One of 10 tables from the same source; this one measures Big Five Personality Test. The others are listed under Related tables.

About this table

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/

Classification

age range	Adult (18+)
sample	Educational
construct type	Cognitive/educational
measurement tool	Test
item format	Likert Scale/selected response
primary language(s)	eng
construct name	Big Five Personality Test

These are classifications the IRW records, not the study’s own words. Some were annotated by hand and some written by an automated tagger whose output is published only where it clears a measured accuracy bar; which values came from which is not recorded per table. Coverage and accuracy per column, and what is held back, are on Tag quality.

This table is in 2 collections. Each membership records how it was decided:

Big Five / FFM big_five — by rule
Response time response_time — by rule

Membership is the IRW’s judgment and is worth checking before you use a collection as a sample. A hand-curated list is a snapshot: it is not re-checked when tables are added, so a table that would qualify may be missing. See Collections.

Item text

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.htmIPIP-FFM-data-8Nov2018.zip
Mean words per item	6.100
Mean characters per item	30.600
Mean characters per response	10.200

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, ffm.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

Column	What it is	Source column
IRW standard columns
`id`	IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).	made in the build script
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
`rt`	IRW standard Response time.	made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Browse on Redivissign in to download

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 (no account needed with irw 1.4.0 or later) or Python (needs a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("irw")
library(irw)
df <- irw_fetch("ffm_EXT")

# Python
pip install irw

import irw
df = irw.fetch("ffm_EXT")

How to cite

@article{Goldberg_1992, title={The development of markers for the Big-Five factor structure.}, volume={4}, ISSN={1040-3590}, url={http://dx.doi.org/10.1037/1040-3590.4.1.26}, DOI={10.1037/1040-3590.4.1.26}, number={1}, journal={Psychological Assessment}, publisher={American Psychological Association (APA)}, author={Goldberg, Lewis R.}, year={1992}, month=mar, pages={26–42} }

Responses	10,069,172
Respondents	1,015,341
Items	10
Response categories	5
Responses per respondent	9.917
Responses per item	1006917.200
Density	0.992
Longitudinal	FALSE

IRW version	v674
Redivis dataset	item_response_warehouse v78.0
Redivis dataset DOI	10.57761/yzj1-v654
Manifest pin for this IRW version	v78.0
Metadata source	irw_meta v59.0

ffm_EXT