78,420 responses from 7,842 respondents to 10 items.
One of 10 tables from the same source; this one measures Meaning of Life. The others are listed under Related tables.
| 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 |
| 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 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, ALSECYPIAMH_WU_2022.r. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | PID |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
What item codes and covariate values stand for is in the codebook released with the source data.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ALSECYPIAMH_WU_2022_MIL")
# Python
pip install irw
import irw
df = irw.fetch("ALSECYPIAMH_WU_2022_MIL")
@article{https://doi.org/10.17605/osf.io/jqzbx,
doi = {10.17605/OSF.IO/JQZBX},
url = {https://osf.io/jqzbx/},
author = {Wu, Yun and Yan, Wei and Wu, Yiwen},
title = {A large-scale evaluation of Chinese youth purpose and its associations with mental health},
publisher = {Open Science Framework},
year = {2022},
copyright = {CC-By Attribution 4.0 International}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse v74.0 |
| Redivis dataset DOI | 10.57761/a1gm-m985 |
| Manifest pin for this IRW version | v73.0 |
| Metadata source | irw_meta v44.0 |