Ecological Archives E084-073-A4

Michael H. Graham. 2003. Confronting multicollinearity in ecological multiple regression. Ecology 84:2809–2815.

Appendix D. EQS protocol and output for structural equation modeling of the original explanatory variables (same as used in Appendix A). Only truncated EQS output is presented.

EQS file creation protocol

1. Program file was created using TITLE/SPECIFICATIONS under BUILD EQS menu. Use default settings with: normal theory estimators set to ML (maximum likelihood), variables set to 5, and cases set to 38.

2. Create equations using EQUATIONS under BUILD EQS menu.

  a. set number of VARIABLES to 5; set NUMBER OF FACTORS to 2

  b. build the following CREATE EQUATIONS box:

 

F1

F2

Response

OD

BD

LTD

W

E or D

Response

*

           

1

OD

             

1

BD

             

1

LTD

             

1

W

             

1

F1

 

*

     

*

*

1

F2

     

*

*

   

1

 

  c. use default CREATE VARIANCE/COVARIANCE box

3. Run EQS

Subsequent EQS program file
   
1    /TITLE
 
2    EQS model created by EQS 6 for Windows -- c:\eqs6\filename.ess
 
3    /SPECIFICATIONS
 
4    DATA='c:\eqs6\filename.ess';
 
5    VARIABLES=5; CASES=38; GROUPS=1;
 
6    METHODS=ML;
 
7    MATRIX=RAW;
 
8    ANALYSIS=COVARIANCE;
 
9    /LABELS
 
10    V1=Response; V2=OD; V3=BD; V4=LTD; V5=W;
 
11    /EQUATIONS
 
12    V1 =   + *F1   + 1E1;
 
13    F1 =   + *F2   + *V4 + *V5 + 1D1;
 
14    F2 =   + *V2 + *V3 + 1D2;
 
15    /VARIANCES
 
16    V2 = *;
 
17    V3 = *;
 
18    V4 = *;
 
19    V5 = *;
 
20    E1 = *;
 
21    D1 = *;
 
22    D2 = *;
 
23    /COVARIANCES
 
24    /PRINT
 
25    FIT=ALL;
 
26    TABLE=EQUATION;
 
27    /TECHNICAL
 
28    ITERATION= 100;
 
29    EITERATION= 100;
 
30    AITERATION= 100;
 
31    HITERATION= 100;
 
32    /END
 
Maximum likelihood solution (normal distribution theory)
 
EQSstandardized solution:
 
RESPONSE =V1   = 0.860*F1 + 0.510 E1
 
F1 = 0.917*F2 - 0.065*LTD + 0.393*W + 0.000 D1
 
F2 = -0.777*OD + 0.049*BD + 0.627 D2
 
Note: EQS only outputs standardized solutions.   In order to compare among standard, sequential, and pc regression results, eqs standardized regression coefficients were transformed to un-standardized values.   An un-standardized regression coefficient () equaled the standardized regression coefficient (') minus the average value of the variable (ave[x]) divided by the standard deviation of the variable (SD[X]):
 
 
 
EQSun-standardized solution  
 
RESPONSE =V1   = 0.69*F1  
 
F1 = 1.23*F2 - 0.08*LTD + 0.01*W  
 
F2 = -0.20*OD + 0.01*BD  


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