16_personalityfactors
8,012,917 responses from 49,159 respondents to 163 items.
About this table
| Description | Personality assessment |
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| Reference | Catell's 16 Personality Factors Test [dataset and codebook]. http://openpsychometrics.org/_rawdata/16PF.zip |
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| Licence | CC BY 4.0 |
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| Source data | http://openpsychometrics.org/_rawdata/ |
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Size and shape
| Responses | 8,012,917 |
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| Respondents | 49,159 |
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| Items | 163 |
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| Response categories | 5 |
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| Responses per respondent | 163 |
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| Responses per item | 49,159 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| sample | General/non-specific |
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| construct type | Personality |
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| measurement tool | Test |
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| item format | Likert Scale/selected response |
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| primary language(s) | eng |
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| construct name | Cattell's 16 personality factors |
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Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Cattell's 16 Personality Factors Test (IPIP-keyed scales) |
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| Mean words per item | 5.595 |
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| Mean characters per item | 27.742 |
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| Mean characters per response | 14 |
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| Flesch-Kincaid grade level | 3.723 |
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Get the data
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("16_personalityfactors")
# Python
pip install git+https://github.com/itemresponsewarehouse/Python-pkg.git
import irw
df = irw.fetch("16_personalityfactors")
Browse or download it directly on Redivis, or take the Croissant description of this table for use with Hugging Face, Kaggle or OpenML.
Version and provenance
| IRW version | v332 |
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| Redivis dataset | item_response_warehouse v47.0 |
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| Redivis dataset DOI | 10.57761/3jrw-s263 |
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| Manifest pin for this IRW version | v46.0 |
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| Metadata source | irw_meta v19.3 |
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