medvedev_2018_pan
3,460 responses from 173 respondents to 20 items.
About this table
| Description | 20-item PANAS positive/negative affect schedule (1-5 Likert), same sample as medvedev_2018_oxh |
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| Reference | Medvedev ON (2018). Exploring constructs of well-being, happiness and quality of life. PeerJ. |
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| DOI | 10.7717/peerj.4903 |
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| Licence | CC BY 4.0 |
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| Source data | https://europepmc.org/article/PMC/PMC5985772 |
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Size and shape
| Responses | 3,460 |
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| Respondents | 173 |
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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 | 173 |
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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) | eng |
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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) |
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| Mean words per item | 1 |
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| Mean characters per item | 7.400 |
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| Mean characters per response | 13 |
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| Flesch-Kincaid grade level | 52.320 |
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Columns
cov_agecov_ethnicitycov_genderiditemresp
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("medvedev_2018_pan")
# Python
pip install irw
import irw
df = irw.fetch("medvedev_2018_pan")
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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