Muirne C S Paap1,2, Benjamin Hummelen3, Johan Braeken3,4, Espen A Arnevik5, Espen Walderhaug5, Theresa Wilberg3,6, Han Berghuis7, Joost Hutsebaut8, Geir Pedersen9,10. 1. Department of Research and Innovation, Division of Mental Health and Addiction, Oslo University Hospital, P.O.Box 4956, 0424, Nydalen, Oslo, Norway. m.c.s.paap@rug.nl. 2. Department of Child and Family Welfare, Faculty of Behavioural and Social Sciences, University of Groningen, Groningen, The Netherlands. m.c.s.paap@rug.nl. 3. Department of Research and Innovation, Division of Mental Health and Addiction, Oslo University Hospital, P.O.Box 4956, 0424, Nydalen, Oslo, Norway. 4. Centre for Educational Measurement at the University of Oslo (CEMO), University of Oslo, Oslo, Norway. 5. Department of Addiction Treatment, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway. 6. Institute of Clinical Medicine, University of Oslo, Oslo, Norway. 7. ARKIN Mental Health, NPI Centre for Personality Disorders, Amersfoort, The Netherlands. 8. Viersprong Institute for Studies on Personality Disorders (VISPD), Halsteren, The Netherlands. 9. Department of Personality Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway. 10. NORMENT, KG Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Abstract
PURPOSE: The Severity Indices of Personality Problems 118 (SIPP-118) is a self-report questionnaire that aims to measure core components of (mal)adaptive personality functioning that can change over time. In this study, we aimed to assess the facet strength of the 16 facets across three large clinical samples. METHODS: Data from Norwegian and Dutch psychiatric patients were analyzed in this international multi-center study (N1 = 2814, N2 = 4751, N3 = 2217). Bi-factor modeling was used to assess to what degree the SIPP items tap into an overall general factor. The incremental value (distinctiveness) of the facets was studied using proportional reduction in mean squared error (PRMSE) based statistics. RESULTS: The estimated model showed adequate fit. The explained common variance (ECV) attributable to the general factor equaled 50% for all three samples. All but two facets (stable self-image and frustration tolerance) showed sufficient levels of distinctiveness. The findings were observed to be comparable across the three samples. CONCLUSION: Our findings showed that the general factor was relatively weak, and the facets had a clear incremental value.
PURPOSE: The Severity Indices of Personality Problems 118 (SIPP-118) is a self-report questionnaire that aims to measure core components of (mal)adaptive personality functioning that can change over time. In this study, we aimed to assess the facet strength of the 16 facets across three large clinical samples. METHODS: Data from Norwegian and Dutch psychiatric patients were analyzed in this international multi-center study (N1 = 2814, N2 = 4751, N3 = 2217). Bi-factor modeling was used to assess to what degree the SIPP items tap into an overall general factor. The incremental value (distinctiveness) of the facets was studied using proportional reduction in mean squared error (PRMSE) based statistics. RESULTS: The estimated model showed adequate fit. The explained common variance (ECV) attributable to the general factor equaled 50% for all three samples. All but two facets (stable self-image and frustration tolerance) showed sufficient levels of distinctiveness. The findings were observed to be comparable across the three samples. CONCLUSION: Our findings showed that the general factor was relatively weak, and the facets had a clear incremental value.
Authors: Dawn Bales; Nicole van Beek; Maaike Smits; Sten Willemsen; Jan J V Busschbach; Roel Verheul; Helene Andrea Journal: J Pers Disord Date: 2012-08
Authors: Roel Verheul; Helene Andrea; Caspar C Berghout; Conor Dolan; Jan J V Busschbach; Petra J A van der Kroft; Anthony W Bateman; Peter Fonagy Journal: Psychol Assess Date: 2008-03