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Some normative, reliability, and factor analytic data for the revised UCLA Loneliness Scale.

R G Knight1, B J Chisholm, N V Marsh

  • 1Psychology Department, University of Otago, Dunedin, New Zealand.

Journal of Clinical Psychology
|March 1, 1988
PubMed
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This study provides normative data for the UCLA Loneliness Scale in adults. Factor analysis revealed a two-factor structure, leading to the creation of two reliable 10-item short forms for measuring loneliness.

Area of Science:

  • Psychological Measurement
  • Social Psychology
  • Psychometrics

Background:

  • Loneliness is a significant aspect of adult mental health.
  • The UCLA Loneliness Scale is a widely used instrument for assessing loneliness.
  • Establishing normative data is crucial for interpreting scale scores in diverse populations.

Purpose of the Study:

  • To provide normative statistics for the UCLA Loneliness Scale.
  • To investigate the factor structure of the UCLA Loneliness Scale.
  • To develop and validate short forms of the UCLA Loneliness Scale.

Main Methods:

  • A general population health survey collected data from 978 adult subjects.
  • Factor analysis was employed to examine the scale's structure.

Related Experiment Videos

  • Two equivalent 10-item short forms were constructed based on factor analysis results.

    • Main Results:

    • The UCLA Loneliness Scale demonstrated a two-factor structure.
    • Positively and negatively worded items loaded onto separate factors.
    • The reliability of the scale and its short forms was confirmed.

    Conclusions:

    • The study provides valuable normative data for the UCLA Loneliness Scale.
    • The identified two-factor structure supports the scale's underlying dimensions.
    • The developed short forms offer efficient and reliable alternatives for loneliness assessment.