mboya_2020_gds15
4,560 responses from 304 respondents to 15 items.
About this table
| Description | 15-item Geriatric Depression Scale, yes/no; adults aged 60+ in Kilimanjaro, Tanzania. 304 respondents x 15 items = 4560 responses. |
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| Reference | Mboya, I. (2020). Depression in elderly population [Data set]. Mendeley Data. https://doi.org/10.17632/btrrmwtfmh |
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| Licence | CC BY 4.0 |
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| Source data | https://data.mendeley.com/datasets/btrrmwtfmh |
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Size and shape
| Responses | 4,560 |
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| Respondents | 304 |
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| Items | 15 |
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| Response categories | 2 |
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| Responses per respondent | 15 |
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| Responses per item | 304 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Elderly (minimum age >50) |
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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) | swa |
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Columns
cov_agecov_age_bandcov_alcoholcov_asthmacov_close_contactscov_cognitive_impairmentcov_depression_historycov_diabetescov_educationcov_hypertensioncov_living_alonecov_marital_statuscov_occupationcov_perceived_concerncov_practical_helpcov_religious_activitycov_sexcov_social_activitycov_social_groupcov_stressful_eventcov_strokecov_tobaccoiditemresp
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("mboya_2020_gds15")
# Python
pip install irw
import irw
df = irw.fetch("mboya_2020_gds15")
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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