Structural Regression Example: Familial Risk and Child Adjustment
Observed Variables
PARPSYCH SES VERBAL VISSPAT MEM READ MATH SPELL MOTIV EXTRA HARM STAB
Latent Variables
RISK ACHCOG ADJUST
Correlation Matrix
1.00
.42 1.00
-.43 -.50 1.00
-.40 -.40 .66 1.00
-.35 -.38 .67 .66 1.00
-.39 -.43 .78 .56 .73 1.00
-.24 -.37 .69 .49 .70 .73 1.00
-.31 -.33 .63 .49 .72 .87 .72 1.00
-.25 -.25 .49 .32 .58 .53 .60 .59 1.00
-.14 -.17 .18 .09 .17 .14 .15 .15 .25 1.00
-.25 -.26 .42 .25 .46 .42 .44 .45 .77 .19 1.00
-.16 -.18 .33 .27 .35 .36 .38 .38 .59 -.29 .58 1.00
Sample Size is 158
Relationships
PARPSYCH SES = RISK
READ MATH SPELL VERBAL VISSPAT MEM = ACHCOG
MOTIV HARM STAB = ADJUST
!Let the errors of VISSPAT and MEM correlate
!Let the errors of VERBAL and MEM correlate
!Let the errors of VERBAL and VISSPAT correlate
!Let the errors of VERBAL and SPELL correlate
!Let the errors of READ and MATH correlate
!Let the errors of MATH and SPELL correlate
!Let the errors of READ and SPELL correlate
!Let the errors of MEM and READ correlate
!ADJUST = ACHCOG
!ACHCOG = RISK
Path Diagram
End of Problem