johannisson_2016_ipip_neo
24,000 responses from 200 respondents to 120 items.
About this table
| Description | 120-item IPIP-NEO personality inventory (1-5 Likert), n=200 |
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| Reference | Johannisson (2016). Correlations between personality traits and specific groups of alpha waves in the human EEG. PeerJ. |
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| DOI | 10.7717/peerj.2245 |
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| Licence | CC BY 4.0 |
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| Source data | https://europepmc.org/article/PMC/PMC4957988 |
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Size and shape
| Responses | 24,000 |
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| Respondents | 200 |
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| Items | 120 |
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| Response categories | 5 |
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| Responses per respondent | 120 |
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| Responses per item | 200 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | swe |
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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 | IPIP-NEO-120 (120-item International Personality Item Pool representation of the NEO-PI-R) |
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| Mean words per item | 4.558 |
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| Mean characters per item | 26.258 |
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| Mean characters per response | 19.800 |
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| Flesch-Kincaid grade level | 4.546 |
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Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("johannisson_2016_ipip_neo")
# Python
pip install irw
import irw
df = irw.fetch("johannisson_2016_ipip_neo")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_4 v7.0 |
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| Redivis dataset DOI | 10.57761/cpj5-vm97 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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