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Use of Exploratory Graph Analysis in Inspecting the Dimensionality of the Revised University of California Los Angeles (R-UCLA) Loneliness Scale Among Older Adults

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Authors

Lee, Chiyoung; Park, Yeon-Hwan; Cho, Belong

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
URI
https://hdl.handle.net/10371/204063
DOI
https://doi.org/10.3928/19404921-20230104-03
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  • College of Nursing
  • Dept. of Nursing
Research Area Chronic Disease in Elderly Population, Evidence-Based Nursing Intervention

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