Three validation studies of the personality assessment inventory short form.

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Title: Three validation studies of the personality assessment inventory short form.
Authors: Ward, Tara, Arnold, Kaitlin, Cunningham, Marc Clint, Liljequist, Laura
Source: Journal of Clinical Psychology. Dec2018, Vol. 74 Issue 12, p2264-2275. 12p. 4 Charts.
Subjects: Personality assessment, Outpatient medical care, Statistical correlation, Psychometrics, Mental health
Abstract: Objective: We examined the psychometric properties of the Personality Assessment Inventory‐Short Form (PAI‐SF). Method: Study 1 compared single‐session short and full form PAI profiles of 200 outpatients, Study 2 examined PAI forms of 107 nonclinical adults across two administrations, and Study 3 compared correlations between full and short form scales and extratest variables. Results: Study 1 correlations between short and full form scales ranged from 0.85 to 0.95 (Mdn = 0.91), with lower correlations, ranging from 0.59 to 0.86 for clinical scales (Mdn = 0.82), in Study 2. In Study 3 only 4 of 34 correlations differed significantly between extratest variables and the PAI versus the PAI‐SF. Conclusions: These results indicate favorable psychometric properties of the PAI‐SF. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Clinical Psychology is the property of Wiley-Blackwell 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.)
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  Data: Three validation studies of the personality assessment inventory short form.
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  Data: <searchLink fieldCode="AR" term="%22Ward%2C+Tara%22">Ward, Tara</searchLink><br /><searchLink fieldCode="AR" term="%22Arnold%2C+Kaitlin%22">Arnold, Kaitlin</searchLink><br /><searchLink fieldCode="AR" term="%22Cunningham%2C+Marc+Clint%22">Cunningham, Marc Clint</searchLink><br /><searchLink fieldCode="AR" term="%22Liljequist%2C+Laura%22">Liljequist, Laura</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Clinical+Psychology%22">Journal of Clinical Psychology</searchLink>. Dec2018, Vol. 74 Issue 12, p2264-2275. 12p. 4 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Personality+assessment%22">Personality assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Outpatient+medical+care%22">Outpatient medical care</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+health%22">Mental health</searchLink>
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  Label: Abstract
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  Data: Objective: We examined the psychometric properties of the Personality Assessment Inventory‐Short Form (PAI‐SF). Method: Study 1 compared single‐session short and full form PAI profiles of 200 outpatients, Study 2 examined PAI forms of 107 nonclinical adults across two administrations, and Study 3 compared correlations between full and short form scales and extratest variables. Results: Study 1 correlations between short and full form scales ranged from 0.85 to 0.95 (Mdn = 0.91), with lower correlations, ranging from 0.59 to 0.86 for clinical scales (Mdn = 0.82), in Study 2. In Study 3 only 4 of 34 correlations differed significantly between extratest variables and the PAI versus the PAI‐SF. Conclusions: These results indicate favorable psychometric properties of the PAI‐SF. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Clinical Psychology is the property of Wiley-Blackwell 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: 10.1002/jclp.22677
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        Text: English
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        Type: general
      – SubjectFull: Outpatient medical care
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      – SubjectFull: Statistical correlation
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              Text: Dec2018
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              Y: 2018
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