Presentation on theme: "Path Analysis SAS/Calis. Read in the Data options formdlim='-' nodate pagno=min; TITLE 'Path Analysis, Ingram Data' ; data Ingram(type=corr); INPUT _TYPE_."— Presentation transcript:
Path Analysis SAS/Calis
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;
N MEAN STD CORR Attitude CORR Subnorm CORR PBC CORR Intent CORR Behavior
Conduct the Analysis Proc Calis PRINT; PRINT adds to the default output the total effects matrix (and some other things)
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
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.
Linear Equations STD e1-e2 = V1-V2; run; The error terms be estimated as parameters V1 and V2.
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.
The Path Coefficients Standardized Results for Linear Equations Intent=0.8061*Attitude *SubNorm *PBC Behavior=0.3491*Intent *PBC
The Covariances Standardized Results for Covariances Among Exogenous Variables Var1Var2Estimate SubNormAttitude PBCAttitude PBCSubNorm