365,077 responses from 2,017 respondents to 181 items.
| Description | Data from an interactive personality test that combines the scales from 8 different well regarded tests into one. |
|---|---|
| Reference | Yarkoni, T. (2010). The abbreviation of personality, or how to measure 200 personality scales with 200 items. Journal of Research in Personality, 44, 180-198. |
| DOI | 10.1016/j.jrp.2010.01.002 |
| Licence | CC BY 4.0 |
| Source data | http://openpsychometrics.org/_rawdata/ |
| Responses | 365,077 |
|---|---|
| Respondents | 2,017 |
| Items | 181 |
| Response categories | 7 |
| Responses per respondent | 181 |
| Responses per item | 2,017 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Personality |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Analog to Multiple Broadband Inventories (AMBI) |
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 1 collection. Each membership records how it was decided:
response_time — by ruleMembership 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.
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Analog to Multiple Broadband Inventories (AMBI) |
|---|---|
| Mean words per item | 7.083 |
| Mean characters per item | 35.337 |
| Mean characters per response | 11.714 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, broadband_inventories.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.
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("broadband_inventories")
# Python
pip install irw
import irw
df = irw.fetch("broadband_inventories")
Or in Stata, which reads the same no-account CSV as the button above:
* Stata
net install irw, from("https://raw.githubusercontent.com/itemresponsewarehouse/Stata-pkg/main/")
irw_fetch broadband_inventories, clear
@article{Yarkoni_2010, title={The abbreviation of personality, or how to measure 200 personality scales with 200 items}, volume={44}, ISSN={0092-6566}, url={http://dx.doi.org/10.1016/j.jrp.2010.01.002}, DOI={10.1016/j.jrp.2010.01.002}, number={2}, journal={Journal of Research in Personality}, publisher={Elsevier BV}, author={Yarkoni, Tal}, year={2010}, month=apr, pages={180–198} }
| IRW version | v707 |
|---|---|
| Redivis dataset | item_response_warehouse v81.0 |
| Redivis dataset DOI | 10.57761/5sed-tj46 |
| Manifest pin for this IRW version | v81.0 |
| Metadata source | irw_meta v66.0 |