Confirmatory composite analysis in human development research

Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these inaccessible to conventional factor-centric psychometric validation techniques confirmatory factor analysis (CFA). In the context of research, there is currently no appropriate technique available for assessing composites with same degree rigor comparable known from CFA. As a remedy, this article presents (CCA), statistical approach suitable assess composites. CCA special type structural equation modeling consists model specification, identification, estimation, and assessment. This explains its steps. addition, it illustrates CCA’s use by means an illustrative example.