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A clinimetric analysis of the Hopkins Symptom Checklist (SCL-90-R) in general population studies (Denmark, Norway, and Italy).

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Title: A clinimetric analysis of the Hopkins Symptom Checklist (SCL-90-R) in general population studies (Denmark, Norway, and Italy).
Authors: Carrozzino, Danilo (AUTHOR), Vassend, Olav (AUTHOR), Bjørndal, Flemming (AUTHOR), Pignolo, Claudia (AUTHOR), Olsen, Lis Raabæk (AUTHOR), Bech, Per (AUTHOR)
Source: Nordic Journal of Psychiatry. Jul2016, Vol. 70 Issue 5, p374-379. 6p.
Subjects: Pathological psychology, Symptoms, Population health, Mokken model, Public health
Geographic Terms: Italy, Denmark, Norway
Abstract: Background: Although the Symptom Checklist (SCL-90-R) is one of the most widely used self-reported scales covering several psychopathological states, the scalability of the SCL-90-R has been found to be very problematic.Aims: We have performed a clinimetric analysis of the SCL-90-R, taking both its factor structure and scalability (i.e. total scale score a sufficient statistic) into account.Methods: The applicability of the SCL-90-R has been found acceptable in general population studies from Denmark, Norway and Italy. These studies were examined with principal component analysis (PCA) to identify the factor structure. The scalability of the traditional SCL-90-R subscales (i.e. somatization, hostility, and interpersonal sensitivity) as well as the affective subscales (i.e. depression and anxiety and ADHD), were tested by Mokken’s item response theory model.Results: Across the three general population studies the traditional scaled SCL-90-R factor including 83 items was identified by PCA. The Mokken analysis accepted the scalability of both the general factor and the clinical SCL-90-R subscales under examination.Conclusion: The traditional, scaled, general 83 item SCL-90-R scale is a valid measure of general psychopathology. The SCL-90-R subscales of somatization, hostility, and interpersonal sensitivity as well as the affective subscales of depression, anxiety, and ADHD were all accepted by the Mokken test for scalability, i.e. their total scores are sufficient statistics. [ABSTRACT FROM AUTHOR]
Copyright of Nordic Journal of Psychiatry is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Label: Title
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  Data: A clinimetric analysis of the Hopkins Symptom Checklist (SCL-90-R) in general population studies (Denmark, Norway, and Italy).
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  Data: <searchLink fieldCode="AR" term="%22Carrozzino%2C+Danilo%22">Carrozzino, Danilo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vassend%2C+Olav%22">Vassend, Olav</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bjørndal%2C+Flemming%22">Bjørndal, Flemming</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pignolo%2C+Claudia%22">Pignolo, Claudia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Olsen%2C+Lis+Raabæk%22">Olsen, Lis Raabæk</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bech%2C+Per%22">Bech, Per</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Nordic+Journal+of+Psychiatry%22">Nordic Journal of Psychiatry</searchLink>. Jul2016, Vol. 70 Issue 5, p374-379. 6p.
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  Data: <searchLink fieldCode="DE" term="%22Pathological+psychology%22">Pathological psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Symptoms%22">Symptoms</searchLink><br /><searchLink fieldCode="DE" term="%22Population+health%22">Population health</searchLink><br /><searchLink fieldCode="DE" term="%22Mokken+model%22">Mokken model</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health%22">Public health</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Italy%22">Italy</searchLink><br /><searchLink fieldCode="DE" term="%22Denmark%22">Denmark</searchLink><br /><searchLink fieldCode="DE" term="%22Norway%22">Norway</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: Although the Symptom Checklist (SCL-90-R) is one of the most widely used self-reported scales covering several psychopathological states, the scalability of the SCL-90-R has been found to be very problematic.Aims: We have performed a clinimetric analysis of the SCL-90-R, taking both its factor structure and scalability (i.e. total scale score a sufficient statistic) into account.Methods: The applicability of the SCL-90-R has been found acceptable in general population studies from Denmark, Norway and Italy. These studies were examined with principal component analysis (PCA) to identify the factor structure. The scalability of the traditional SCL-90-R subscales (i.e. somatization, hostility, and interpersonal sensitivity) as well as the affective subscales (i.e. depression and anxiety and ADHD), were tested by Mokken’s item response theory model.Results: Across the three general population studies the traditional scaled SCL-90-R factor including 83 items was identified by PCA. The Mokken analysis accepted the scalability of both the general factor and the clinical SCL-90-R subscales under examination.Conclusion: The traditional, scaled, general 83 item SCL-90-R scale is a valid measure of general psychopathology. The SCL-90-R subscales of somatization, hostility, and interpersonal sensitivity as well as the affective subscales of depression, anxiety, and ADHD were all accepted by the Mokken test for scalability, i.e. their total scores are sufficient statistics. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Nordic Journal of Psychiatry is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3109/08039488.2016.1155235
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      – SubjectFull: Population health
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              Text: Jul2016
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