Microsoft Word 2007 ichrie conference Proceedings Final-Final 06-06-07. doc

Factor 4: Climate 
1.508 
11.128 
.785 
Good climate 
.894 
Hot and warm weather 
.883 
a
Total variance explained: 67.895(68%) 

Structural Equation Modeling
Structural equation modeling (SEM) has the purpose for simultaneously estimating the relationships 
between latent variables and indicators, and determining the validity and reliability of the measures (Jorskog & 
Sorbom, 1989). Before an evaluation of the structural part of the model, a confirmatory factor analysis (CFA) was 
recommended (Anderson & Gerbing, 1988) and gave further confirmation that the psychometrics of a scale was 
strong (Noar, 2003). CFA was conducted on the measurement model (see Table 2) to confirm the structure found in 
exploratory factor analysis. The CFAs showed that the measurement model produced an acceptable fit to the data. 
 

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