2,603 responses from 137 respondents to 19 items.
| Description | Psychometric evaluation of the COVID-19 Multifaceted Threat Scale using inductive qualitative methodology |
|---|---|
| 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 | 2,603 |
|---|---|
| Respondents | 137 |
| Items | 19 |
| Response categories | 8 |
| Responses per respondent | 19 |
| Responses per item | 137 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| construct type | Affective/mental health |
| 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 using inductive qualitative methodology |
cov_agecov_country_borncov_country_livecov_employment_statuscov_fieldcov_financial_concerncov_gendercov_keep_jobcov_social_distancingcov_workplaceiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("xue_2024_full_dataset")
# Python
pip install irw
import irw
df = irw.fetch("xue_2024_full_dataset")
| 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 |