jung_2018_media_use
10,670 responses from 2,134 respondents to 5 items.
About this table
| Description | Health-related media use frequency, past week (TV/radio/newspaper/books/internet, 5 items 1-3 scale) N=2134 South Korean mothers |
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| Reference | Jung M (2018) The effect of maternal decisional authority on children's vaccination in East Asia. PLOS ONE. |
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| DOI | 10.1371/journal.pone.0200333 |
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| Licence | CC BY 4.0 |
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| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0200333.s001 |
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Size and shape
| Responses | 10,670 |
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| Respondents | 2,134 |
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| Items | 5 |
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| Response categories | 3 |
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| Responses per respondent | 5 |
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| Responses per item | 2,134 |
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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 | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | kor |
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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-related media use (past week), 5-item media-use battery (question B3) |
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| Mean words per item | 1 |
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| Mean characters per item | 2 |
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| Mean characters per response | 13.333 |
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| Flesch-Kincaid grade level | -3.400 |
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Columns
cov_agecov_educationcov_gendercov_incomecov_marriagecov_nationalityiditemresp
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("jung_2018_media_use")
# Python
pip install irw
import irw
df = irw.fetch("jung_2018_media_use")
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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