Full Text

Structural Equation

Annette Fahr


Extract

Structural equation modeling (SEM) is a statistical technique that allows tests of complex relationships between large numbers of variables. The term “structural equation modeling” is closely related to terms like covariance structure analysis, causal modeling, or path analysis. According to Kline (2005) , the main characteristics of SEM are as follows. First of all, there has to be a model that shows how variables are related; it has to be specified prior to statistical analysis. The idea of the model may come from theory, from prior research, or from researchers’ specified knowledge and experience. The procedure is mainly confirmatory, and generally researchers decide which are dependent and independent variables and how they are linked by causal relations. When specifying a model one must distinguish between observed and latent variables, or at least explicate at which level a variable is located. Most standard procedures do not allow differentiation between observed and latent variables. As an example, if you want to measure how political orientation influences newspaper usage , you have two abstract constructs that cannot be measured directly. These constructs – or latent variables – have to be operationalized through indicators, or observed variables. So political orientation may be measured through statements like “I want to know what is going on in the world” or “I want ... log in or subscribe to read full text

Log In

You are not currently logged-in to Blackwell Reference Online

If your institution has a subscription, you can log in here:

 

     Forgotten your password?

Find out how to subscribe.

Your library does not have access to this title. Please contact your librarian to arrange access.


[ access key 0 : accessibility information including access key list ] [ access key 1 : home page ] [ access key 2 : skip navigation ] [ access key 6 : help ] [ access key 9 : contact us ] [ access key 0 : accessibility statement ]

Blackwell Publishing Home Page

Blackwell Reference Online ® is a Blackwell Publishing Inc. registered trademark
Technology partner: Semantico Ltd.

Blackwell Publishing and its licensors hold the copyright in all material held in Blackwell Reference Online. No material may be resold or published elsewhere without Blackwell Publishing's written consent, save as authorised by a licence with Blackwell Publishing or to the extent required by the applicable law.

Back to Top