16,902 responses from 2,423 respondents to 7 items.
One of 5 tables from the same source; this one is the vitality table. The others are listed under Related tables.
| Description | Subjective Vitality Scale, 7 items on a 1-7 scale, 2,423 respondents, 16,902 responses. From the OSF deposit's SPSS file, April 2020, Leger LEO probability-based Canadian panel. Raw item columns only: the deposit's reverse-scored copies (suffix _r) and its per-scale composite (the bare prefix column) are excluded. Missing responses are genuine and dropped, not imputed -- the paper describes no imputation. |
|---|---|
| Reference | Amiot, C. E., Gagné, C., & Bastian, B. (2022). Pet ownership and psychological well-being during the COVID-19 pandemic. Scientific Reports, 12, 6091. https://doi.org/10.1038/s41598-022-10019-z |
| DOI | 10.1038/s41598-022-10019-z |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/56sbh/ |
| Responses | 16,902 |
|---|---|
| Respondents | 2,423 |
| Items | 7 |
| Response categories | 7 |
| Responses per respondent | 6.976 |
| Responses per item | 2414.571 |
| Density | 0.997 |
| Longitudinal | FALSE |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng, fre |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, amiot_2022_pets.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_band | Covariate 13 labelled values2 = 18 to 21 years old · 3 = 22 to 24 years old · 4 = 25 to 29 years old · 5 = 30 to 34 years old · 6 = 35 to 39 years old · 7 = 40 to 44 years old · 8 = 45 to 49 years old · 9 = 50 to 54 years old · 10 = 55 to 59 years old · 11 = 60 to 64 years old · 12 = 65 to 69 years old · 13 = 70 to 74 years old · 14 = 75 or older | age |
cov_education | Covariate 9 labelled values1 = Primary school diploma · 2 = High school diploma · 3 = Diploma of Collegial studies (CÉGEP) · 4 = Professional studies diploma · 5 = Bachelor’s degree · 6 = Master’s degree · 7 = Doctoral degree · 96 = Other, please specify: · 98 = Refusal | EDUC |
cov_gender | Covariate 1 = Male · 2 = Female · 96 = Other, please specify: | gender |
cov_income_band | Covariate 12 labelled values1 = Less than $20,000 · 2 = $20, 000 to $39, 999 · 3 = $40, 000 to $59, 999 · 4 = $60, 000 to $79, 999 · 5 = $80, 000 to $99, 999 · 6 = $100, 000 to $119, 999 · 7 = $120, 000 to $139, 999 · 8 = $140, 000 to $159, 999 · 9 = $160, 000 to $179, 999 · 10 = $180, 000 to $199, 999 · 11 = Over $200, 000 · 99 = I prefer not to answer | INCOME |
cov_pet_owner | Covariate 1 = Yes · 2 = No | petOwn |
cov_survey_language | Covariate 1 = English / Anglais · 2 = Français / French | Q0 |
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 codebook released with the source data.
Or load it directly in R or Python:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("amiot_2022_vitality")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("amiot_2022_vitality")
@article{Amiot_2022, title={Pet ownership and psychological well-being during the COVID-19 pandemic}, volume={12}, ISSN={2045-2322}, url={http://dx.doi.org/10.1038/s41598-022-10019-z}, DOI={10.1038/s41598-022-10019-z}, number={1}, journal={Scientific Reports}, publisher={Springer Science and Business Media LLC}, author={Amiot, Catherine E. and Gagné, Christophe and Bastian, Brock}, year={2022}, month=Apr }
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.9 |
| Redivis dataset DOI | 10.57761/vzgw-d311 |
| Manifest pin for this IRW version | v5.8 |
| Metadata source | irw_meta v37.0 |