reyes_2022_eheals
4,216 responses from 527 respondents to 8 items.
About this table
| Description | 8-item eHealth Literacy Scale (eHEALS, 1-5 scale), from a survey of N=528 undergraduate students on eHealth usage and patient-provider relationships. |
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| Reference | Reyes M, Vance-Chalcraft H (2022) Understanding undergraduate students' eHealth usage and views of the patient-provider relationship. PLoS ONE. |
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| DOI | 10.1371/journal.pone.0266802 |
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| Licence | CC BY 4.0 |
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| Source data | https://doi.org/10.1371/journal.pone.0266802.s006 |
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Size and shape
| Responses | 4,216 |
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| Respondents | 527 |
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| Items | 8 |
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| Response categories | 5 |
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| Responses per respondent | 8 |
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| Responses per item | 527 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| sample | 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) | 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 | eHealth Literacy Scale (eHEALS) |
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| Mean words per item | 13.125 |
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| Mean characters per item | 71 |
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| Mean characters per response | 14 |
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| Flesch-Kincaid grade level | 7.397 |
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Columns
cov_agecov_gendercov_majorcov_race_ethnicityiditemresp
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("reyes_2022_eheals")
# Python
pip install irw
import irw
df = irw.fetch("reyes_2022_eheals")
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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