Estimating hierarchical constructs using consistent partial least squares: The case of second-order composites of common factors

Allard C.R. Van Riel, Jörg Henseler, Ildikó Kemény, Zuzana Sasovova

Research output: Contribution to journalArticle

40 Citations (Scopus)
352 Downloads (Pure)

Abstract

Purpose - Many important constructs of business and social sciences are conceptualized as composites of common factors, i.e. as second-order constructs composed of reflectively measured first-order constructs. Current approaches to model this type of second-order construct provide inconsistent estimates and lack a model test that helps assess the existence and/or usefulness of a second-order construct. The purpose of this paper is to present a novel three-stage approach to model, estimate, and test second-order constructs composed of reflectively measured first-order constructs. Design/methodology/approach - The authors compare the efficacy of the proposed three-stage approach with that of the dominant extant approaches, i.e. the repeated indicator approach, the two-stage approach, and the hybrid approach by means of simulated data whose underlying population model is known. Moreover, the authors apply the three-stage approach to a real research setting in business research. Findings - The study based on simulated data illustrates that the three-stage approach is Fisher-consistent, whereas the dominant extant approaches are not. The study based on real data shows that the three-stage approach is meaningfully applicable in typical research settings of business research. Its results can differ substantially from those of the extant approaches. Research limitations/implications - Analysts aiming at modeling composites of common factors should apply the proposed procedure in order to test the existence and/or usefulness of a second-order construct and to obtain consistent estimates. Originality/value - The three-stage approach is the only consistent approach for modeling, estimating, and testing composite second-order constructs made up of reflectively measured first-order constructs.

Original languageEnglish
Pages (from-to)459-477
Number of pages19
JournalIndustrial Management and Data Systems
Volume117
Issue number3
DOIs
Publication statusPublished - 2017

Keywords

  • Composite of common factors
  • Consistency
  • Goodness-of-fit
  • PLS
  • Second-order construct
  • Variance-based structural equation modelling

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