1,746 responses from 582 respondents to 3 items.
One of 7 tables from the same source; this one is the numeracy table. The others are listed under Related tables.
| Description | HELMA numeracy subscale (3 items binary correct/incorrect) N=582 Iranian adolescents |
|---|---|
| Reference | Ghanbari S et al. 2016 PLOS ONE |
| DOI | 10.1371/journal.pone.0149202 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0149202 |
| Responses | 1,746 |
|---|---|
| Respondents | 582 |
| Items | 3 |
| Response categories | 2 |
| Responses per respondent | 3 |
| Responses per item | 582 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | per |
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) - numeracy subscale |
|---|---|
| Mean words per item | 35.333 |
| Mean characters per item | 190 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | 9.179 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, ghanbari_2016_helma.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | code |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | age |
cov_class | Covariate | class |
cov_father_education | Covariate 1 = illiterate · 2 = low lit · 3 = Guidance · 4 = high school · 5 = diploma · 6 = university · 7 = dead | papedu |
cov_father_job | Covariate 1 = employed · 2 = Unemployed · 3 = retired · 4 = dead | papjob |
cov_field | Covariate 1 = 0mumi · 2 = tajrobi · 3 = riazi · 4 = adabi | field |
cov_first_health_info_source | Covariate 1 = teacher · 2 = parent · 3 = doctor · 4 = internet · 5 = health personnel · 6 = 0thers · 7 = book | firstsource |
cov_health_status | Covariate 1 = very good · 2 = good · 3 = normal · 4 = bad · 5 = very bad | healthstatus |
cov_interest_in_health | Covariate 1 = almost no · 2 = little · 3 = somewhat · 4 = much · 5 = very much | interestinhealth |
cov_internet_holiday | Covariate | Intvac |
cov_internet_schoolday | Covariate | Intsch |
cov_magazine_use | Covariate 1 = never · 2 = less than 1 · 3 = 1-2 · 4 = 2-5 · 5 = every day | magazine |
cov_mother_education | Covariate 1 = illiterate · 2 = low lit · 3 = Guidance · 4 = high school · 5 = diploma · 6 = university · 7 = dead | momedu |
cov_mother_job | Covariate 1 = housewife · 2 = employed · 3 = dead | mamjob |
cov_radio_use | Covariate | radio |
cov_region | Covariate | mantaghe |
cov_sex | Covariate 1 = female · 2 = male | sex |
cov_tv_holiday | Covariate | TVvac |
cov_tv_schoolday | Covariate | TVsch |
Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled values stand for is in the codebook released with the source data.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ghanbari_2016_helma_numeracy")
# Python
pip install irw
import irw
df = irw.fetch("ghanbari_2016_helma_numeracy")
@article{Ghanbari_2016, title={Health Literacy Measure for Adolescents (HELMA): Development and Psychometric Properties}, volume={11}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0149202}, DOI={10.1371/journal.pone.0149202}, number={2}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Ghanbari, Shahla and Ramezankhani, Ali and Montazeri, Ali and Mehrabi, Yadollah}, editor={Brucki, Sonia}, year={2016}, month=Feb, pages={e0149202} }
| IRW version | v569 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v14.0 |
| Redivis dataset DOI | 10.57761/rkkt-p907 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v43.0 |