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    Saving inventory - Revised: Psychometric performance across the lifespan

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    Date Issued
    2019-06-01
    Publisher Version
    10.1016/j.jad.2019.04.007
    Author(s)
    Kellman-McFarlane, Kirstie
    Stewart, Brent
    Woody, Sheila
    Ayers, Catherine
    Dozier, Mary
    Frost, Randy O.
    Grisham, Jessica
    Isemann, Simone
    Steketee, Gail
    Tolin, David F.
    Welsted, Alison
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    Permanent Link
    https://hdl.handle.net/2144/38168
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    Accepted manuscript
    Citation (published version)
    Kirstie Kellman-McFarlane, Brent Stewart, Sheila Woody, Catherine Ayers, Mary Dozier, Randy O Frost, Jessica Grisham, Simone Isemann, Gail Steketee, David F Tolin, Alison Welsted. 2019. "Saving inventory - Revised: Psychometric performance across the lifespan.." J Affect Disord, Volume 252, pp. 358 - 364. https://doi.org/10.1016/j.jad.2019.04.007
    Abstract
    BACKGROUND: The Saving Inventory - Revised (SI-R) is the most widely used self-report measure of hoarding symptom severity. The goal of this study is to establish a firm empirical basis for a cutoff score on the SI-R and to examine the functioning of the SI-R as a screening tool and indicator of hoarding symptom severity across the lifespan. METHODS: This study used archival data from 1,116 participants diagnosed with a clinical interview in 14 studies conducted by research groups who focus on hoarding. We used receiver operating characteristic (ROC) analysis and the Youden's J statistic to determine optimal cutoff scores for classifying participants who would be likely to receive a hoarding diagnosis. RESULTS: Overall, the discriminant performance of the SI-R Total score and each of the three subscales was high, confirming the status of the SI-R is an excellent screening tool for differentiating hoarding from non-hoarding cases. The optimal SI-R Total cutoff score is 39, although analyses suggested that older adults require a significantly lower cutoff and adults younger than 40 years require a significantly higher cutoff score. LIMITATIONS: The confidence interval around the optimal cutoff for the SI-R Total score for oldest age group was wide in comparison to those reported for the younger groups, creating more uncertainty around the optimal cutoff score for this group. CONCLUSIONS: This paper provides investigators and clinicians with the data necessary to select evidence-based cutoff scores on the SI-R that optimally suit their relative need for sensitivity and specificity in different age groups.
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