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      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.

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          Most cited references51

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          Individual-patient monitoring in clinical practice: are available health status surveys adequate?

          Interest has increased in recent years in incorporating health status measures into clinical practice for use at the individual-patient level. We propose six measurement standards for individual-patient applications: (1) practical features, (2) breadth of health measured, (3) depth of health measured, (4) precision for cross-sectional assessment, (5) precision for longitudinal monitoring and (6) validity. We evaluate five health status surveys (Functional Status Questionnaire, Dartmouth COOP Poster Charts, Nottingham Health Profile, Duke Health Profile, and SF-36 Health Survey) that have been proposed for use in clinical practice. We conducted an analytical literature review to evaluate the six measurement standards for individual-patient applications across the five surveys. The most problematic feature of the five surveys was their lack of precision for individual-patient applications. Across all scales, reliability standards for individual assessment and monitoring were not satisfied, and the 95% CIs were very wide. There was little evidence of the validity of the five surveys for screening, diagnosing, or monitoring individual patients. The health status surveys examined in this paper may not be suitable for monitoring the health and treatment status of individual patients. Clinical usefulness of existing measures might be demonstrated as clinical experience is broadened. At this time, however, it seems that new instruments, or adaptation of existing measures and scaling methods, are needed for individual-patient assessment and monitoring.
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            Toward a consensual structure of mood.

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              Toward a unified treatment for emotional disorders

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                Author and article information

                Contributors
                amdiaz@uji.es
                vrobles@uji.es
                smor@uji.es
                adriana.mira@uv.es
                squero@uji.es
                azucena@uji.es
                banos@uv.es
                botella@uji.es
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central (London )
                1471-244X
                10 February 2020
                10 February 2020
                2020
                : 20
                : 56
                Affiliations
                [1 ]GRID grid.9612.c, ISNI 0000 0001 1957 9153, Department of Basic and Clinical Psychology, and Psychobiology, , Universitat Jaume I, ; Castellón, Spain
                [2 ]GRID grid.5338.d, ISNI 0000 0001 2173 938X, Department of Personality, Evaluation and Psychological Treatments, , Universidad de Valencia, ; Valencia, Spain
                [3 ]GRID grid.413448.e, ISNI 0000 0000 9314 1427, CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), , Instituto Carlos III, ; Madrid, Spain
                Author information
                http://orcid.org/0000-0003-4398-4014
                Article
                2472
                10.1186/s12888-020-2472-1
                7008531
                32039720
                387b0a87-d9e3-4be9-804b-09b60e6823a7
                © The Author(s). 2020

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 28 June 2019
                : 30 January 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100012514, Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición;
                Funded by: FundRef http://dx.doi.org/10.13039/501100003329, Ministerio de Economía y Competitividad;
                Award ID: BES-2015-072360
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Clinical Psychology & Psychiatry
                positive and negative affect,validation,assessment,psychometrics,online,emotional disorders

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