How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM
Monash University Malaysia · Otto-von-Guericke-Universität Magdeburg · +6 more institutions
Abstract
Higher-order constructs, which facilitate modeling a construct on a more abstract higher-level dimension and its more concrete lower-order subdimensions, have become an increasingly visible trend in applications of partial least squares structural equation modeling (PLS-SEM). Unfortunately, researchers frequently confuse the specification, estimation, and validation of higher-order constructs, for example, when it comes to assessing their reliability and validity. Addressing this concern, this paper explains how to evaluate the results of higher-order constructs in PLS-SEM using the repeated indicators and the two-stage approaches, which feature prominently in applied social sciences research. Focusing on the…
Citation impact
- FWCI
- 202.17
- Percentile
- 100%
- References
- 63
Authors
5- MSMarko SarstedtCorresponding
Monash University Malaysia, Otto-von-Guericke-Universität Magdeburg
- JFJoseph F. HairCorresponding
University of South Alabama
- JCJun‐Hwa CheahCorresponding
Universiti Putra Malaysia
- JBJan-Michael BeckerCorresponding
University of Cologne
- CMChristian M. RingleCorresponding
Universität Hamburg, University of Waikato, Hamburg University of Technology
Topics & keywords
- Structural equation modeling
- Formative assessment
- Construct (python library)
- Computer science
- Partial least squares regression
- Reputation
- Order (exchange)
- Reliability (semiconductor)