Statistical analyses
Before testing specific hypotheses, several methodological challenges have to be considered. Firstly, this concerns the age-appropriate operationalization of constructs while maintaining conceptual equivalence (e.g., adolescence-specific content adjustments or change of measures; the transition from parent- to self-report). Secondly, the concepts itself can change (e.g., the dimensional structure of SR becomes more complex with increasing age). To deal with these problems, we use multiple statistical approaches like confirmatory factor analysis for measurement invariance testing, developmental scaling, approximate invariance testing, or directly including the change of structure in the model.Thirdly, methodological challenges arise from the integration of multiple indicators of the same construct due to the comprehensive multi-method and multi-rater assessment of the SR skills. The comprehensive and concurrent examinations of the SR-sub-facets (including self-report, proxy-report (parents, teachers), and behavioral data) will form the basis of the data-driven synthesis of the different assessment methods [