Publications
Detailed Information
Use of Exploratory Graph Analysis in Inspecting the Dimensionality of the Revised University of California Los Angeles (R-UCLA) Loneliness Scale Among Older Adults
Cited 0 time in
Web of Science
Cited 0 time in Scopus
- Authors
- Issue Date
- 2023-01
- Publisher
- Slack, Inc.
- Citation
- Research in gerontological nursing, Vol.16 No.1, pp.15-20
- Abstract
- © 2023 Lee, Park, Cho.Exploratory graph analysis (EGA) based on network theory has been introduced as a highly reliable and effective method to assess scales dimensionality. We estimated the dimensional network structure of the Revised University of California Los Angeles Loneliness Scale using EGA among a cross-sectional cohort of Korean older adults living alone (N = 1,041). We also evaluated the stability of estimates using a bootstrap version of EGA (bootEGA) and verified the overall fit structure using confirmatory factor analysis (CFA). EGA revealed a two-dimensional structure of the scale initially. The bootEGA result revealed that Item 4 (I do not feel alone) did not sufficiently load on any dimension, and Item 20 (There are people I can turn to) was replicated in two or more dimensions. Removing these items resulted in better stability of the dimensions, leading to excellent structural consistency. CFA confirmed a satisfactory fit of the improved structure.
- ISSN
- 1940-4921
- Files in This Item:
- There are no files associated with this item.
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.