Karim2022_tmoca_subscales_longitudinal
1,104 responses from 46 respondents to 12 items.
About this table
| Description | Binary MCI screening |
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| Reference | Karim, Mani A., and J Venkatachalam. “Construct Validity and Psychometric Properties of the Tamil (india) Version of T-moca.” OSF, 27 Oct. 2022. Web. |
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| Licence | CC BY 4.0 |
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| Source data | https://osf.io/f7nkg/overview |
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Size and shape
| Responses | 1,104 |
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| Respondents | 46 |
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| Items | 12 |
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| Response categories | 7 |
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| Responses per respondent | 24 |
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| Responses per item | 92 |
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| Density | 2 |
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| Longitudinal | TRUE |
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Classification
| age range | Elderly (minimum age >50) |
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| construct type | Cognitive/educational |
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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) | tam |
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| construct name | Binary MCI screening |
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Columns
cov_agecov_age_categorycov_areacov_cdr_0cov_educationcov_genderiditemrespwave
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("Karim2022_tmoca_subscales_longitudinal")
# Python
pip install irw
import irw
df = irw.fetch("Karim2022_tmoca_subscales_longitudinal")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_2 v19.0 |
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| Redivis dataset DOI | 10.57761/qtx5-4m80 |
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| Manifest pin for this IRW version | v19.0 |
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| Metadata source | irw_meta v23.0 |
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