Positive and Negative Affect Schedule (PANAS): psychometric properties of the online Spanish version in a clinical sample with emotional disorders.
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ABSTRACT: BACKGROUND:The Positive and Negative Affect Schedule (PANAS) is the most widely and frequently used scale to assess positive and negative affect. The PANAS has been validated in several languages, and it has shown excellent psychometric properties in the general population and some clinical samples, such as forensic samples, substance users, and adult women with fibromyalgia. Nevertheless, the psychometric properties of the scale have not yet been examined in clinical samples with anxiety, depressive, and adjustment disorders. In addition, the proliferation of Internet-based treatments has led to the development of a wide range of assessments conducted online with digital versions of pen and paper self-report questionnaires. However, no validations have been carried out to analyze the psychometric properties of the online version of the PANAS. The present study investigates the psychometric properties of the online Spanish version of the PANAS in a clinical sample of individuals with emotional disorders. METHODS:The sample was composed of 595 Spanish adult volunteers with a diagnosis of depressive disorder (n?=?237), anxiety disorder (n?=?284), or adjustment disorder (n?=?74). Factor structure, construct validity, internal consistency, and sensitivity to change were analyzed. RESULTS:Confirmatory factor analysis yielded a latent structure of two independent factors, consistent with previous validations of the instrument. The analyses showed adequate convergent and discriminant validity, good internal consistency as well as sensitivity to change. CONCLUSIONS:Overall, the results obtained in this study show that the online version of the PANAS has adequate psychometric properties for the assessment of positive and negative affect in a Spanish clinical population.
SUBMITTER: Diaz-Garcia A
PROVIDER: S-EPMC7008531 | biostudies-literature | 2020 Feb
REPOSITORIES: biostudies-literature
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