27,594 responses from 3,066 respondents to 9 items.
| Description | Nine-item over-purchasing (COVID-19 stockpiling) measure from a UK/Republic of Ireland general-population survey during the early phase of the pandemic; 3,066 respondents rating how much they increased purchasing of tinned food, water, sanitary products, toilet roll, dried foods, bread, pharmacy products, batteries and fuel on a 1-5 scale. Item text shipped. |
|---|---|
| Reference | Bentall RP, Lloyd A, Bennett K, McKay R, Mason L, Murphy J, et al. (2021). Pandemic buying: Testing a psychological model of over-purchasing and panic buying using data from the United Kingdom and the Republic of Ireland during the early phase of the COVID-19 pandemic. PLOS ONE 16(1): e0246339. |
| DOI | 10.1371/journal.pone.0246339 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0246339 |
| Responses | 27,594 |
|---|---|
| Respondents | 3,066 |
| Items | 9 |
| Response categories | 5 |
| Responses per respondent | 9 |
| Responses per item | 3,066 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Over-purchasing (nine-item COVID-19 stockpiling measure) |
|---|---|
| Mean words per item | 2.778 |
| Mean characters per item | 20.444 |
| Mean characters per response | 14.800 |
| Flesch-Kincaid grade level | 7.432 |
cov_agecov_anxiety_diagnosiscov_at_risk_condition_familycov_at_risk_condition_selfcov_countrycov_covid_anxiety_0_100cov_depression_diagnosiscov_gendercov_income_bandcov_infected_othercov_infected_selfcov_lost_incomecov_n_adultscov_n_childrencov_neighbourhood_belongingcov_neighbourhood_trust_keyscov_neighbourhood_trust_shoppingcov_perceived_risk_1monthiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("bentall_2021_over_purchasing")
# Python
pip install irw
import irw
df = irw.fetch("bentall_2021_over_purchasing")
@article{Bentall_2021, title={Pandemic buying: Testing a psychological model of over-purchasing and panic buying using data from the United Kingdom and the Republic of Ireland during the early phase of the COVID-19 pandemic}, volume={16}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0246339}, DOI={10.1371/journal.pone.0246339}, number={1}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Bentall, Richard P. and Lloyd, Alex and Bennett, Kate and McKay, Ryan and Mason, Liam and Murphy, Jamie and McBride, Orla and Hartman, Todd K. and Gibson-Miller, Jilly and Levita, Liat and Martinez, Anton P. and Stocks, Thomas V. A. and Butter, Sarah and Vallières, Frédérique and Hyland, Philip and Karatzias, Thanos and Shevlin, Mark}, editor={Sudzina, Frantisek}, year={2021}, month=Jan, pages={e0246339} }
| IRW version | v407 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v3.2 |
| Redivis dataset DOI | 10.57761/yvkw-nj32 |
| Manifest pin for this IRW version | v3.2 |
| Metadata source | irw_meta v24.0 |