TY - JOUR
T1 - Confirmatory composite analysis in human development research
AU - Schamberger, Tamara Svenja
AU - Schuberth, Florian
AU - Henseler, Jörg
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: J.H. gratefully acknowledges financial support from FCT Fundação para a Ciência e a Tecnologia (Portugal), and national funding through research grant Information Management Research Center—MagIC/NOVA IMS (UIDB/04152/2020).
Publisher Copyright:
© The Author(s) 2022.
PY - 2023/1
Y1 - 2023/1
N2 - Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no appropriate technique available for assessing composites with the same degree of rigor comparable to that known from CFA. As a remedy, this article presents confirmatory composite analysis (CCA), a statistical approach suitable to assess composites. CCA is a special type of structural equation modeling that consists of model specification, model identification, model estimation, and model assessment. This article explains CCA and its steps. In addition, it illustrates CCA’s use by means of an illustrative example.
AB - Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no appropriate technique available for assessing composites with the same degree of rigor comparable to that known from CFA. As a remedy, this article presents confirmatory composite analysis (CCA), a statistical approach suitable to assess composites. CCA is a special type of structural equation modeling that consists of model specification, model identification, model estimation, and model assessment. This article explains CCA and its steps. In addition, it illustrates CCA’s use by means of an illustrative example.
KW - UT-Hybrid-D
U2 - 10.1177/01650254221117506
DO - 10.1177/01650254221117506
M3 - Article
VL - 47
SP - 89
EP - 100
JO - International journal of behavioral development
JF - International journal of behavioral development
SN - 0165-0254
IS - 1
ER -