53,641 responses from 944 respondents to 139 items.
| Description | Psychometric evaluation of the COVID-19 Multifaceted Threat Scale: confirmatory 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 | 53,641 |
|---|---|
| Respondents | 944 |
| Items | 139 |
| Response categories | 7 |
| Responses per respondent | 56.823 |
| Responses per item | 385.906 |
| Density | 0.409 |
| 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: confirmatory factor analysis |
cov_agecov_cfa_repcov_countrycov_covid_infectedcov_covid_stresscov_data_typecov_emp_filedcov_emp_statuscov_finance_threatcov_gendercov_gender_2cov_keep_jobcov_pcvd_sescov_pol_orcov_sd_practicecov_work_enviditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("xue_2024_study3_cfa")
# Python
pip install irw
import irw
df = irw.fetch("xue_2024_study3_cfa")
| 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 |