8,481 responses from 646 respondents to 16 items.
| Description | Passive and Active Use Measure |
|---|---|
| Reference | Godard, R., Draper, Z.A., Holtzman, S. et al. (De)construction on the road ahead: Item response theory and psychometric analysis of self-report measures of active and passive social media use. Curr Psychol 45, 498 (2026). https://doi.org/10.1007/s12144-026-09064-y |
| DOI | 10.1007/s12144-026-09064-y |
| Licence | CC BY 4.0 |
| Source data | https://github.com/ben-domingue/irw/issues/1411 |
| Responses | 8,481 |
|---|---|
| Respondents | 646 |
| Items | 16 |
| Response categories | 5 |
| Responses per respondent | 13.128 |
| Responses per item | 530.062 |
| Density | 0.821 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Passive and Active Use Measure |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("social_media_godard_2026_paum")
# Python
pip install irw
import irw
df = irw.fetch("social_media_godard_2026_paum")
@article{Godard_2026, title={(De)construction on the road ahead: Item response theory and psychometric analysis of self-report measures of active and passive social media use}, volume={45}, ISSN={1936-4733}, url={http://dx.doi.org/10.1007/s12144-026-09064-y}, DOI={10.1007/s12144-026-09064-y}, number={5}, journal={Current Psychology}, publisher={Springer Science and Business Media LLC}, author={Godard, Rebecca and Draper, Zakary A. and Holtzman, Susan and O’Connor, Brian P.}, year={2026}, month=feb }
| IRW version | v439 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v24.0 |
| Redivis dataset DOI | 10.57761/2e94-hp35 |
| Manifest pin for this IRW version | v24.0 |
| Metadata source | irw_meta v27.0 |