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The online version of this article (doi:10.1007/s10802-016-0132-1) contains supplementary material, which is available to authorized users.
Recent studies have suggested that the structure of psychopathology may be usefully represented in terms of a general factor of psychopathology (p-factor) capturing variance common to a broad range of symptoms transcending diagnostic domains in addition to specific factors capturing variance common to smaller subsets of more closely related symptoms. Little is known about how the general co-morbidity captured by this p-factor develops and whether general co-morbidity increases or decreases over childhood and adolescence. We evaluated two competing hypotheses: 1) dynamic mutualism which predicts growth in general co-morbidity and associated p-factor strength over time and 2) p-differentiation which predicts that manifestations of liabilities towards psychopathology become increasingly specific over time. Data came from the Zurich Project on the Social Development of Children and Youths (z-proso), a longitudinal study of a normative sample (approx. 50 % male) measured at 8 time points from ages 7 to 15. We operationalised general co-morbidity as p-factor strength in a bi-factor model and used omega hierarchical to track how this changed over development. In contrast to the predictions of both dynamic mutualism and p-differentiation, p-factor strength remained relatively constant over the studied period suggesting that such processes do not govern the interplay between psychopathological symptoms during this phase of development. Future research should focus on earlier phases of development and on factors that maintain the consistency of symptom-general covariation across this period.
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Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 16, 397–438. CrossRef
Averdijk, M., Zirk-Sadowski, J., Ribeaud, D., & Eisner, M. (2016). Long-term effects of two childhood psychosocial interventions on adolescent delinquency, substance use, and antisocial behavior: a cluster randomized controlled trial. Manuscript submitted for publication.
Barlow, D. H., Sauer-Zavala, S., Carl, J. R., Bullis, J. R., & Ellard, K. K. (2014). The nature, diagnosis, and treatment of neuroticism back to the future. Clinical Psychological Science, 2, 344–365. CrossRef
Behar, L., & Stringfield, S. (1974). Manual for the preschool behavior questionnaire. Durham: Lenore Behar.
Caspi, A., Houts, R. M., Belsky, D. W., Goldman-Mellor, S. J., Harrington, H., Israel, S., Meier, M. H., Shalev, I., Poulton, R., & Moffitt, T. E. (2014). The p factor: One general psychopathology factor in the structure of psychiatric disorders? Clinical Psychological Science, 2, 119–137. CrossRefPubMedPubMedCentral
Edelbrock, C., Costello, A. J., Dulcan, M. K., Kalas, R., & Conover, N. C. (1985). Age differences in the reliability of the psychiatric interview of the child. Child Development, 265-275.
Gignac, G. E. (2014). Dynamic mutualism versus g factor theory: an empirical test. Intelligence, 42, 89–97. CrossRef
Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Hillsdale: LEA.
Harrison, D. A., McLaughlin, M. E., & Coalter, T. M. (1996). Context, cognition, and common method variance: psychometric and verbal protocol evidence. Organizational Behavior and Human Decision Processes, 68, 246–261. CrossRef
Holzinger, K. J., & Swineford, F. (1937). The bi-factor method. Psychometrika, 2, 41–54. CrossRef
Laceulle, O. M., Vollebergh, W. A., & Ormel, J. (2015). The structure of psychopathology in adolescence: Replication of a general psychopathology factor in the TRAILS study. Clinical Psychological Science, epub ahead of print.
Malti, T., Ribeaud, D., & Eisner, M. P. (2011). The effectiveness of two universal preventive interventions in reducing children’s externalizing behavior: a cluster randomized controlled trial. Journal of Clinical Child & Adolescent Psychology, 40, 677–692. CrossRef
Maxwell, S. E., & Delaney, H. D. (1993). Bivariate median splits and spurious statistical significance. Psychological Bulletin, 113, 181–190. CrossRef
McDonald, R. P. (1999). Test theory: A unified treatment. Mahwah: LEA.
Morin, A. J., Arens, A. K., & Marsh, H. W. (2016). A bifactor exploratory structural equation modeling framework for the identification of distinct sources of construct-relevant psychometric multidimensionality. Structural Equation Modeling: A Multidisciplinary Journal, 23, 116–139. CrossRef
Murray, A. L., & Johnson, W. (2013). The limitations of model fit in comparing the bi-factor versus higher-order models of human cognitive ability structure. Intelligence, 41, 407–422. CrossRef
Murray, A. L., Booth, T., McKenzie, K., Kuenssberg, R., & O’Donnell, M. (2014a). Are autistic traits measured equivalently in individuals with and without an autism spectrum disorder? An invariance analysis of the Autism Spectrum Quotient Short Form. Journal of Autism and Developmental Disorders, 44, 55–64. CrossRefPubMed
Murray, A. L., McKenzie, K., Kuenssberg, R., & O’Donnell, M. (2014b). Are we under- estimating the association between autism symptoms?: The importance of considering simultaneous selection when using samples of individuals who meet diagnostic criteria for an Autism Spectrum Disorder. Journal of Autism and Developmental Disorders, 44, 2921–2930. CrossRefPubMed
Murray, A. L., Eisner, M. P., & Ribeaud, D. (2016). The need for dimensional, trans-diagnostic measures of childhood and adolescent psychopathology: an analysis of the Social Behavior Questionnaire. Manuscript submitted for publication.
Ormel, J., Raven, D., van Oort, F., Hartman, C. A., Reijneveld, S. A., Veenstra, R., & Oldehinkel, A. J. (2015). Mental health in Dutch adolescents: a TRAILS report on prevalence, severity, age of onset, continuity and co-morbidity of DSM disorders. Psychological Medicine, 45, 345–360. CrossRefPubMed
R Core Team. (2014). R: A language and environment for statistical computing. Vienna: R Foundation for statistical computing. http://www.R-project.org .
Reise, S. P., Scheines, R., Widaman, K. F., & Haviland, M. G. (2013). Multidimensionality and structural coefficient bias in structural equation modelling: a bifactor perspective. Educational and Psychological Measurement, 73, 5–26. CrossRef
Revelle, W., & Wilt, J. (2012). On when a factor is a general factor: Presented at the European Association for Personality Psychology experts meeting on the structure of personality, Dubrovnik, Croatia.
Rutter, M. (1997). Comorbidity: concepts, claims and choices. Criminal Behaviour and Mental Health, 7, 265–285. CrossRef
Schmid, J., & Leiman, J. M. (1957). The development of hierarchical factor solutions. Psychometrika, 22, 53–61. CrossRef
Spearman, C. (1904). “General Intelligence,” objectively determined and measured. The American Journal of Psychology, 15, 201–292. CrossRef
ten Berge, J. M. F., Krijnen, W. P., Wansbeek, T., & Shapiro, A. (1999). Some new results on correlation-preserving factor scores prediction methods. Linear Algebra and its Applications, 289, 311–318. CrossRef
Van Buuren, S., & Groothuis-Oudshoorn, K. (2011). mice: Multivariate imputation by chained equations in R. Journal of Statistical Software, 45, 1–67. CrossRef
Ye, S. (2009). Factor structure of the General Health Questionnaire (GHQ-12): the role of wording effects. Personality and Individual Differences, 46, 197–201. CrossRef
Yung, Y. F., Thissen, D., & McLeod, L. D. (1999). On the relationship between the higher- order factor model and the hierarchical factor model. Psychometrika, 64, 113–128. CrossRef
- The Development of the General Factor of Psychopathology ‘p Factor’ Through Childhood and Adolescence
Aja Louise Murray
- Springer US