Separating common from unique variance within emotional distress: An examination of reliability and relations to worry.

Andrew J Marshall, Emma Evanovich, Sarah David, Gregory Mumma

Research output: Contribution to journalArticlepeer-review

Abstract

High comorbidity rates among emotional disorders have led researchers to examine transdiagnostic factors that may contribute to shared psychopathology. Bifactor models provide a unique method for examining transdiagnostic variables by modelling the common and unique factors within measures. Previous findings suggest that the bifactor model of the Depression Anxiety and Stress Scale (DASS) may provide a method for examining transdiagnostic factors within emotional disorders. Aims: This study aimed to replicate the bifactor model of the DASS, a multidimensional measure of psychological distress, within a US adult sample and provide initial estimates of the reliability of the general and domain-specific factors. Furthermore, this study hypothesized that Worry, a theorized transdiagnostic variable, would show stronger relations to general emotional distress than domain-specific subscales. Method: Confirmatory factor analysis was used to evaluate the bifactor model structure of the DASS in
Original languageEnglish
Pages (from-to)633-638
JournalBehavioural and Cognitive Psychotherapy
DOIs
StatePublished - 2018

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