98,136 responses from 1,869 respondents to 53 items.
| Description | PROMIS Pediatric Positive Affect item bank, child self-report edition; 1869 respondents, 53 items, 98136 responses |
|---|---|
| Reference | Forrest, C. B., Ravens-Sieberer, U., Devine, J., Becker, B. D., Teneralli, R. E., Moon, J., ... & Bevans, K. B. (2018). Development and evaluation of the PROMIS pediatric positive affect item bank, child-report and parent-proxy editions. Journal of Happiness Studies, 19(3), 699-718. Forrest, Christopher, 2021, "PROMIS Pediatric Measure Evaluation", https://doi.org/10.7910/DVN/QOO7QX, Harvard Dataverse, V1 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/QOO7QX |
| Responses | 98,136 |
|---|---|
| Respondents | 1,869 |
| Items | 53 |
| Response categories | 5 |
| Responses per respondent | 52.507 |
| Responses per item | 1851.623 |
| Density | 0.991 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Child (6-12y), Adolescent (12-18y) |
| sample | Clinical, Educational, Internet-based |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
cov_agecov_ethnicitycov_gendercov_racecov_settingiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("forrest_2021_positive_affect_child")
# Python
pip install irw
import irw
df = irw.fetch("forrest_2021_positive_affect_child")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |