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Conceptualizing and testing formative constructs

ACM SIGMIS Database the DATABASE for Advances in Information SystemsPublished 30 July 2009
Nicholas Roberts, Jason Bennett Thatcher
Citations295
SJR quartileQ1
SJR score0.87
SNIP1.14

TL;DR

This tutorial provides a tutorial in which professional reward structure, a formative construct, is tested and validated in two popular structural equation modeling programs: EQS and PLS.

Abstract

Although abundant advice is available for how to develop and validate multi-item scales based on reflective constructs, scant attention has been directed to how to construct and validate formative constructs. Such advice is important because (1) theory suggests many constructs are formative and (2) recent advances in software render testing models with formative constructs more tractable. In this tutorial, our goal is to enhance understanding of formative constructs at the conceptual, statistical and methodological levels. Specifically, we (1) provide general principles for specifying whether a construct should be conceptually modeled as reflective or formative, (2) discuss the statistical logic behind formative constructs, and (3) illustrate how to model and evaluate formative constructs. In particular, we provide a tutorial in which we test and validate professional reward structure, a formative construct, in two popular structural equation modeling programs: EQS and PLS. We conclude with a summary of guidelines for how to conduct and evaluate research using formative constructs.

Keywords

Computer ScienceDecision Sciences