ali_2021_gad7
1,170 responses from 168 respondents to 7 items.
About this table
| Description | 7-item GAD-7 anxiety screener (0-3 frequency scale), from a COVID-19 mental well-being survey of nurses in a tertiary hospital in Kenya (N=168). |
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| Reference | Ali S, Shah J, Talib Z (2021) COVID-19 and mental well-being of nurses in a tertiary facility in Kenya. PLoS ONE. |
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| DOI | 10.1371/journal.pone.0254074 |
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| Licence | CC BY 4.0 |
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| Source data | https://doi.org/10.1371/journal.pone.0254074.s001 |
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Size and shape
| Responses | 1,170 |
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| Respondents | 168 |
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| Items | 7 |
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| Response categories | 4 |
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| Responses per respondent | 6.964 |
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| Responses per item | 167.143 |
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| Density | 0.995 |
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| Longitudinal | FALSE |
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Classification
| sample | Workplace |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | eng |
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Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | GAD-7 (Generalized Anxiety Disorder 7-item scale; Spitzer et al., 2006) |
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| Mean words per item | 6.429 |
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| Mean characters per item | 37.857 |
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| Mean characters per response | 15.250 |
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| Flesch-Kincaid grade level | 6.846 |
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Columns
cov_age_catcov_genderiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ali_2021_gad7")
# Python
pip install irw
import irw
df = irw.fetch("ali_2021_gad7")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_4 v7.0 |
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| Redivis dataset DOI | 10.57761/cpj5-vm97 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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