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

651 to 659 of 659 Results
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.
SRET reliability.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 - 38.6 KB - MD5: 33472711bdb8bac29530e9ef86f0c41f
R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- compares internal reliability.
SRET test-retest reliability.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 - 16.2 KB - MD5: 5304a20f47552a3e1136b081c4258d57
R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- tests retest reliability of the SRET.
summary stats.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: 64943add56a031a7aac473d19507da8b
R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- prints summary statistics mostly used for Table 1.
utmodel-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 - 13.3 KB - 19 Variables, 109 Observations - UNF:6:pKJGKIMqqpxEigHUSZQiGg==
.Rdata file with college student best subsets model.
utstudents.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 - 16.4 KB - 21 Variables, 109 Observations - UNF:6:jM4/ZU7C8klUGn33njFIfg==
.Rdata file used for creating models.
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
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.