51 to 60 of 695 Results
May 11, 2023 -
Supplemental Analyses: Bifactor Power Simulations
R Notebook - 15.9 KB -
MD5: d7a0fe646b12cca74a24780c2dda7c02
Rmd file |
May 11, 2023 - Factor structure of attention bias task
McNamara, Molly, 2022, "Analysis Code", https://doi.org/10.18738/T8/JCUWXJ, Texas Data Repository, V2
Analysis code for Beyond Face Value: Assessing the Factor Structure of an Eye-Tracking based Attention Bias Task |
May 11, 2023 -
Analysis Code
Adobe PDF - 3.6 MB -
MD5: 78edb9d418b857a3037ed4a7320a8d9d
Compiled pdf of analyses, updated with a table of contents for easy navigation. |
May 11, 2023 -
Analysis Code
R Notebook - 35.5 KB -
MD5: c25b7812bf2d2d78b9230bb083a3e647
rMarkdown for running analyses, updated with a table of contents for easy navigation. |
Apr 5, 2023 - Attention Allocation Mousetracking
McNamara, Molly, 2023, "Supplemental materials for "Attention Allocation for Dysphoric Information in Adults with Depression Symptoms Using Eye-tracking and Mouse-tracking"", https://doi.org/10.18738/T8/TZADHC, Texas Data Repository, V1
R-Markdown and knit pdf for analyses in "Attention Allocation for Dysphoric Information in Adults with Depression Symptoms Using Eye-tracking and Mouse-tracking." Both documents include supplementary analyses. |
Adobe PDF - 17.5 MB -
MD5: df034d30877cc9a54742549adc720d25
PDF of main and supplemental analyses in a knit markdown document |
R Notebook - 46.5 KB -
MD5: 9b9d10456b5dec4a5919f7bd3a71a715
R-Markdown of main and supplemental analyses |
Apr 5, 2023
|
Feb 17, 2023
Ray, Kimberly, 2023, "Altered electroencephalography resting state network coherence in remitted MDD", https://doi.org/10.18738/T8/ASIX6C, Texas Data Repository, V1, UNF:6:zRxEwDn8scOZI4deD7dOcw== [fileUNF]
The main purpose of this work was to approach the EEG data from a framework of examining brain network differences associated with MDD. This was accomplished by using source modeling to localize EEG activity to standard network nodes analogous to those examined in resting state f... |
MATLAB Data - 118.1 KB -
MD5: 2f57d3b737a8e934fec1ac49653e82dd
|