ghanbari_2016_helma_understand
5,238 responses from 582 respondents to 9 items.
About this table
| Description | HELMA understanding subscale (9 items 1-5 Likert) N=582 Iranian adolescents |
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| Reference | Ghanbari S et al. 2016 PLOS ONE |
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| DOI | 10.1371/journal.pone.0149202 |
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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.0149202 |
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Size and shape
| Responses | 5,238 |
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| Respondents | 582 |
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| Items | 9 |
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| Response categories | 5 |
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| Responses per respondent | 9 |
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| Responses per item | 582 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Mixed |
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| child age (for child-focused studies) | Adolescent (12-18y) |
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| 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) | per |
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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 | Health Literacy Measure for Adolescents (HELMA), understanding subscale |
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| Mean words per item | 13.667 |
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| Mean characters per item | 89.333 |
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| Mean characters per response | 7.400 |
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| Flesch-Kincaid grade level | 13.297 |
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Columns
cov_agecov_classcov_father_educationcov_father_jobcov_fieldcov_first_health_info_sourcecov_health_statuscov_interest_in_healthcov_internet_holidaycov_internet_schooldaycov_magazine_usecov_mother_educationcov_mother_jobcov_radio_usecov_regioncov_sexcov_tv_holidaycov_tv_schooldayiditemresp
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("ghanbari_2016_helma_understand")
# Python
pip install irw
import irw
df = irw.fetch("ghanbari_2016_helma_understand")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_3 v7.0 |
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| Redivis dataset DOI | 10.57761/pqqn-pm43 |
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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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