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Compliance in experience sampling methodology: the role of demographic and clinical characteristics

Author

Listed:
  • Samantha Hartley
  • Filippo Varese
  • Debora Vasconcelos e Sa
  • Alisa Udachina
  • Christine Barrowclough
  • Richard P. Bentall
  • Shôn W. Lewis
  • Graham Dunn
  • Gillian Haddock
  • Jasper Palmier-Claus

Abstract

Objective: Experience sampling (ES) involves participants rating ambulant phenomena at unpredictable intervals. Despite its perceived benefits, there is little published research evaluating the limitations of this method. Method: Predictors of compliance were investigated across three studies using ES in psychotic populations. Results: Regression analyses indicated that none of the demographic or clinical variables significantly (p ≤ \leq .05) predicted the number of valid reports or compliance as defined by traditionally used cut-off points (≥ \geq 33%). Conclusions: We conclude that it is difficult to predict compliance in ES research, which is likely to be an accessible methodology, even for people experiencing distressing symptoms.

Suggested Citation

  • Samantha Hartley & Filippo Varese & Debora Vasconcelos e Sa & Alisa Udachina & Christine Barrowclough & Richard P. Bentall & Shôn W. Lewis & Graham Dunn & Gillian Haddock & Jasper Palmier-Claus, 2014. "Compliance in experience sampling methodology: the role of demographic and clinical characteristics," Psychosis, Taylor & Francis Journals, vol. 6(1), pages 70-73, January.
    • Handle: RePEc:taf:rpsyxx:v:6:y:2014:i:1:p:70-73
    DOI: 10.1080/17522439.2012.752520
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    Cited by:

    1. Gamze Dane & Aloys Borgers & Tao Feng, 2019. "Subjective Immediate Experiences during Large-Scale Cultural Events in Cities: A Geotagging Experiment," Sustainability, MDPI, vol. 11(20), pages 1-19, October.

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