LAUSR

Included in the most recent Diagnostic and Statistical Manual of Mental Disorders is the Level 1 Cross-Cutting Symptom Measure (CCSM), a self-report checklist with 23 items assessing 13 major psychiatric symptom clusters. To date, minimal literature has examined the factor structure of the CCSM and its utility identifying significant psychological distress, and existing studies pose notable limitations. Four hundred (400) American adults (M age = 34.13; 50.2% female) participated online via Amazon Mechanical Turk as part of a larger study, which included the CCSM. The sample was randomly split to conduct exploratory and confirmatory factor analyses (EFAs and CFAs). EFAs revealed structures with one (general psychopathology) and two (externalizing/serious mental illness and internalizing/affective) factors accounting for 67.3% and 73.7% of the variance, respectively. CFAs indicated good fit for both models, though statistical comparison of the models via χ2 difference test revealed the two-factor model provided significantly better fit. Areas under the receiver operating curve (AUCs) suggested that all CCSM variables of interest poorly differentiated those currently receiving mental health treatment from those who have never received mental health treatment (AUCs ranged from .57 to .68). Implications of these findings, various limitations, and recommendations for future lines of inquiry were discussed.