78,420 responses from 7,842 respondents to 10 items.
| Description | Meaning of Life |
|---|---|
| Reference | Wu, Y., Yan, W., & Wu, Y. (2024, April 18). A large-scale evaluation of Chinese youth purpose and its associations with mental health. https://doi.org/10.17605/OSF.IO/JQZBX |
| DOI | 10.17605/OSF.IO/JQZBX |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/jqzbx/ |
| Responses | 78,420 |
|---|---|
| Respondents | 7,842 |
| Items | 10 |
| Response categories | 7 |
| Responses per respondent | 10 |
| Responses per item | 7,842 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi,eng |
| construct name | Meaning of Life |
iditemresp
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ALSECYPIAMH_WU_2022_MIL")
# Python
pip install git+https://github.com/itemresponsewarehouse/Python-pkg.git
import irw
df = irw.fetch("ALSECYPIAMH_WU_2022_MIL")
Browse or download it directly on Redivis, or take the Croissant description of this table for use with Hugging Face, Kaggle or OpenML.
| IRW version | v332 |
|---|---|
| Redivis dataset | item_response_warehouse v47.0 |
| Redivis dataset DOI | 10.57761/3jrw-s263 |
| Manifest pin for this IRW version | v46.0 |
| Metadata source | irw_meta v19.3 |