Confirmatory Composite Analysis

Research output: Contribution to conferenceAbstract

158 Downloads (Pure)

Abstract

We introduce confirmatory composite analysis (CCA) as a structural equation modeling technique that aims at testing composite models. CCA entails the same steps as confirmatory factor analysis: model specification, model identification, model estimation, and model testing. Composite models are specified such that they consist of a set of interrelated theoretical constructs, all of which emerge as linear combinations of observed variables. Researchers must ensure theoretical identification of their specified model. For the estimation of the model, several estimators are available; in particular Kettenring’s extensions of canonical correlation analysis provide consistent estimates. Model testing relies on the Bollen-Stine bootstrap to assess the discrepancy between the empirical and the model-implied correlation matrix. A Monte Carlo simulation examines the efficacy of CCA, and demonstrates that CCA is able to detect various forms of model misspecification
Original languageEnglish
Publication statusPublished - 16 Mar 2018
EventMeeting of the Working Group SEM - Amsterdam, Netherlands
Duration: 15 Mar 201816 Mar 2018

Conference

ConferenceMeeting of the Working Group SEM
CountryNetherlands
CityAmsterdam
Period15/03/1816/03/18

Fingerprint Dive into the research topics of 'Confirmatory Composite Analysis'. Together they form a unique fingerprint.

  • Cite this

    Schuberth, F., Henseler, J., & Dijkstra, T. K. (2018). Confirmatory Composite Analysis. Abstract from Meeting of the Working Group SEM, Amsterdam, Netherlands.