jaen_2024_odor_id
7,605 responses from 845 respondents to 9 items.
About this table
| Description | 9-item NIH Toolbox Odor Identification test (binary correct/incorrect per odor), remote assessment via Brain Health Registry, n=845 |
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| Reference | Jaén C, et al (2024). Remote olfactory assessment using the NIH Toolbox Odor Identification test and the brain health registry. PLOS ONE. |
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| DOI | 10.1371/journal.pone.0301264 |
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| Licence | CC BY 4.0 |
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| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0301264 |
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Size and shape
| Responses | 7,605 |
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| Respondents | 845 |
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| Items | 9 |
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| Response categories | 2 |
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| Responses per respondent | 9 |
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| Responses per item | 845 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| sample | Internet-based |
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| measurement tool | Test |
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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 | NIH Toolbox Odor Identification Test |
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| Mean words per item | 27 |
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| Mean characters per item | 138 |
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| Mean characters per response | 8 |
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| Flesch-Kincaid grade level | 9.362 |
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Columns
cov_agecov_ethnicitycov_gendercov_raceiditemresp
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("jaen_2024_odor_id")
# Python
pip install irw
import irw
df = irw.fetch("jaen_2024_odor_id")
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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