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 |