A job satisfaction model (Bagozzi, 1980)-Latent Variable Path Analysis Hands-on Exercise
OBSERVED VARIABLES 
Per1 JS1 JS2 Mot1 Mot2 SE1 SE2 VI1
CORRELATION MATRIX
1.000       
0.418 1.000      
0.394 0.627 1.000     
0.129 0.202 0.266 1.000    
0.189 0.284 0.208 0.365 1.000   
0.544 0.281 0.324 0.201 0.161 1.000  
0.507 0.225 0.314 0.172 0.174 0.546 1.000 
-0.357 -0.156 -0.038 -0.199 -0.277 -0.294 -0.174 1.000
STANDARD DEVIATIONS
2.090 3.430 2.810 1.950 2.060 2.160 2.060 3.650
SAMPLE SIZE is 122
LATENT VARIABLES 
Perform Job_Satis Achiev_Mot Self_Esteem Verbal_Intel
RELATIONSHIPS
!since Per1 is the only indicator of Perform, set its error variance to zero
Per1 = 1*Perform
SET THE ERROR VARIANCE OF Per1 TO ZERO

JS1 = 1*Job_Satis
JS2 = Job_Satis

Mot1 = 1*Achiev_Mot
Mot2 = Achiev_Mot

SE1 = 1*Self_Esteem
SE2 = Self_Esteem

!since VI1 is the only indicator of Verbal Intel., set its error variance to zero
VI1 = 1*Verbal_Intel
SET THE ERROR VARIANCE OF VI1 TO ZERO

!structural equations
Perform = Self_Esteem
Job_Satis = Achiev_Mot Verbal_Intel Perform

PATH DIAGRAM 
END OF PROBLEM