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

Samantha HartleyDivision of Clinical Psychology, University of Manchester, Manchester, UK.Correspondence[email protected]

Filippo VareseDivision of Clinical Psychology, University of Manchester, Manchester, UK.

Debora Vasconcelos e SaDivision of Clinical Psychology, University of Manchester, Manchester, UK.

Alisa UdachinaClinical Psychology Unit, University of Sheffield, Sheffield, UK.

Christine BarrowcloughDivision of Clinical Psychology, University of Manchester, Manchester, UK.;Manchester Mental Health and Social Care Trust, Manchester, UK.

Richard P. BentallInstitute of Psychology, Health and Society, University of Liverpool, Liverpool, UK.

Shôn W. LewisCentre for Biostatistics, Institute of Population Health, University of Manchester, Manchester, UK.

Graham DunnCentre for Biostatistics, Institute of Population Health, University of Manchester, Manchester, UK.

Gillian HaddockDivision of Clinical Psychology, University of Manchester, Manchester, UK.;Manchester Mental Health and Social Care Trust, Manchester, UK.

Jasper Palmier-ClausDivision of Clinical Psychology, University of Manchester, Manchester, UK.

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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 .05) predicted the number of valid reports or compliance as defined by traditionally used cut-off points ( 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.

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