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1 to 7 of 7 Results
Jun 28, 2018 - Replication Data for: Negative self-referential processing is associated with genetic variation in the serotonin transporter-linked polymorphic region (5-HTTLPR): Evidence from two independent studies
Dainer-Best, Justin, 2017, "Replication Data for: Negative self-referential processing is associated with genetic variation in the serotonin transporter-linked polymorphic region (5-HTTLPR): Evidence from two independent studies", https://doi.org/10.18738/T8/0XZYVX, Texas Data Repository Dataverse, V2, UNF:6:f82kY6siY7RijrgzVrAfnQ== [fileUNF]
This file contains replication data. Abstract: The current research examined whether carriers of the short 5-HTTLPR allele (in SLC6A4), who have been shown to selectively attend to negative information, exhibit a bias towards negative self-referent processing. The self-referent e...
Sep 12, 2019 - Multifactorial Prediction of Depression Diagnosis and Symptom Dimensions
McNamara, Molly, 2019, "Replication Data for: Multifactorial Prediction of Depression Diagnosis and Symptom Dimensions", https://doi.org/10.18738/T8/DEFPNZ, Texas Data Repository Dataverse, V1
Data and code for a submitted manuscript. Abstract: While Major Depressive Disorder (MDD) is a leading cause of disability, prior investigations may have been limited by studying single explanatory factors rather than considering multiple etiologies simultaneously. The current st...
Aug 13, 2018 - Replication data and materials for Positive Imagery Training Increases Positive Self-Referent Cognition in Depression
Dainer-Best, Justin, 2018, "Replication data and materials for Positive Imagery Training Increases Positive Self-Referent Cognition in Depression", https://doi.org/10.18738/T8/RHEMGW, Texas Data Repository Dataverse, V4, UNF:6:FgY50+UEDA/95sPKids5WA== [fileUNF]
This is data for an accepted manuscript. The post-print is available on PsyArXiv; the published article will be available in Behaviour Research and Therapy. Abstract: Depressed adults often show a bias towards negative self-referent processing at the expense of positive self-refe...
May 25, 2017 - Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Dataverse
Dainer-Best, Justin; Lee, Hae Yeon; Shumake, Jason; Yeager, David; Beevers, Christopher, 2017, "Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression", https://doi.org/10.18738/T8/XK5PXX, Texas Data Repository Dataverse, V1, UNF:6:q3PMaMwiCbjLrPJXWpd1cg== [fileUNF]
Abstract: 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...
Jul 1, 2019 - Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change Dataverse
Beevers, Christopher, 2019, "Data and analysis code for "Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change"", https://doi.org/10.18738/T8/1JBY2V, Texas Data Repository Dataverse, V1
Raw data and statistical code accompanied by analysis narrative for reproducing pre- and post-ABM means for attention bias and BDI-II from the published paper. We are providing data to help facilitate meta-analyses in the future.
Jun 14, 2019 - Acetaminophen and Reflective vs. Reflexive Learning
Pearson, Rahel; Koslov, Seth; Hamilton, Bethany; Shumake, Jason; Carver, Charles S.; Beevers, Christopher G., 2019, "Data and analysis code for "Acetaminophen enhances the reflective learning process"", https://doi.org/10.18738/T8/QWXVM2, Texas Data Repository Dataverse, V1
Raw data and statistical code accompanied by analysis narrative for reproducing key results reported in SCAN article.
Aug 8, 2019 - Association between negative cognitive bias and depression: A symptom-level approach
Beevers, Christopher, 2019, "Analysis Code and Supplementary Materials", https://doi.org/10.18738/T8/2QPR9Z, Texas Data Repository Dataverse, V1
These files are the supplementary materials and analysis code used to generate the results reported in the Journal of Abnormal manuscript.
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