Exploration of Factor Structure and Measurement Invariance by Gender for a Modified Shortened Adapted Social Capital Assessment Tool in India.

Clicks: 417
ID: 79326
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #33 of 510 articles by views in Frontiers in psychology

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 510 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Social capital is defined as the nature of the social relationship between individuals or groups and the embedded resources available through their social network. It is considered as a critical determinant of health and well-being. Thus, it is essential to assess the performance of any tool when meaningfully comparing social capital between specific groups. Using measurement invariance (MI) analysis, this paper explored the factor structure of the social capital of men and women measured by a modified Shortened Adapted Social Capital Assessment Tool (SASCAT-I) in rural Uttar Pradesh (UP), India. The study sample comprised 5,287 men (18-101 years) and 7,186 women (15-45 years) from 6,218 randomly selected households who responded to SASCAT-I during a community-level cross-sectional survey. Social capital factor structure was examined by both exploratory and confirmatory factor analysis (CFA), and MI across genders was investigated using multigroup CFA. While disregarding gender, four unique factors (, , , and ) represented the structure of social capital. The MI analysis presented a partial metric-invariance indicating factor loadings for and were the same across genders. The gender-stratified analysis demonstrated that a four-factor solution was best fitted for both men and women. Men and women of rural UP interpreted social capital differently as the perception of and varied across genders. For any future applications of SASCAT-I, we recommend gender-stratified factor analysis to quantify social capital's measure, acknowledging its multidimensionality.
Reference Key
hasan2019explorationfrontiers Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Hasan, Md Zabir;Leoutsakos, Jeannie-Marie;Story, William T;Dean, Lorraine T;Rao, Krishna D;Gupta, Shivam;
Journal Frontiers in psychology
Year 2019
DOI
10.3389/fpsyg.2019.02641
URL
Keywords
india factor analysis gender social capital measurement invariance

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.