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Measurement Invariance of the Short UCLA Loneliness Scale in Spanish and Peruvian Old People: Latent Mean Differences and Evidence for Differential Effects on Perceived Health

  • Tomás Caycho-Rodríguez(corresponding author)
    ,
  • José M. Tomás
    ,
  • José Ventura-León
    ,
  • Cirilo H.García Cadena
    ,
  • Mario Reyes-Bossio
    ,
  • Rodrigo Moreta-Herrera
*Corresponding author for this work
  • ,
  • Universitat de València
    ,
  • Universidad Privada del Norte
    ,
  • Universidad Autónoma de Nuevo León
    ,
  • Universidad Peruana de Ciencias Aplicadas
    ,
  • Pontificia Universidad Católica del Ecuador (PUCE)
Research Output:
Contribution to journal
Article
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 64-89 (26 pages)

Journal (Volume, Issue Number)

Psychological Thought (Volume 16, Issue 1)

Publication milestones

  • Published - 2023

Publication status

Published - 2023

Publication IDs

  • Scopus: 85159275315

Abstract

The objectives of this study are to evaluate the measurement invariance of the University of California Los Angeles Loneliness Scale (UCLA-LS) three-item version (UCLA-LS-3) in older adults in Peru and Spain, to compare the latent means of loneliness, and to evaluate the psychometric properties of the scale with Item Response Theory (IRT) models, and evaluate the possible moderating effects of the country on loneliness-health relationships. Peruvian sample was composed of 235 old adults from the city of Lima. The Spanish sample was composed of 443 old adults. The three-factor structure of RUCLA-3 anchored to the health measure fitted the data reasonably well in Spain and Peru. The R-UCLA-3 may be considered invariant for these two samples. The latent means of loneliness are different, the Peruvian average of loneliness being greater than that of Spain. The R-UCLA-3 is an invariant measure in older adults in Peru and Spain, with adequate psychometric properties through IRT models.