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41 to 50 of 673 Results
Adobe PDF - 3.6 MB - MD5: bf14a5cfc25a3dfa753ac0153b842493
R Notebook - 35.7 KB - MD5: de0b1803083116672dae9d80422fe0be
May 11, 2023 - Factor structure of attention bias task
Beevers, Christopher, 2023, "Supplemental Analyses: Bifactor Power Simulations", https://doi.org/10.18738/T8/NHX2VA, Texas Data Repository, V1
Power simulations for bifactor models
Adobe PDF - 163.0 KB - MD5: 944b75a10a5f3944522d0abed4bcb001
PDF of knit 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
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