Validating formative partial least squares (PLS) models: Methodological review and empirical illustration

Pavel Andreev, Hanan Maoz, Tsipi Heart, Nava Pliskin

Research output: Contribution to conferencePaperpeer-review

137 Scopus citations

Abstract

The issue of formative constructs, as opposed to the more frequently used reflective ones, has recently gained momentum among IS and Management researchers. Most researchers maintain that formative constructs have been understudied, and that there is paucity in methodological literature to guide researchers on how such constructs should be developed and estimated. A survey of IS research has revealed that about 29% of constructs were misspecified as reflective rather than formative constructs. Furthermore, guidelines about how models containing formative constructs should be indentified and estimated are fragmented and inconsistent. Thus, this paper aims to present a methodological review of formative model identification and evaluation. We bring a brief theoretical overview of formative constructs, and put together a guideline for estimating formative measurement and structural models. We then present a simplified model composed of three formative constructs and illustrate how it is assessed and estimated using SmartPLS.

Original languageEnglish
StatePublished - 1 Dec 2009
Event30th International Conference on Information Systems, ICIS 2009 - Phoenix, AZ, United States
Duration: 15 Dec 200918 Dec 2009

Conference

Conference30th International Conference on Information Systems, ICIS 2009
Country/TerritoryUnited States
CityPhoenix, AZ
Period15/12/0918/12/09

Keywords

  • BVIT
  • Formative constructs
  • Partial least squares
  • Pure formative PLS model
  • SmartPLS
  • Validation

ASJC Scopus subject areas

  • Information Systems

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