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1 to 10 of 14 Results

Acetaminophen and Reflective vs. Reflexive Learning(University of Texas at Austin) Jun 14, 2019 Dataverse contains the data, analysis code, and additional analyses related to the following publication: Pearson, R., Koslov, S., Hamilton, B., Shumake, J., Carver, C. S., & Beevers, C. G. (2018). Acetaminophen enhances the reflective learning process. Social Cognitive and Affec...
Analysis Code and Supplementary Materials 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.
Association between negative cognitive bias and depression: A symptom-level approach(University of Texas at Austin) Aug 8, 2019 This dataverse contains the analysis code and results for the main findings and supplemental materials for the following publication: Beevers, C. G., Mullarkey, M. C., Dainer-Best, J., Stewart, R. A., Labrada, J., Allen, J. J. B., … Shumake, J. (2019). Association between negativ...
Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change Dataverse(University of Texas at Austin) Jul 1, 2019 Data for published article: Beevers, C. G., Clasen, P. C., Enock, P. M., & Schnyer, D. M. (2015). Attention bias modification for major depressive disorder: Effects on attention bias, resting state connectivity, and symptom change. Journal of Abnormal Psychology, 124(3), 463–475....
Data and analysis code for "Acetaminophen enhances the reflective learning process" 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.
Data and analysis code for "Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change" 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.
Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Dataverse(University of Texas at Austin) May 2, 2017
Multifactorial Prediction of Depression Diagnosis and Symptom Dimensions(University of Texas at Austin) Sep 12, 2019 This is the 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. Th...
Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression 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...
Replication data and materials for Positive Imagery Training Increases Positive Self-Referent Cognition in Depression(The University of Texas at Austin) May 21, 2018 This dataverse includes replication data and materials for the article entitled "Positive Imagery Training Increases Positive Self-Referent Cognition in Depression".

Acetaminophen and Reflective vs. Reflexive Learning(University of Texas at Austin)

Jun 14, 2019

Dataverse contains the data, analysis code, and additional analyses related to the following publication: Pearson, R., Koslov, S., Hamilton, B., Shumake, J., Carver, C. S., & Beevers, C. G. (2018). Acetaminophen enhances the reflective learning process. Social Cognitive and Affec...

Analysis Code and Supplementary Materials

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.

Association between negative cognitive bias and depression: A symptom-level approach(University of Texas at Austin)

Aug 8, 2019

This dataverse contains the analysis code and results for the main findings and supplemental materials for the following publication: Beevers, C. G., Mullarkey, M. C., Dainer-Best, J., Stewart, R. A., Labrada, J., Allen, J. J. B., … Shumake, J. (2019). Association between negativ...

Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change Dataverse(University of Texas at Austin)

Jul 1, 2019

Data for published article: Beevers, C. G., Clasen, P. C., Enock, P. M., & Schnyer, D. M. (2015). Attention bias modification for major depressive disorder: Effects on attention bias, resting state connectivity, and symptom change. Journal of Abnormal Psychology, 124(3), 463–475....

Data and analysis code for "Acetaminophen enhances the reflective learning process"

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.

Data and analysis code for "Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change"

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.

Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Dataverse(University of Texas at Austin)

May 2, 2017

Multifactorial Prediction of Depression Diagnosis and Symptom Dimensions(University of Texas at Austin)

Sep 12, 2019

This is the 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. Th...

Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression

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...

Replication data and materials for Positive Imagery Training Increases Positive Self-Referent Cognition in Depression(The University of Texas at Austin)

May 21, 2018

This dataverse includes replication data and materials for the article entitled "Positive Imagery Training Increases Positive Self-Referent Cognition in Depression".

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