ExploreThe ResiMETA data dictionary provides concise definitions and coding schemes for all variables in the database. It supports consistent data entry, analysis, and interpretation across resilience research studies.
SEEK ID: https://ldh.lir-mainz.imise.uni-leipzig.de/documents/7?version=1
Filename:
ResiMETA_Data_Dictionary_v01.xlsx
Format: Spreadsheet
Size: 254 KB
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Created: 7th Aug 2025 at 10:14
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Version 1 (earliest) Created 7th Aug 2025 at 10:14 by Lea Schaubruch
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Institutions: Leibniz-Institut für Resilienzforschung (LIR) gGmbH
https://orcid.org/0009-0008-3499-3721
ResiMETA is an open-access, continuously updated database for trajectory-based resilience research summarizing over 300 studies on mental health responses to stress and the predictive value of psychosocial resilience factors. It is conducted by the Leibniz Institute for Resilience Research in Mainz, Germany.
Programme: Leibniz-Institut für Resilienzforschung (LIR) gGmbH
Public web page: Not specified
