19,808 responses from 1,238 respondents to 16 items.
| Description | Mobile Phone Addiction Tendency Scale (16 items) administered to Chinese medical students |
|---|---|
| Reference | Song Y, Sznajder K, Bai Q, Xu Y, Dong Y, Yang X (2023). English as a foreign language writing anxiety and its relationship with self-esteem and mobile phone addiction among Chinese medical students-A structural equation model analysis. PLOS ONE, 18(4), e0284335. https://doi.org/10.1371/journal.pone.0284335 |
| DOI | 10.1371/journal.pone.0284335 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0284335.s007 |
| Responses | 19,808 |
|---|---|
| Respondents | 1,238 |
| Items | 16 |
| Response categories | 5 |
| Responses per respondent | 16 |
| Responses per item | 1,238 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
cov_agecov_family_incomecov_family_locationcov_father_educationcov_gendercov_gradecov_majorcov_medical_historycov_mother_educationiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("song_2023_mpats")
# Python
pip install irw
import irw
df = irw.fetch("song_2023_mpats")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |