The five-factor model of the Positive and Negative Syndrome Scale - II
| Autor: | Lieuwe de Haan, Mila Remijsen, Lucia Valmaggia, Durk Wiersma, Anke Cuijpers, Tonko Hoffman, Ron Hijman, Berno van Meijel, Mark van der Gaag, Marc De Hert, Peter N. van Harten |
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| Přispěvatelé: | Clinical Psychology, ANS - Amsterdam Neuroscience, Adult Psychiatry |
| Jazyk: | angličtina |
| Rok vydání: | 2006 |
| Předmět: |
Psychosis
medicine.medical_specialty Psychometrics Cross-validation tests/interviews-psychometric SDG 3 - Good Health and Well-being Surveys and Questionnaires medicine Humans Lack-of-fit sum of squares psychosis Big Five personality traits Psychiatry Biological Psychiatry chronic psychiatric illness Positive and Negative Syndrome Scale cross validation Reproducibility of Results diagnosis and classification medicine.disease DEPRESSION Confirmatory factor analysis schizophrenia Affect Psychiatry and Mental health Schizophrenia Schizophrenic Psychology Factor Analysis Statistical Psychology Clinical psychology |
| Zdroj: | Schizophrenia Research, 85(1-3), 280-287. Elsevier van der Gaag, M, Cuijpers, A, Hoffman, T, Remijsen, M, Hijman, R, Haan, L, van Meijel, B, van Harten, P N, Valmaggia, L, de Hert, M & Wiersma, D 2006, ' The five-factor model of the Positive and Negative Syndrome Scale II: A ten-fold cross-validation of a revised model. ', Schizophrenia Research, vol. 85, no. 1-3, pp. 280-287 . https://doi.org/10.1016/j.schres.2006.03.021 Schizophrenia Research, 85(1-3), 280-287. ELSEVIER SCIENCE BV Schizophrenia research, 85(1-3), 280-287. Elsevier |
| ISSN: | 0920-9964 |
| DOI: | 10.1016/j.schres.2006.03.021 |
| Popis: | Objective: The lack of fit of 25 previously published five-factor models for the PANSS items, can be due to the statistics used. The purpose of this study was to use a 'new' statistical method to develop and confirm an improved five-factor model. The improved model is both complex and stable. Complex means that symptoms can have multiple factor loadings, because they have multiple causes, not because they are ill defined. Stable means that the complex structure is found repeatedly in validations.Methods: A ten-fold cross-validation (10 CV) was applied on a large data set (N = 5769) to achieve an improved factor model for the PANSS items. The advantages of 10 CV are minimal effect of sample characteristics and the ability to investigate the stability of items loading on multiple factors.Results: The results show that twenty-five items contributed to the same factor all ten validations with one item showing a consistent loading on two factors. Three items were contributing to the same factor nine out of ten validations, and two items were contributing to the same factor six to eight times. The resulting five-factor model covers all thirty items of the PANSS, subdivided in the factors: positive symptoms, negative symptoms, disorganization, excitement. and emotional distress. The five-factor model has a satisfactory goodness-of-fit (Comparative Fit Index = .905; Root Mean Square Error of Approximation = .052).Conclusions: The five-factor model developed in this study is an improvement above previously published models as it represents a complex factor model and is more stable. (c) 2006 Elsevier B.V. All rights reserved. |
| Databáze: | OpenAIRE |
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