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21 to 30 of 695 Results

ques_data_2022.tab Aug 16, 2024 - Stimuli Valence by Depression Severity Interaction paper Tabular Data - 15.0 KB - 27 Variables, 178 Observations - UNF:6:nbVU8GHoNbtGjophzr5PsQ== questionnaire data (2022 sample)
scantime_data_21.tab Aug 16, 2024 - Stimuli Valence by Depression Severity Interaction paper Tabular Data - 129.2 KB - 5 Variables, 2810 Observations - UNF:6:8dRPiH2RH179DqkY9NfCeA== mouse-tracking data (2021 sample)
scantime_data_22.tab Aug 16, 2024 - Stimuli Valence by Depression Severity Interaction paper Tabular Data - 215.7 KB - 5 Variables, 4633 Observations - UNF:6:nkmK4RmNQ8KIQDyuo83+7w== mouse-tracking data (2022 sample)
Valence by Depression Interaction Manuscript(University of Texas at Austin) Aug 16, 2024 This dataverse houses the code and data files supporting our depression severity x valence interaction manuscript.
Cognitive Bias Modification for Depression Nov 8, 2023 - Cognitive Bias Modification for Depression Beevers, Christopher, 2023, "Cognitive Bias Modification for Depression", https://doi.org/10.18738/T8/ZUU9DB, Texas Data Repository, V1 Chapter titled, "Cognitive Bias Modification for Depression" written by Christopher G. Beevers, Mary E. McNamara, Mackenzie Zisser, and Rachel L. Weisenburger for a forthcoming book, APA Handbook of Depression, edited by Jeremy Pettit and Thomas Olino.
Cognitive_Bias_Modification_for_Depression.pdf Nov 8, 2023 - Cognitive Bias Modification for Depression Adobe PDF - 273.2 KB - MD5: 16642b4cd9daad48a92301ced4ed6f6a First draft of chapter. May not be final version.
Cognitive Bias Modification for Depression(University of Texas at Austin) Nov 8, 2023 Chapter titled, "Cognitive Bias Modification for Depression" written by Christopher G. Beevers, Mary E. McNamara, Mackenzie Zisser, and Rachel L. Weisenburger for a forthcoming book, APA Handbook of Depression, edited by Jeremy Pettit and Thomas Olino.
Replication Data for: Conversational Assessment Using Artificial Intelligence is Clinically Indistinguishable from Commonly Used Depression Scales Sep 7, 2023 - Aiberry Dataverse Shumake, Jason; Weisenburger, Rachel; Mullarkey, Michael, 2023, "Replication Data for: Conversational Assessment Using Artificial Intelligence is Clinically Indistinguishable from Commonly Used Depression Scales", https://doi.org/10.18738/T8/JTY5PT, Texas Data Repository, V1 Statistical analysis code and deidentified data for reproducing descriptive statistics and analyses reported in "Conversational Assessment Using Artificial Intelligence is Clinically Indistinguishable from Commonly Used Depression Scales"
aiberry-study-deidentified.RData Sep 7, 2023 - Replication Data for: Conversational Assessment Using Artificial Intelligence is Clinically Indistinguishable from Commonly Used Depression Scales R Data - 43.0 KB - MD5: cf4974a1b5dd5a8c265e379fbadc84da
aiberry-study-results.Rmd Sep 7, 2023 - Replication Data for: Conversational Assessment Using Artificial Intelligence is Clinically Indistinguishable from Commonly Used Depression Scales R Notebook - 6.2 KB - MD5: 8628e91cbe95d97b641c6a03b440a67b

ques_data_2022.tab

Aug 16, 2024 - Stimuli Valence by Depression Severity Interaction paper

Tabular Data - 15.0 KB - 27 Variables, 178 Observations -

questionnaire data (2022 sample)

scantime_data_21.tab

Aug 16, 2024 - Stimuli Valence by Depression Severity Interaction paper

Tabular Data - 129.2 KB - 5 Variables, 2810 Observations -

mouse-tracking data (2021 sample)

scantime_data_22.tab

Aug 16, 2024 - Stimuli Valence by Depression Severity Interaction paper

Tabular Data - 215.7 KB - 5 Variables, 4633 Observations -

mouse-tracking data (2022 sample)

Valence by Depression Interaction Manuscript(University of Texas at Austin)

Aug 16, 2024

This dataverse houses the code and data files supporting our depression severity x valence interaction manuscript.

Cognitive Bias Modification for Depression

Nov 8, 2023 - Cognitive Bias Modification for Depression

Beevers, Christopher, 2023, "Cognitive Bias Modification for Depression", https://doi.org/10.18738/T8/ZUU9DB, Texas Data Repository, V1

Chapter titled, "Cognitive Bias Modification for Depression" written by Christopher G. Beevers, Mary E. McNamara, Mackenzie Zisser, and Rachel L. Weisenburger for a forthcoming book, APA Handbook of Depression, edited by Jeremy Pettit and Thomas Olino.

Cognitive_Bias_Modification_for_Depression.pdf

Nov 8, 2023 - Cognitive Bias Modification for Depression

Adobe PDF - 273.2 KB -

First draft of chapter. May not be final version.

Cognitive Bias Modification for Depression(University of Texas at Austin)

Nov 8, 2023

Replication Data for: Conversational Assessment Using Artificial Intelligence is Clinically Indistinguishable from Commonly Used Depression Scales

Sep 7, 2023 - Aiberry Dataverse

Shumake, Jason; Weisenburger, Rachel; Mullarkey, Michael, 2023, "Replication Data for: Conversational Assessment Using Artificial Intelligence is Clinically Indistinguishable from Commonly Used Depression Scales", https://doi.org/10.18738/T8/JTY5PT, Texas Data Repository, V1

Statistical analysis code and deidentified data for reproducing descriptive statistics and analyses reported in "Conversational Assessment Using Artificial Intelligence is Clinically Indistinguishable from Commonly Used Depression Scales"

aiberry-study-deidentified.RData

Sep 7, 2023 - Replication Data for: Conversational Assessment Using Artificial Intelligence is Clinically Indistinguishable from Commonly Used Depression Scales

R Data - 43.0 KB -

aiberry-study-results.Rmd

Sep 7, 2023 - Replication Data for: Conversational Assessment Using Artificial Intelligence is Clinically Indistinguishable from Commonly Used Depression Scales

R Notebook - 6.2 KB -

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