Fully Mediated Effects of Formative Measures Using MIMIC Constructs

Authors

James J. Jiang, Australian National UniversityFollow
Jacob C. Tsai, The Australian National UniversityFollow
Gary Klein, University of Colorado at Colorado SpringsFollow
Stacie Petter, University of Nebraska at OmahaFollow

Abstract

Formatively-measured constructs are increasingly applied in information system research models.
Recent work shows that exogenous formatively-measured constructs suffer from a number of problems that include interpretational confounding and a lack of external consistency. Yet replacement by reflectively-measured constructs can lead to bias if not theoretically appropriate. One solution may be to use a MIMIC construct composed of the formative measures as well as two additional reflective measures. A simulation study indicates that a MIMIC so composed mitigates the problems of interpretational confounding and poor external consistency allowing use broader use in a variety of structural models.

Available at: https://aisel.aisnet.org/pajais/vol4/iss2/2/

Recommended Citation

Jiang, James J.; Tsai, Jacob C.; Klein, Gary; and Petter, Stacie (2012) "Fully Mediated Effects of Formative Measures Using MIMIC Constructs," Pacific Asia Journal of the Association for Information Systems: Vol. 4: Iss. 2, Article 2.
DOI: 10.17705/1pais.04201
Available at: https://aisel.aisnet.org/pajais/vol4/iss2/2

DOI

10.17705/1pais.04201