New method paper published!

28 May 2020

A new research paper by Christian Nitzl, together with Joseph F. Hair Jr. and Matt Howard from the University of South Alabama, entitled "Assessing Measurement Model Quality in PLS-SEM Using Confirmatory Composite Analysis" has been published in the Journal of Business Research. The paper describes the statistical process of validating construct measurements using Confirmatory Composite Analysis (CCA).

A construct measurement serves to make a not directly observable fact measurable. For example, intelligence is not directly observable, but must first be made visible through measurable facts (indicators). Construct validations are also important to make non directly observable facts tangible for predictions. For example, a high "infant mortality rate" in combination with other indicators is a reliable factor for measuring political instability. The question of political instability or stability is a particularly important factor in predicting crises.