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651 to 660 of 673 Results

simultaneous_LDS.html May 21, 2018 - Replication data and materials for Positive Imagery Training Increases Positive Self-Referent Cognition in Depression HTML - 3.9 MB - MD5: d47d385211764b19dbb5613f640ad1d4
srp_and_sret.tab May 21, 2018 - Replication data and materials for Positive Imagery Training Increases Positive Self-Referent Cognition in Depression Tabular Data - 7.6 KB - 22 Variables, 77 Observations - UNF:6:xyNy5AcjCrjA1TcXX19D6w==
Training descriptions.docx May 21, 2018 - Replication data and materials for Positive Imagery Training Increases Positive Self-Referent Cognition in Depression MS Word - 17.7 KB - MD5: 80616e94b0ee2cf80ccc081184a2a196
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, 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...
adolescents.tab May 25, 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 Tabular Data - 7.2 KB - 21 Variables, 53 Observations - UNF:6:VU/NihyetA2M0fMiwx/dAw== .Rdata file used for creating models.
adomodel-all.tab May 25, 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 Tabular Data - 6.0 KB - 19 Variables, 53 Observations - UNF:6:PCYcoD4wK+6CiCJl26J+2A== .Rdata file with adolescent best subsets model.
all_fullSRET.tab May 25, 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 Tabular Data - 824.1 KB - 7 Variables, 19230 Observations - UNF:6:kmawaPt21YPL57Xy66cfTg== .Rdata file used for internal reliability analyses.
allthreesamples.tab May 25, 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 Tabular Data - 240.6 KB - 31 Variables, 1309 Observations - UNF:6:BLjx7F+SRVAYe+zIF/dMMw== .Rdata file used for models and summary stats.
correlation tables.Rmd May 25, 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 Unknown - 7.9 KB - MD5: dd3e21dcb2157875b82c87a91b2ac93b R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- correlates outcome variables for all samples.
creating-models.Rmd May 25, 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 Unknown - 4.7 KB - MD5: 9667b25fee28d4bc168eb9e58419c69e R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- shows code for using `beset` to run best subsets models.

simultaneous_LDS.html

May 21, 2018 - Replication data and materials for Positive Imagery Training Increases Positive Self-Referent Cognition in Depression

HTML - 3.9 MB -

srp_and_sret.tab

May 21, 2018 - Replication data and materials for Positive Imagery Training Increases Positive Self-Referent Cognition in Depression

Tabular Data - 7.6 KB - 22 Variables, 77 Observations -

Training descriptions.docx

May 21, 2018 - Replication data and materials for Positive Imagery Training Increases Positive Self-Referent Cognition in Depression

MS Word - 17.7 KB -

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, 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...

adolescents.tab

May 25, 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

Tabular Data - 7.2 KB - 21 Variables, 53 Observations -

.Rdata file used for creating models.

adomodel-all.tab

May 25, 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

Tabular Data - 6.0 KB - 19 Variables, 53 Observations -

.Rdata file with adolescent best subsets model.

all_fullSRET.tab

May 25, 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

Tabular Data - 824.1 KB - 7 Variables, 19230 Observations -

.Rdata file used for internal reliability analyses.

allthreesamples.tab

May 25, 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

Tabular Data - 240.6 KB - 31 Variables, 1309 Observations -

.Rdata file used for models and summary stats.

correlation tables.Rmd

May 25, 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

Unknown - 7.9 KB -

R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- correlates outcome variables for all samples.

creating-models.Rmd

May 25, 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

Unknown - 4.7 KB -

R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- shows code for using `beset` to run best subsets models.

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