Article2010

Heterogeneity in the latent structure of PTSD symptoms among Canadian veterans.

James A. Naifeh · J. Don Richardson · Kevin S. Del Ben · Jon D. Elhai

68 citations0/0 files storedPsychological Assessment

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Posttraumatic Stress Disorder Research Psychometric Methodologies and Testing Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Abstract

The current study used factor mixture modeling to identify heterogeneity (i.e., latent classes) in 2 well-supported models of posttraumatic stress disorder's (PTSD) factor structure. Data were analyzed from a clinical sample of 405 Canadian veterans evaluated for PTSD. Results were consistent with our hypotheses. Each PTSD factor model was best represented by 2 latent classes of participants, differing with respect to PTSD symptom severity. Furthermore, classes were most strongly distinguished by factor scores related to emotional numbing or dysphoria. For both factor models, class membership was significantly predicted by age and depression diagnosis. Implications of these findings are discussed.

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References

2013Diagnostic and Statistical Manual of Mental Disorders 1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives 1960A RATING SCALE FOR DEPRESSION 1991Structural Equations with Latent Variables.2007Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study 1967Development of a Rating Scale for Primary Depressive Illness 2000Meta-analysis of risk factors for posttraumatic stress disorder in trauma-exposed adults.1995The development of a Clinician-Administered PTSD Scale

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