39,842 responses from 333 respondents to 123 items.
| Description | Psychometric evaluation of the COVID-19 Multifaceted Threat Scale: exploratory factor analysis |
|---|---|
| Reference | Anderson, J., Politi, E., Lueders, A., Green, E., & Sankaran, S. (2021, August 25). The COVID-19 Multifaceted Threat Scale: Development and Psychometric Properties. Retrieved from osf.io/dx2eg |
| DOI | 10.31234/osf.io/jfgvr |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/dx2eg/ |
| Responses | 39,842 |
|---|---|
| Respondents | 333 |
| Items | 123 |
| Response categories | 7 |
| Responses per respondent | 119.646 |
| Responses per item | 323.919 |
| Density | 0.973 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Psychometric evaluation of the COVID-19 Multifaceted Threat Scale: exploratory factor analysis |
cov_agecov_country_birthcov_country_residencecov_covid_financial_impactcov_covid_social_distancingcov_employment_fieldcov_employment_statuscov_employment_wfhcov_emplyoment_joblosscov_genderiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("xue_2024_study2_efa")
# Python
pip install irw
import irw
df = irw.fetch("xue_2024_study2_efa")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |