tian2026_digital_competence
22,156 responses from 764 respondents to 29 items.
About this table
| Description | Digital competence scale responses from Chinese kindergarten teachers (N=764, 29 items, 1-5 Likert). |
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| Reference | Tian, X. (2026). Data for kindergarten teachers digital competence study [Dataset]. figshare. https://doi.org/10.6084/m9.figshare.32564154.v1 |
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| Licence | CC BY 4.0 |
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| Source data | https://figshare.com/articles/dataset/32564154 |
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Size and shape
| Responses | 22,156 |
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| Respondents | 764 |
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| Items | 29 |
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| Response categories | 5 |
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| Responses per respondent | 29 |
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| Responses per item | 764 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| 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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Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Digital Competence Scale for Kindergarten Teachers in Western China (Tian et al., 2026), 29 items |
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| Mean words per item | 22.690 |
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| Mean characters per item | 156.552 |
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| Mean characters per response | 7.400 |
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| Flesch-Kincaid grade level | 16.759 |
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Columns
cov_agecov_area_typecov_backgroundcov_educationcov_gendercov_rankcov_regioncov_school_typecov_teaching_yearsiditemresp
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("tian2026_digital_competence")
# Python
pip install irw
import irw
df = irw.fetch("tian2026_digital_competence")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_2 v19.0 |
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| Redivis dataset DOI | 10.57761/qtx5-4m80 |
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| Manifest pin for this IRW version | v19.0 |
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| Metadata source | irw_meta v23.0 |
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