Probst, T., Kleinstäuber, M., Lambert, M.J. et al. (5 more authors) (2020) Why are some cases not on track? An item analysis of the assessment for signal cases (ASC) during inpatient psychotherapy. Clinical Psychology and Psychotherapy. ISSN 1063-3995
Abstract
Within the Routine Outcome Monitoring System “OQ‐Analyst”, the questionnaire “Assessment for Signal Cases” (ASC) supports therapists in detecting potential reasons for not‐on‐track trajectories. Factor analysis and a machine learning algorithm (Lasso with 10‐fold cross‐validation) were applied and potential predictors of not‐on‐track classifications were tested using logistic multilevel modelling methods. The factor analysis revealed a shortened (30‐item) version of the ASC with good internal consistency (α = 0.72 – 0.89) and excellent predictive value (AUC = 0.98; +PV = 0.95; ‐PV = 0.94). Item‐level analyses showed that interpersonal problems captured by specific ASC items (not feeling able to speak about problems with family members; feeling rejected or betrayed) are the most important predictors of not‐on‐track trajectories.
Metadata
Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 John Wiley & Sons, Ltd. This is an author-produced version of a paper subsequently published in Clinical Psychology and Psychotherapy. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Psychotherapy; progress feedback; routine outcome monitoring; Assessment for Signal Cases |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 05 Mar 2020 10:15 |
Last Modified: | 10 Mar 2020 11:45 |
Status: | Published online |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | https://doi.org/10.1002/cpp.2441 |
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Filename: ASC_item_analysis_2020_pre-print.pdf
