://ipip.ori.org/newBigFive5broadKey.htm IPIP-FFM-data-8Nov2018.zip |
|---|---|
| Reference | Goldberg, L. R. (1992). The development of markers for the Big-Five factor structure. Psychological assessment, 4(1), 26. |
| DOI | 10.1037/1040-3590.4.1.26 |
| Licence | CC BY 4.0 |
| Source data | https://openpsychometrics.org/_rawdata/ |
| Responses | 10,153,410 |
|---|---|
| Respondents | 1,015,341 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 10 |
| Responses per item | 1,015,341 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Big Five Personality Test -Conscientiousness |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | The personality test was constructed with the "Big-Five Factor Markers" from the IPIP. https://ipip.ori.org/newBigFive5broadKey.htm IPIP-FFM-data-8Nov2018.zip |
|---|---|
| Mean words per item | 5.400 |
| Mean characters per item | 26.200 |
| Mean characters per response | 10.200 |
| Flesch-Kincaid grade level | 2.249 |
iditemresprt
This table is larger than Redivis serves without a login, so download it with one of the packages below or while signed in to Redivis.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ffm_CSN")
# Python
pip install irw
import irw
df = irw.fetch("ffm_CSN")
| 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 |