"Psychometric properties of the PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (PCL-5) in veterans": Correction to Bovin et al. (2016).

Abstract

Reports an error in "Psychometric properties of the PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (PCL-5) in veterans" by Michelle J. Bovin, Brian P. Marx, Frank W. Weathers, Matthew W. Gallagher, Paola Rodriguez, Paula P. Schnurr and Terence M. Keane (Psychological Assessment, 2016[Nov], Vol 28[11], 1379-1391). In the article, the departments and affiliations were incorrectly listed for authors Michelle J. Bovin, Brian P. Marx, Matthew W. Gallagher, Paola Rodriguez, Paula P. Schnurr, and Terence M. Keane. The first department and affiliation for authors Michelle J. Bovin, Brian P. Marx, Matthew W. Gallagher, Paola Rodriguez, and Terence M. Keane and should have read "National Center for PTSD at VA Boston Healthcare System, Boston, Massachusetts". The first department and affiliation for author Paula P. Schnurr should have read "National Center for PTSD, White River Junction, Vermont." The online version of this article has been corrected. (The following abstract of the original article appeared in record 2015-55809-001.) This study examined the psychometric properties of the posttraumatic stress disorder (PTSD) Checklist for Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (PCL-5; Weathers, Litz, et al., 2013b) in 2 independent samples of veterans receiving care at a Veterans Affairs Medical Center (N = 468). A subsample of these participants (n = 140) was used to define a valid diagnostic cutoff score for the instrument using the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5; Weathers, Blake, et al., 2013) as the reference standard. The PCL-5 test scores demonstrated good internal consistency (α = .96), test-retest reliability (r = .84), and convergent and discriminant validity. Consistent with previous studies (Armour et al., 2015; Liu et al., 2014), confirmatory factor analysis revealed that the data were best explained by a 6-factor anhedonia model and a 7-factor hybrid model. Signal detection analyses using the CAPS-5 revealed that PCL-5 scores of 31 to 33 were optimally efficient for diagnosing PTSD (κ(.5) = .58). Overall, the findings suggest that the PCL-5 is a psychometrically sound instrument that can be used effectively with veterans. Further, by determining a valid cutoff score using the CAPS-5, the PCL-5 can now be used to identify veterans with probable PTSD. However, findings also suggest the need for research to evaluate cluster structure of DSM-5. (PsycINFO Database Record