39,879 responses from 1,899 respondents to 21 items.
One of 5 tables from the same source; this one measures Beck Anxiety Inventory (BAI). The others are listed under Related tables.
| Description | Beck Anxiety Inventory (21 items), 0-3; 1,899 adults in Bangladesh, May-June 2021; cov_sex, cov_age, cov_education, cov_mental_history, cov_division, cov_urban, cov_living_with, cov_profession, cov_frontliner, cov_married, cov_has_children, cov_covid_infected, cov_family_covid, cov_family_covid_death, cov_vaccinated, cov_vaccine_interest (codes; labels in the .sav). |
|---|---|
| Reference | Islam, M. (2021). Modifiable and nonmodifiable factors associated with anxiety, depression, and stress after one year of the COVID-19 pandemic [Data set]. Mendeley Data, V1. https://doi.org/10.17632/6szgbkpzn8.1 |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/6szgbkpzn8/1 |
| Responses | 39,879 |
|---|---|
| Respondents | 1,899 |
| Items | 21 |
| Response categories | 4 |
| Responses per respondent | 21 |
| Responses per item | 1,899 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ben |
| construct name | Beck Anxiety Inventory (BAI) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, islam_2021_covid_mental_health.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). | NewID |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | Q3 |
cov_covid_infected | Covariate | Q17 |
cov_division | Covariate | Q6 |
cov_education | Covariate | Q4 |
cov_family_covid | Covariate | Q20 |
cov_family_covid_death | Covariate | Q21 |
cov_frontliner | Covariate | Q10 |
cov_has_children | Covariate | Q14 |
cov_living_with | Covariate | Q8 |
cov_married | Covariate | Q13 |
cov_mental_history | Covariate | Q5 |
cov_profession | Covariate | Q9 |
cov_sex | Covariate | Q2 |
cov_urban | Covariate | Q7 |
cov_vaccinated | Covariate | Q22 |
cov_vaccine_interest | Covariate | Q23 |
What item codes and covariate values stand for is in the codebook released with the source data.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("islam_2021_bai")
# Python
pip install irw
import irw
df = irw.fetch("islam_2021_bai")
@misc{https://doi.org/10.17632/6szgbkpzn8.1,
doi = {10.17632/6SZGBKPZN8.1},
url = {https://data.mendeley.com/datasets/6szgbkpzn8/1},
author = {{Azharul Islam}},
title = {Modifiable and nonmodifiable factors associated with anxiety, depression, and stress after one year of the COVID-19 pandemic },
publisher = {Mendeley},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |