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Carlotta L Rieble

Showing results (1-10 of 6) with videos related to

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Clinical Psychology in Europe|February 15, 2024
Building an Early Warning System for Depression: Rationale, Objectives, and Methods of the WARN-D StudyEiko I Fried, Ricarda K K Proppert, Carlotta L Rieble
Administration and Policy in Mental Health|January 10, 2024
Introducing FRED: Software for Generating Feedback Reports for Ecological Momentary Assessment DataAljoscha Rimpler, Björn S Siepe, Carlotta L Rieble, et al.
Journal of Psychopathology and Clinical Science|July 31, 2025
Associations between ecological momentary assessment and passive sensor data in a large student sampleBjörn S Siepe, Rayyan Tutunji, Carlotta L Rieble, et al.
Psychological Assessment|November 6, 2025
Assessing the internal consistency reliability of ecological momentary assessment measures: Insights from the WARN-D studySebastian Castro-Alvarez, Di Jody Zhou, Laura F Bringmann, et al.
Scientific Reports|April 3, 2026
Using wearable data to detect depression severity across clinical and non-clinical samplesMiriam Ina Hehlmann, Rayyan Tutunji, Wolfgang Lutz, et al.
Psychological Medicine|November 25, 2025
Optimizing the frequency of ecological momentary assessments using signal processingHamidreza Jamalabadi, Tahmineh A Koosha, Elina Stocker, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Clinical Psychology in Europe|February 15, 2024
Building an Early Warning System for Depression: Rationale, Objectives, and Methods of the WARN-D StudyEiko I Fried, Ricarda K K Proppert, Carlotta L Rieble
Administration and Policy in Mental Health|January 10, 2024
Introducing FRED: Software for Generating Feedback Reports for Ecological Momentary Assessment DataAljoscha Rimpler, Björn S Siepe, Carlotta L Rieble, et al.
Journal of Psychopathology and Clinical Science|July 31, 2025
Associations between ecological momentary assessment and passive sensor data in a large student sampleBjörn S Siepe, Rayyan Tutunji, Carlotta L Rieble, et al.
Psychological Assessment|November 6, 2025
Assessing the internal consistency reliability of ecological momentary assessment measures: Insights from the WARN-D studySebastian Castro-Alvarez, Di Jody Zhou, Laura F Bringmann, et al.
Scientific Reports|April 3, 2026
Using wearable data to detect depression severity across clinical and non-clinical samplesMiriam Ina Hehlmann, Rayyan Tutunji, Wolfgang Lutz, et al.
Psychological Medicine|November 25, 2025
Optimizing the frequency of ecological momentary assessments using signal processingHamidreza Jamalabadi, Tahmineh A Koosha, Elina Stocker, et al.
Pageof 1