5,508 responses from 459 respondents to 12 items.
One of 5 tables from the same source; this one is the spiritual_wellbeing table. The others are listed under Related tables.
| Description | Spiritual well-being scale, 1-5 Likert; N=459, 12 items, Chinese older adults |
|---|---|
| Reference | Gao, X. (2025). Perceived family support as a double-edged sword: A moderated mediation model of attachment on spiritual well-being among Chinese older adults. figshare. |
| Licence | CC BY 4.0 |
| Source data | https://figshare.com/articles/dataset/Perceived_family_support_as_a_double-edged_sword_A_moderated_mediation_model_of_attachment_on_spiritual_well-being_among_Chinese_older_adults/28737626 |
| Responses | 5,508 |
|---|---|
| Respondents | 459 |
| Items | 12 |
| Response categories | 5 |
| Responses per respondent | 12 |
| Responses per item | 459 |
| Density | 1 |
| Longitudinal | FALSE |
| measurement tool | Survey/questionnaire |
|---|---|
| item format | Likert Scale/selected response |
| primary language(s) | chi |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Spirituality Index of Well-Being (SIWB) |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 10.200 |
| Flesch-Kincaid grade level | -3.400 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, gao2025_family_support.py. 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). | ID |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | Age |
cov_gender | Covariate | Gender |
cov_marital_status | Covariate | MaritalStatus |
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:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gao2025_spiritual_wellbeing")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("gao2025_spiritual_wellbeing")
@misc{https://doi.org/10.6084/m9.figshare.28737626,
doi = {10.6084/M9.FIGSHARE.28737626},
url = {https://figshare.com/articles/dataset/Perceived_family_support_as_a_double-edged_sword_A_moderated_mediation_model_of_attachment_on_spiritual_well-being_among_Chinese_older_adults/28737626},
author = {Gao, Xiaomeng},
keywords = {Social and personality psychology not elsewhere classified},
title = {Perceived family support as a double-edged sword: A moderated mediation model of attachment on spiritual well-being among Chinese older adults},
publisher = {figshare},
year = {2025},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v13.0 |
| Redivis dataset DOI | 10.57761/gpg7-sg87 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v37.0 |