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641 to 650 of 659 Results
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.
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.
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