Social Indicators Research

, Volume 78, Issue 1, pp 61–83 | Cite as

The Positive Event Scale: Measuring Uplift Frequency and Intensity in an Adult Sample

  • D. J. MayberyEmail author
  • Jenny Jones-Ellis
  • Jason Neale
  • Alexandra Arentz


Of the limited number of studies employing positive event (uplift) measures none have published detailed psychometric information about the scale that was used (Maybery and Graham, 2001, Stress and Health 17, pp. 91–104). Building on previous work with university students and employing conceptually distinct measurement strategies (i.e. measuring event frequency and intensity), this paper examined the component structure, concurrent validity and reliability of an uplift measure designed for an adult middle aged population. The 373 participants were 73% female, largely in paid work (72%), in permanent relationships (69%), 62% having children and the sample having a mean age of 41.83 years (SD = 16.14). Principal component analyses of separate frequency and intensity scores from 43 uplifts highlighted generally consistent component structures. The nine uplift factors were friends, social events, work, interactions with workers, with supervisor, spouse/partner, parents, children and household. There were moderate to strong correlations between frequency and intensity scores for each subscale. The subscales had very good reliabilities and weak to moderate correlations with well-being instruments (life satisfaction and positive affect) and selected personality variables, and as expected there were no correlations with distress or negative affect. The results highlight a generally clear uplift factor structure that includes a range of interpersonal, social and work subscales from the positive event domains. The findings extend previous research by improving the conceptual understanding of the sources of uplifting events for individuals and provide a valid and reliable measure for future research.


Life Satisfaction Behavioural Medicine Negative Mood Positive Mood Daily Hassle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer 2006

Authors and Affiliations

  • D. J. Maybery
    • 1
    Email author
  • Jenny Jones-Ellis
    • 1
  • Jason Neale
    • 1
  • Alexandra Arentz
    • 1
  1. 1.Department of Psychology Charles Sturt UniversityWagga WaggaAustralia

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