Examination of the structure of psychopathology using latent class analysis
Section snippets
Participants
The present study uses data from the Oregon Adolescent Depression Project (OADP) [37], a longitudinal study of a large cohort of high school students who were assessed twice during adolescence, a third time when the average age was 24 years, and a fourth time when the average age was 30 years. Participants were randomly selected from 9 high schools in western Oregon. A total of 1709 adolescents (ages 14-18 years; mean age, 16.6 years; SD, 1.2) completed the initial (T1) assessments between 1987
Identification of best fitting class solution
Latent class analyses were performed by estimating models for 2 through 10 classes. However, models are only presented for 2 through 5 classes because inadmissible solutions were found for models of 6 through 10 classes. The minimum BIC was found for the 3-class solution (Table 1), suggesting that this is the preferred solution. However, the BLRT found that the 4-class solution provided a significant improvement relative to the 3-class solution. In addition, the BLRT found that the 5-class
Discussion
Previous literature on the structure of psychopathology has largely relied on variable-centered methods such as factor analysis. Models derived from these methods describe the organization of psychopathology across individuals; however, disorder classification is intended to provide information about individual cases. To accomplish this latter goal, alternative methods such as LCA are required. The present study used LCA to identify classes of psychopathology, with the validity of the resultant
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This work was supported by the National Institute of Mental Health Grants R01MH66023 (Dr. Klein), R01 MH40501, R01 MH50522, R01 MH52858, and R01 DA012951 (Dr. Lewinsohn). Portions of these data were presented at the Twenty Fourth Annual Meeting of the Society for Research in Psychopathology, Seattle, Wash, October 2010.