Determining optimal parameters of the self-referent encoding task: A large-scale examination of self-referent cognition and depression

Although the self-referent encoding task (SRET) is commonly used to measure self-referent cognition in depression, many different SRET metrics can be obtained. The current study used best subsets regression with cross-validation and independent test samples to identify the SRET metrics most reliably...

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Bibliographic Details
Main Authors: Beevers, C.G (Author), Dainer-Best, J. (Author), Lee, H.Y (Author), Shumake, J.D (Author), Yeager, D.S (Author)
Format: Article
Language:English
Published: American Psychological Association Inc. 2018
Subjects:
Online Access:View Fulltext in Publisher
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020 |a 10403590 (ISSN) 
245 1 0 |a Determining optimal parameters of the self-referent encoding task: A large-scale examination of self-referent cognition and depression 
260 0 |b American Psychological Association Inc.  |c 2018 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1037/pas0000602 
520 3 |a Although the self-referent encoding task (SRET) is commonly used to measure self-referent cognition in depression, many different SRET metrics can be obtained. The current study used best subsets regression with cross-validation and independent test samples to identify the SRET metrics most reliably associated with depression symptoms in three large samples: A college student sample (n = 572), a sample of adults from Amazon Mechanical Turk (n = 293), and an adolescent sample from a school field study (n = 408). Across all 3 samples, SRET metrics associated most strongly with depression severity included number of words endorsed as self-descriptive and rate of accumulation of information required to decide whether adjectives were self-descriptive (i.e., drift rate). These metrics had strong intratask and split-half reliability and high test-retest reliability across a 1-week period. Recall of SRET stimuli and traditional reaction time (RT) metrics were not robustly associated with depression severity. © 2018 American Psychological Association. 
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700 1 |a Beevers, C.G.  |e author 
700 1 |a Dainer-Best, J.  |e author 
700 1 |a Lee, H.Y.  |e author 
700 1 |a Shumake, J.D.  |e author 
700 1 |a Yeager, D.S.  |e author 
773 |t Psychological Assessment