15,776 responses from 986 respondents to 16 items.
| Description | Scales that measure how often students encounter harmful online experiences, like cyberbullying, sexual solicitation, or exposure to explicit content. |
|---|---|
| Reference | Wang, H., Zhang, S., Sun, N., Qi, S., & Yi, X. (2025). Online risk exposure and anxiety among college students in China: The chain mediating role of negative attribution and interpersonal security. PloS one, 20(3), e0319700. |
| DOI | 10.1371/journal.pone.0319700 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0319700.s001 |
| Responses | 15,776 |
|---|---|
| Respondents | 986 |
| Items | 16 |
| Response categories | 5 |
| Responses per respondent | 16 |
| Responses per item | 986 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, Representative |
| construct type | Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
| construct name | Online risk exposure scale |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Scales that measure how often students encounter harmful online experiences, like cyberbullying, sexual solicitation, or exposure to explicit content. |
|---|---|
| Mean words per item | 14.312 |
| Mean characters per item | 82.938 |
| Mean characters per response | 6.400 |
| Flesch-Kincaid grade level | 9.503 |
cov_genderiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("wang_onlineriskexp_2025")
# Python
pip install irw
import irw
df = irw.fetch("wang_onlineriskexp_2025")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |