1. Path Analysis SAS/Calis

2. Read in the Data options formdlim='-' nodate pagno=min; TITLE 'Path Analysis, Ingram Data' ; data Ingram(type=corr); INPUT _TYPE_ $ _NAME_ $ Attitude SubNorm PBC Intent Behavior; CARDS;

3. N. 60 60 60 60 60 MEAN. 32.02 45.71 40.25 16.92 43.92 STD. 6.96 12.32 7.62 3.83 16.66 CORR Attitude 1.472.665.767.525 CORR Subnorm.472 1.505.411.379 CORR PBC.665.505 1.458.496 CORR Intent.767.411.458 1.503 CORR Behavior.525.379.496.503 1

4. Conduct the Analysis Proc Calis PRINT; PRINT adds to the default output the total effects matrix (and some other things)

5. Linear Equations LINEQS Intent = b1 Attitude + b2 SubNorm + b3 PBC + E1, Intent has paths to it from Attitude, SubNorm, PBC, and E1 (the error term) b1, b2, and b3 are the path coefficients that we want SAS to estimate for us

6. Linear Equations Behavior = b4 Intent + b5 PBC + E2; Behavior has paths to it from Intent, PBC, and E2. SAS assumes that the exogenous variables (Attitude, SubNorm, and PBC) are correlated.

7. Linear Equations STD e1-e2 = V1-V2; run; The error terms be estimated as parameters V1 and V2.

8. The Output You will find much of the same output we found earlier with AMOS, but differently formatted. I shall copy just a bit of it here.

9. The Path Coefficients Standardized Results for Linear Equations Intent=0.8061*Attitude+0.0939*SubNorm+-0.1255*PBC Behavior=0.3491*Intent+0.3361*PBC

10. The Covariances Standardized Results for Covariances Among Exogenous Variables Var1Var2Estimate SubNormAttitude0.47200 PBCAttitude0.66500 PBCSubNorm0.50500