Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Conceptualizing and testing formative constructs: tutorial and annotated example

Conceptualizing and testing formative constructs: tutorial and annotated example 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGMIS Database Association for Computing Machinery

Conceptualizing and testing formative constructs: tutorial and annotated example

Roberts, Nicholas; Thatcher, Jason
ACM SIGMIS Database , Volume 40 (3) – Jul 30, 2009
Download PDF
31 pages

Loading next page...
 
/lp/association-for-computing-machinery/conceptualizing-and-testing-formative-constructs-tutorial-and-bt0zSjPbra

References (72)

Publisher
Association for Computing Machinery
Copyright
Copyright © 2009 by ACM Inc.
ISSN
0095-0033
DOI
10.1145/1592401.1592405
Publisher site
See Article on Publisher Site

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.

Journal

ACM SIGMIS Database – Association for Computing Machinery

Published: Jul 30, 2009

There are no references for this article.