000			01599naa a2200193uu 4500
001			8091916252110
003			OSt
005			20190211164326.0
008			080919s2008 xx ||||gr |0|| 0 eng d
100	1		_aTENENHAUS, Michel _935616
245	1	0	_aComponent-based structural equation modelling
260			_aOxfordshire, UK : _bTaylor & Francis, _cJuly-August 2008
520	3		_aAbstract
520	3		_aTwo complementary schools have come to the fore in the field of Structural Equation Modelling (SEM): covariance-based SEM and component-based SEM. The first approach has been developed around Karl Jreskog and the second one around Herman Wold under the name 'PLS' (Partial Least Squares). Hwang and Takane have proposed a new component-based SEM method named Generalised Structured Component Analysis. Covariance-based SEM is usually used with an objective of model validation and needs a large sample. Component-based SEM is mainly used for score computation and can be carried out on very small samples. In this research, we will explore the use of ULS-SEM, PLS, GSCA, path analysis on block principal components and path analysis on block scales on customer satisfaction data. Our conclusion is that score computation and bootstrap validation are very insensitive to the choice of the method when the blocks are homogenous
773	0	8	_tTotal quality management & business excellence _g19, 7-8, p. 871-886 _dOxfordshire, UK : Taylor & Francis, July-August 2008 _xISSN 14783363 _w
942			_cS
998			_a20080919 _b1625^b _cTiago
998			_a20081209 _b1030^b _cZailton
999			_aConvertido do Formato PHL _bPHL2MARC21 1.1 _c27589 _d27589
041			_aeng