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691 to 695 of 695 Results
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
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