zhao_2025_digital_literacy
46,060 responses from 6,202 respondents to 7 items.
About this table
| Description | 7-item raw digital-literacy indicator battery (device access + usage frequency), CFPS panel, Chinese migrant workers |
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| Reference | Zhao X, Tang Y, Wang L (2025) The impact of digital literacy on the urban integration of migrant workers. PLOS ONE |
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| DOI | 10.1371/journal.pone.0334214 |
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| Licence | CC BY 4.0 |
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| Source data | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0334214.s001&type=supplementary |
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Size and shape
| Responses | 46,060 |
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| Respondents | 6,202 |
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| Items | 7 |
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| Response categories | 7 |
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| Responses per respondent | 7.427 |
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| Responses per item | 6,580 |
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| Density | 1.061 |
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| Longitudinal | TRUE |
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Classification
| age range | Adult (18+) |
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| sample | Workplace |
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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) | chi |
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Columns
cov_agecov_confidence_futurecov_east_regioncov_economic_integrationcov_education_heterogeneitycov_education_levelcov_family_sizecov_favors_gifts_logcov_gendercov_healthcov_household_expenditure_logcov_household_income_logcov_information_acquisitioncov_labor_contractcov_life_satisfactioncov_marriagecov_new_generationcov_party_membercov_provincecov_psychological_integrationcov_resiliencecov_social_integrationcov_social_relationscov_social_statuscov_urban_integrationcov_wage_income_logiditemrespwave
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("zhao_2025_digital_literacy")
# Python
pip install irw
import irw
df = irw.fetch("zhao_2025_digital_literacy")
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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