TY  - JOUR
A1  - Schuberth, Florian
A1  - Henseler, Jörg
A1  - Dijkstra, Theo K.
T1  - Partial least squares path modeling using ordinal categorical indicators
JF  - Quality & Quantity
N2  - This article introduces a new consistent variance-based estimator called ordinal consistent partial least squares (OrdPLSc). OrdPLSc completes the family of variance-based estimators consisting of PLS, PLSc, and OrdPLS and permits to estimate structural equation models of composites and common factors if some or all indicators are measured on an ordinal categorical scale. A Monte Carlo simulation (N =500) with different population models shows that OrdPLSc provides almost unbiased estimates. If all constructs are modeled as common factors, OrdPLSc yields estimates close to those of its covariance-based counterpart, WLSMV, but is less efficient. If some constructs are modeled as composites, OrdPLSc is virtually without competition.
KW  - polychoric correlation
KW  - composites
KW  - common factors
KW  - ordinal categorical indicators
KW  - consistent partial least squares
KW  - structural equation models
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-144016
ER  -