Dataset Handle: 20.500.14123/11687

Daten zur Dissertation "Construction and validation of an online training programme to promote resilience and mindfulness, including empathy, compassion, and gratitude"

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Chronological data

Date of availability in catalog2025-12-10
Available from / since 2025-12-10

Language of the resource

German

Related external resources

Supplement to DOI: 10.1007/s10880-025-10085-1
Bock, L., Westemeyer, L., Moschner, N., Rana, M., & Rana, M. (2025). Resilience Among Healthcare Staff: A Randomized Controlled Trial of a Digital Training Program. Journal of Clinical Psychology in Medical Settings 32, 672–681
Supplement to DOI: 10.1186/s12905-025-03763-7
Bock, L., Rana, M., Rössler, T., & Rana, M. (2025). Can promoting compassion and gratitude through a four-week online training program improve women's mental health? A randomized controlled trial. BMC Women's Health, 25(1), Artikel 361
Supplement to DOI: 10.3390/healthcare12060620
Bock, L., Rana, M., Westemeyer, L., & Rana, M. (2024). Evaluation of a Four-Week Online Resilience Training Program for Multiple Sclerosis Patients. Healthcare (Switzerland), 12(6), Artikel 620

Editor

Other contributors

Abstract

This dataset represents the empirical basis for the dissertation "Construction and validation of an online training programme to promote resilience and mindfulness, including empathy, compassion, and gratitude" and includes survey data and questionnaires used to validate three online training programmes to promote self-empathy, compassion and gratitude.

Resource type

Dataset

Kinds of Data

Survey Data
Survey Instruments / Measuring Instruments

Methods

Computer-assisted questionnaire

Thematic classification

Mentale Gesundheit

Keywords

Mentale Gesundheit; Training; Programm; Internetbasiert; Validierung; Resilienz; Empathie; Mitgefühl; Dankbarkeit; Stress; Wahrnehmung; Mental Health; Training; Programme; Internet-based; Validation; Resilience; Empathy; Compassion; Gratitude; Stress; Perception

Faculty / department

More information

Data Collector

Rightsholder

Time Period of the Collection of the Data

2022 - 2024

Time Period of the Creation of the Dataset

2022 - 2024

Temporal Coverage of the Dataset

Geolocation (Country)

Germany

Geolocation (Region/Location)