Structural equation modeling: Difference between revisions

Revision as of 23:49, 19 April 2006

Revision as of 20:23, 22 April 2006

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'''Structural equation modeling''' (SEM) is a [[statistical]] technique for building and testing [[statistical_modelstatistical model|models]], which are often causal in nature. It is a hybrid technique that encompasses aspects of confirmatory [[factor analysis]], [[path analysis]] and [[regression]]. Indeed all of these can be seen as special cases of SEM.

Among its strengths is the ability to model constructs as latent [[variable|variables]] which are not measured directly, but are estimated in the model from a number of manifest variables assumed to 'tap into' the construct. This allows the modeller to explicitly capture unreliability of measurement in the model, in theory allowing the structural relations between latent variables to be accurately modelled.

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*[http://www.ssicentral.com/lisrel/index.html Lisrel Homepage]

*[http://www.statmodel.com/index.shtml MPLUS Homepage]

*[http://http://www.vcu.edu/mx/ Mx] homepage of the cross-platform Mx software for Structural Equation Modeling.

*[http://www.spss.com SPSS Inc Homepage]

*[http://www.gnu.org/software/pspp/pspp.html GNU PSPP] - a [[Free software|free software]] program designed as a replacement for SPSS