lee_2024_panas
10,540 responses from 527 respondents to 20 items.
About this table
| Description | PANAS, 20 items, 1-5 scale, N=527 Korean community sample, with age/gender/subjective-health covariates |
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| Reference | Lee SJ, Cloninger CR, Chae H. (2024). The associations between well-being and Cloninger's personality dimensions in a Korean community sample. PeerJ. |
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| DOI | 10.7717/peerj.18379 |
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| Licence | CC BY 4.0 |
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| Source data | https://peerj.com/articles/18379/ |
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Size and shape
| Responses | 10,540 |
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| Respondents | 527 |
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| Items | 20 |
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| Response categories | 5 |
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| Responses per respondent | 20 |
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| Responses per item | 527 |
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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 | Educational |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | kor |
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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 | Positive and Negative Affect Schedule (PANAS), Korean version (Park & Lee, 2016) |
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| Mean words per item | 1 |
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| Mean characters per item | 2 |
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| Mean characters per response | 5 |
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| Flesch-Kincaid grade level | -3.400 |
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Columns
cov_agecov_gendercov_subjective_healthiditemresp
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("lee_2024_panas")
# Python
pip install irw
import irw
df = irw.fetch("lee_2024_panas")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_2 v19.0 |
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| Redivis dataset DOI | 10.57761/qtx5-4m80 |
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| Manifest pin for this IRW version | v19.0 |
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| Metadata source | irw_meta v23.0 |
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