Post on 22-Mar-2016
description
Zero-Order Correlations
Attitude SubNorm PBC Intent Behavior
Attitude 1.000 .472 .665 .767 .525
SubNorm .472 1.000 .505 .411 .379
PBC .665 .505 1.000 .458 .496
Intent .767 .411 .458 1.000 .503
Behavior .525 .379 .496 .503 1.000
Read in the Dataoptions formdlim='-' nodate pagno=min;TITLE 'Path Analysis, Ingram Data' ;data Ingram(type=corr);INPUT _TYPE_ $ _NAME_ $ Attitude SubNorm PBC Intent Behavior; CARDS;
N . 60 60 60 60 60MEAN . 32.02 45.71 40.25 16.92 43.92STD . 6.96 12.32 7.62 3.83 16.66CORR Attitude 1 .472 .665 .767 .525CORR Subnorm .472 1 .505 .411 .379CORR PBC .665 .505 1 .458 .496CORR Intent .767 .411 .458 1 .503CORR Behavior .525 .379 .496 .503 1
Conduct the AnalysisProc Calis PRINT;
• PRINT adds to the default output the total effects matrix (and some other things)
Linear EquationsLINEQSIntent = 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 EquationsBehavior = 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.
The Output• The complete output is available online.• Here I shall present the key parts of the
output.
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
Standardized Coefficients Among Exogenous Variables
Var1 Var2 EstimateSubNorm Attitude 0.47200PBC Attitude 0.66500PBC SubNorm 0.50500
Fit Summary Chi-Square 0.8564
Chi-Square DF 2
above .05 is good Pr > Chi-Square 0.6517
below .08 is good Standardized RMSR (SRMSR) 0.0191
above .95 is good Goodness of Fit Index (GFI) 0.9943
below .01 is excellent RMSEA Estimate 0.0000
above .05 is good Probability of Close Fit 0.6905
above .95 is good Bentler Comparative Fit Index 1.0000
above .95 is good Bentler-Bonett NFI 0.9936