179,937 responses from 1,518 respondents to 44 items.
| Description | Oxford Activities and Technology Use Scale |
|---|---|
| Reference | Parsons, S., Todorovic, A., Lim, M. C., Songco, A., & Fox, E. (2022). Data and protocol for the Oxford Achieving Resilience during COVID-19 (ARC) study. Journal of Open Psychology Data, 10(1), 4-4. |
| DOI | 10.5334/jopd.56 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/4b85w/ |
| Responses | 179,937 |
|---|---|
| Respondents | 1,518 |
| Items | 44 |
| Response categories | 6 |
| Responses per respondent | 118.536 |
| Responses per item | 4089.477 |
| Density | 2.694 |
| Longitudinal | TRUE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational, Internet-based |
| construct type | Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Oxford Activities and Technology Use Scale |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Oxford ARC study: activities and technology use |
|---|---|
| Mean words per item | 5.167 |
| Mean characters per item | 27.167 |
| Mean characters per response | 6.200 |
| Flesch-Kincaid grade level | 3.173 |
cov_agecov_countrycov_educationcov_employmentcov_ethnicitycov_gendercov_relationship_statuscov_sexual_orientationcov_transiditemrespwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("oxfordcovid_xue_2024_at")
# Python
pip install irw
import irw
df = irw.fetch("oxfordcovid_xue_2024_at")
| 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 |