2,990 responses from 299 respondents to 10 items.
One of 4 tables from the same source; this one is the emo_pos table. The others are listed under Related tables.
| Description | Current intensity of 10 positive emotions (automatic and reflective), 1-7, rated by 299 Polish adults at the start of the COVID-19 pandemic |
|---|---|
| Reference | Modzelewska, A., & Imbir, K. K. (2021). Interoceptive awareness and beliefs about health and the body as predictors of the intensity of emotions experienced at the beginning of the pandemic. PeerJ, 9, e12542. |
| DOI | 10.7717/peerj.12542 |
| Licence | CC BY 4.0 |
| Source data | https://europepmc.org/article/PMC/PMC8706328 |
| Responses | 2,990 |
|---|---|
| Respondents | 299 |
| Items | 10 |
| Response categories | 7 |
| Responses per respondent | 10 |
| Responses per item | 299 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | General/non-specific |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | pol |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Assessment of experienced emotions (Modzelewska & Imbir, 2021): positive emotions, automatic and reflective |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 9.100 |
| Mean characters per response | 7.143 |
| Flesch-Kincaid grade level | 22.560 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, modzelewska_2021_interoception.py. 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 |
| Respondent covariates | ||
cov_age | Covariate | Age |
cov_chronic_illness | Covariate 1 = yes · 2 = no | illnesses |
cov_education | Covariate 2 = elementary · 4 = high school · 5 = higher | Education |
cov_gender | Covariate 1 = women · 2 = men · 3 = other | Gender |
cov_had_covid | Covariate 1 = yes · 2 = no | COVID_experience |
cov_income_eval | Covariate 1 = very good · 2 = good · 3 = moderate · 4 = bad · 5 = very bad | income_evaluation |
cov_income_stable | Covariate 1 = yes · 2 = no | income_source |
cov_knows_covid_case | Covariate 1 = yes · 2 = no | knowing_COVID_illed |
cov_place | Covariate 1 = country · 2 = city below 50,000 residents · 3 = city 50 - 500 thousand residents · 4 = city 500,000 - 1 million inhabitants · 5 = city pow. 1 million inhabitants | Place |
Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled values stand for is in the source’s questionnaire, peerj-09-12542-s004.docx, which shows the item wording.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("modzelewska_2021_emo_pos")
# Python
pip install irw
import irw
df = irw.fetch("modzelewska_2021_emo_pos")
@article{Modzelewska_2021, title={Interoceptive awareness and beliefs about health and the body as predictors of the intensity of emotions experienced at the beginning of the pandemic}, volume={9}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.12542}, DOI={10.7717/peerj.12542}, journal={PeerJ}, publisher={PeerJ}, author={Modzelewska, Aleksandra and Imbir, Kamil K.}, year={2021}, month=Dec, pages={e12542} }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v44.0 |