The University of Texas at Austin Dataverse Collection serves as a platform for publishing and archiving the University's research data. It was established to help UT Austin's research community meet the data sharing requirements of funders and publishers, to facilitate data citation, to promote collaboration, to enable reproducibility, and to encourage data reuse.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

122,571 to 122,580 of 122,600 Results
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.
data distributions.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 - 7.1 KB - MD5: fb6a395a4c46be639a0e2783a0b47bd9
R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- compares theoretical data distributions.
ddm-data.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 - 159.6 KB - 19 Variables, 1240 Observations - UNF:6:KA+ztgowS0ja8kM0NNyTPg==
.Rdata file used for comparing test-retest reliability.
exploring 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 - 16.5 KB - MD5: b2758f6c8ac60aa9009b1177125d54cb
R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- explores best subsets models.
model_summaries.Rdata
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
R Data - 64.8 MB - MD5: 6edd5b9c8db48cabe33e4b35a87f28db
.Rdata file with model summaries.
mtmodel-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 - 6.6 KB - 19 Variables, 55 Observations - UNF:6:JZPeheb6xUDrNUBu7EY2Mw==
.Rdata file with MTurk best subsets model.
mturkers.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 - 8.1 KB - 21 Variables, 55 Observations - UNF:6:A9tIMvDsW+U3NvjdOMEjyA==
.Rdata file used for creating models.
repeated-measures.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 - 80.5 KB - 37 Variables, 334 Observations - UNF:6:ri0sAlh2J8lGMtf35Rmixw==
.Rdata file used for comparing test-retest reliability.
specific_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 - 10.5 KB - MD5: 5e701ebee8c943e1106a4f677ad9d003
R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- creates and compares targeted models.
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.