gao2025_attachment_avoidance

2,754 responses from 459 respondents to 6 items.

One of 5 tables from the same source; this one is the attachment_avoidance table. The others are listed under Related tables.

About this table

DescriptionAttachment avoidance subscale, 1-7 Likert; N=459, 6 items, Chinese older adults
ReferenceGao, 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.
LicenceCC BY 4.0
Source datahttps://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

Size and shape

Responses2,754
Respondents459
Items6
Response categories7
Responses per respondent6
Responses per item459
Density1
LongitudinalFALSE

Classification

measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi

Codebook

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.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).ID
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate Age
cov_genderCovariate Gender
cov_marital_statusCovariate MaritalStatus

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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("gao2025_attachment_avoidance")
# Python
pip install irw

import irw
df = irw.fetch("gao2025_attachment_avoidance")

How to cite

@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}
}

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse_3 v13.0
Redivis dataset DOI10.57761/gpg7-sg87
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v40.0