** Mx startup successful ** **MX-Linux version 1.52b** The following MX script lines were read for group 1 G1 CALCULATION GROUP CONTROL CORRELATION MATRIX A FACTOR DA CALC NG=8 MATRICES A LO 1 1 FIXED C LO 1 1 FREE H FU 1 1 I ID 1 1 BEGIN ALGEBRA; X = A*A' ; Y = C*C' ; END ALGEBRA; COMPUTE I|H@X+Y_ H@X+Y|I; MATRIX A 0 MATRIX H .5 OPTION RS END The following MX script lines were read for group 2 G2 CALCULATION GROUP CLINICAL CORRELATION MATRIX A FACTOR DA CALC MATRICES A LO 1 1 =A1 C LO 1 1 =C1 H FU 1 1 I ID 1 1 BEGIN ALGEBRA; X = A*A' ; Y = C*C' ; END ALGEBRA ; COMPUTE I|H@X+Y_ H@X+Y|I ; MATRIX H .5 OPTION RS END The following MX script lines were read for group 3 G3 CALCULATION GROUP CONTROL CORRELATION MATRIX AB FACTOR DA CALC MATRICES A LO 1 1 FIXED C LO 1 1 FREE H FU 1 1 I ID 1 1 BEGIN ALGEBRA; X = A*A' ; Y = C*C' ; END ALGEBRA; COMPUTE I|H@X+Y_ H@X+Y|I; MATRIX A 0 MATRIX H .5 OPTION RS END The following MX script lines were read for group 4 G4 CALCULATION GROUP CLINICAL CORRELATION MATRIX AB FACTOR DA CALC MATRICES A LO 1 1 =A3 C LO 1 1 =C3 H FU 1 1 I ID 1 1 BEGIN ALGEBRA; X = A*A' ; Y = C*C' ; END ALGEBRA ; COMPUTE I|H@X+Y_ H@X+Y|I ; MATRIX H .5 OPTION RS END The following MX script lines were read for group 5 G5 CALCULATION GROUP CONTROL CORRELATION MATRIX B FACTOR DA CALC MATRICES A LO 1 1 FIXED C LO 1 1 FREE H FU 1 1 I ID 1 1 BEGIN ALGEBRA; X = A*A' ; Y = C*C' ; END ALGEBRA; COMPUTE I|H@X+Y_ H@X+Y|I; MATRIX A 0 MATRIX H .5 OPTION RS END The following MX script lines were read for group 6 G6 CALCULATION GROUP CLINICAL CORRELATION MATRIX B FACTOR DA CALC MATRICES A LO 1 1 =A5 C LO 1 1 =C5 H FU 1 1 I ID 1 1 BEGIN ALGEBRA; X = A*A' ; Y = C*C' ; END ALGEBRA ; COMPUTE I|H@X+Y_ H@X+Y|I ; MATRIX H .5 OPTION RS END The following MX script lines were read for group 7 THREE DISORDERS MODEL - ATTEMPT PARAMETER RECOVERY DATA NI=6 ORDINAL FI=CONTROL.DAT Ordinal data read initiated NOTE: Rectangular file contained 422 records with data that contained a total of 2532 observations LABELS AGE1 AGE2 SEX1 SEX2 TYPE DUMMY DEFINITION_VARIABLES AGE1 AGE2 SEX1 SEX2 TYPE / NOTE: Definition yields 422 data vectors for analysis NOTE: Vectors contain a total of 422 observations MATRICES A FULL 2 2 =%E1 ! CORR BETWEEN A FACTORS C FULL 2 2 =%E3 ! CORR BETWEEN AB FACTORS B FULL 2 2 =%E5 ! CORR BETWEEN B FACTORS D FULL 1 2 ! MATRIX FOR AGE SIBLING 1& SIBLING 2 E FULL 1 2 ! MATRIX FOR SEX SIBLING 1 & SIBLING 2 P FULL 1 2 ! THRESHOLD FOR A Q FULL 1 2 ! AGE DIFFERENCE IN THRESHOLD FOR A N FULL 1 2 ! SEX DIFFERENCE IN THRESHOLD FOR A R FULL 1 2 ! THRESHOLD FOR AB T FULL 1 2 ! AGE DIFFERENCE FOR THRESHOLD FOR AB I FULL 1 2 ! SEX DIFFERENCE IN THRESHOLD FOR AB U FULL 1 2 ! THRESHOLD FOR B V FULL 1 2 ! AGE DIFFERENCE FOR THRESHOLD FOR B M FULL 1 2 ! SEX DIFFERENCE FOR THRESHOLD FOR B K FULL 1 1 ! VARIANCE OF DUMMY VARIABLE L FULL 4 1 ! FOR EXTRACTING RIGHT PART OF S W FULL 1 1 ! 0 + + THESE ARE TO CONTROL INTEGRAL TYPE Z FULL 1 1 ! 1 - - BEGIN ALGEBRA; ! (P+(D.Q)+(E.N)) ! threshold for A ! (R+(D.T)+(E.I)) ! threshold for AB ! (U+(D.V)+(E.M)) ! threshold for B ! (\muln((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))) ; !lower/lower for A ! (\muln((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))) ; !lower/upper for A ! (\muln((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))) ; !upper/lower for A ! (\muln((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))) ; !upper/upper for A ! (\muln((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))) ; !lower/lower for AB ! (\muln((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))) ; !lower/upper for AB ! (\muln((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))) ; !upper/lower for AB ! (\muln((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|W))) ; !upper/upper for AB F = (\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|Z))) ; !LOWER/LOWER FOR B Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 G = (\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|W))) ; !LOWER/UPPER FOR B Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 H = (\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|Z))) ; !UPPER/LOWER FOR B Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 J = (\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|W))) ; !UPPER/UPPER FOR B Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Y = \MULN(Z_(P+(D.Q)+(E.N))'_Z) ; ! BELOW THRESHOLD ON A O = \MULN(Z_(U+(D.V)+(E.M))'_Z) ; ! BELOW THRESHOLD ON B ! (Z-Y) ! above threshold on A ! (Z-O) ! above threshold on B S = (\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_ ! 1 (\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H_ ! 2 (\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G_ ! 3 (\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_ ! 4 (\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_ ! 5 Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O + (\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H_ ! 6 Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).O + (\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G_ ! 7 (\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J_ ! 8 (\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G_ ! 9 (\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H_ ! 10 (\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J + Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O)_ ! 11 (\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J + Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O)_ ! 12 (\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_ ! 13 (\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H + (Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O_ ! 14 (\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G + (Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).O_ ! 15 (\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J + (Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O) + (Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O) + (\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|W))); ! 16 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 END ALGEBRA; MATRIX L 1 1 1 1 MATRIX K .159154943 MATRIX W 0 MATRIX Z 1 SPECIFY P 100 100 SPECIFY Q 101 101 SPECIFY N 102 102 SPECIFY R 103 103 SPECIFY T 104 104 SPECIFY I 105 105 SPECIFY U 106 106 SPECIFY V 107 107 SPECIFY M 108 108 !Start .6 all MATRIX P 2 2 MATRIX R 2 2 MATRIX U 2 2 SPECIFY D AGE1 AGE2; SPECIFY E SEX1 SEX2; SPECIFY L -5 0 -5 0; MEANS W; COVARIANCE K; WEIGHT (\PART(S,L)) / !Option RS User-def OPTION RS END The following MX script lines were read for group 8 THREE DISORDERS MODEL - CLINICAL DATA DATA NI=6 ORDINAL FI=CLINICAL.DAT Ordinal data read initiated NOTE: Rectangular file contained 253 records with data that contained a total of 1518 observations LABELS AGE1 AGE2 SEX1 SEX2 TYPE DUMMY DEFINITION_VARIABLES AGE1 AGE2 SEX1 SEX2 TYPE / Note: Global variable previously defined. Updating AGE1 Note: Global variable previously defined. Updating AGE2 Note: Global variable previously defined. Updating SEX1 Note: Global variable previously defined. Updating SEX2 Note: Global variable previously defined. Updating TYPE NOTE: Definition yields 253 data vectors for analysis NOTE: Vectors contain a total of 253 observations MATRICES A FULL 2 2 =%E2 ! CORR BETWEEN A FACTORS C FULL 2 2 =%E4 ! CORR BETWEEN AB FACTORS B FULL 2 2 =%E6 ! CORR BETWEEN B FACTORS D FULL 1 2 ! MATRIX FOR AGE SIBLING 1& SIBLING 2 E FULL 1 2 ! MATRIX FOR SEX SIBLING 1 & SIBLING 2 P FULL 1 2 =P7 ! THRESHOLD FOR A Q FULL 1 2 =Q7! AGE DIFFERENCE IN THRESHOLD FOR A N FULL 1 2 =N7! SEX DIFFERENCE IN THRESHOLD FOR A R FULL 1 2 =R7! THRESHOLD FOR AB T FULL 1 2 =T7! AGE DIFFERENCE FOR THRESHOLD FOR AB I FULL 1 2 =I7! SEX DIFFERENCE IN THRESHOLD FOR AB U FULL 1 2 =U7! THRESHOLD FOR B V FULL 1 2 =V7! AGE DIFFERENCE FOR THRESHOLD FOR B M FULL 1 2 =M7! SEX DIFFERENCE FOR THRESHOLD FOR B K FULL 1 1 ! VARIANCE OF DUMMY VARIABLE L FULL 4 1 ! FOR EXTRACTING RIGHT PART OF S W FULL 1 1 ! 0 + + THESE ARE TO CONTROL INTEGRAL TYPE Z FULL 1 1 ! 1 - - X FULL 1 1 FREE ! ASCERTAINMENT PARAMETER BEGIN ALGEBRA; ! (P+(D.Q)+(E.N)) ! threshold for A ! (R+(D.T)+(E.I)) ! threshold for AB ! (U+(D.V)+(E.M)) ! threshold for B ! (\muln((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))) ; !lower/lower for A ! (\muln((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))) ; !lower/upper for A ! (\muln((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))) ; !upper/lower for A ! (\muln((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))) ; !upper/upper for A ! (\muln((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))) ; !lower/lower for AB ! (\muln((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))) ; !lower/upper for AB ! (\muln((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))) ; !upper/lower for AB ! (\muln((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|W))) ; !upper/upper for AB F = (\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|Z))) ; !LOWER/LOWER FOR B Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 G = (\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|W))) ; !LOWER/UPPER FOR B Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 H = (\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|Z))) ; !UPPER/LOWER FOR B Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 J = (\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|W))) ; !UPPER/UPPER FOR B Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Y = \MULN(Z_(P+(D.Q)+(E.N))'_Z) ; ! BELOW THRESHOLD ON A O = \MULN(Z_(U+(D.V)+(E.M))'_Z) ; ! BELOW THRESHOLD ON B ! (Z-Y) ! above threshold on A ! (Z-O) ! above threshold on B S = (Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H)_ ! 2 (X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F)_ ! 4 (Z+X).(Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O + (\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H)_ ! 6 (Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J)_ ! 8 (X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G)_ ! 9 (Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H)_ ! 10 (Z+X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J + Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O))_ ! 11 (Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J + Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O))_ ! 12 (X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F)_ ! 13 (Z+X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H + (Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O)_ ! 14 (X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G + (Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).O)_ ! 15 (Z+X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J + (Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O) + (Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O) + (\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|W)))); ! 16 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 Problem with correlation between variables 2 and 1 It is supplied as 1.000000000000000 which has absolute value > .99 END ALGEBRA; MATRIX L 1 1 1 1 MATRIX K .159154943 MATRIX W 0 MATRIX Z 1 MATRIX X .5 SPECIFY D AGE1 AGE2; SPECIFY E SEX1 SEX2; SPECIFY L -5 0 -5 0; MEANS W; COVARIANCE K; WEIGHT (\PART((S%( \SUM(S)_\SUM(S)_\SUM(S)_\SUM(S)_\SUM(S)_\SUM(S)_\SUM(S)_\SUM(S)_\SUM(S)_\SUM(S)_\SUM(S)_\SUM(S))),L)) / OPTION TH=-3 !Start .5 all !Option RS User-def OPTION RS END Summary of VL file data for group 7 TYPE SEX2 SEX1 AGE2 AGE1 Code -5.0000E+00 -4.0000E+00 -3.0000E+00 -2.0000E+00 -1.0000E+00 Number 4.2200E+02 4.2200E+02 4.2200E+02 4.2200E+02 4.2200E+02 Mean 1.6303E+00 5.4976E-01 9.1943E-01 1.6690E+01 1.6478E+01 Variance 3.8017E+00 2.4752E-01 7.4077E-02 1.1376E+01 2.2599E+00 Minimum 1.0000E+00 0.0000E+00 0.0000E+00 1.0960E+01 1.1960E+01 Maximum 1.6000E+01 1.0000E+00 1.0000E+00 2.4950E+01 2.1050E+01 DUMMY Code 1.0000E+00 Number 4.2200E+02 Mean 1.0000E+00 Variance 2.6940E-16 Minimum 1.0000E+00 Maximum 1.0000E+00 Summary of VL file data for group 8 TYPE SEX2 SEX1 AGE2 AGE1 DUMMY Code -5.0000 -4.0000 -3.0000 -2.0000 -1.0000 1.0000 Number 253.0000 253.0000 253.0000 253.0000 253.0000 253.0000 Mean 3.1779 0.5375 0.9289 17.0966 16.4344 1.0000 Variance 7.7826 0.2486 0.0661 10.7495 1.4494 0.0000 Minimum 1.0000 0.0000 0.0000 11.1500 13.0900 1.0000 Maximum 12.0000 1.0000 1.0000 24.5500 19.7100 1.0000 PARAMETER SPECIFICATIONS GROUP NUMBER: 1 G1 CALCULATION GROUP control Correlation matrix A factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 It has no free parameters specified MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 1 MATRIX H This is a FULL matrix of order 1 by 1 It has no free parameters specified MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX Y This is a computed FULL matrix of order 1 by 1 It has no free parameters specified GROUP NUMBER: 2 G2 CALCULATION GROUP clinical Correlation matrix A factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 It has no free parameters specified MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 1 MATRIX H This is a FULL matrix of order 1 by 1 It has no free parameters specified MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX Y This is a computed FULL matrix of order 1 by 1 It has no free parameters specified GROUP NUMBER: 3 G3 CALCULATION GROUP control Correlation matrix AB factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 It has no free parameters specified MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 2 MATRIX H This is a FULL matrix of order 1 by 1 It has no free parameters specified MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX Y This is a computed FULL matrix of order 1 by 1 It has no free parameters specified GROUP NUMBER: 4 G4 CALCULATION GROUP clinical Correlation matrix AB factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 It has no free parameters specified MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 2 MATRIX H This is a FULL matrix of order 1 by 1 It has no free parameters specified MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX Y This is a computed FULL matrix of order 1 by 1 It has no free parameters specified GROUP NUMBER: 5 G5 CALCULATION GROUP control Correlation matrix B factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 It has no free parameters specified MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 3 MATRIX H This is a FULL matrix of order 1 by 1 It has no free parameters specified MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX Y This is a computed FULL matrix of order 1 by 1 It has no free parameters specified GROUP NUMBER: 6 G6 CALCULATION GROUP clinical Correlation matrix B factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 It has no free parameters specified MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 3 MATRIX H This is a FULL matrix of order 1 by 1 It has no free parameters specified MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX Y This is a computed FULL matrix of order 1 by 1 It has no free parameters specified GROUP NUMBER: 7 Three disorders model - attempt parameter recovery MATRIX A This is a constrained FULL matrix of order 2 by 2 It has no free parameters specified MATRIX B This is a constrained FULL matrix of order 2 by 2 It has no free parameters specified MATRIX C This is a constrained FULL matrix of order 2 by 2 It has no free parameters specified MATRIX D This is a FULL matrix of order 1 by 2 1 2 1 -1 -2 MATRIX E This is a FULL matrix of order 1 by 2 1 2 1 -3 -4 MATRIX F This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX G This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX H This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX I This is a FULL matrix of order 1 by 2 1 2 1 105 105 MATRIX J This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX K This is a FULL matrix of order 1 by 1 It has no free parameters specified MATRIX L This is a FULL matrix of order 4 by 1 1 1 -5 2 0 3 -5 4 0 MATRIX M This is a FULL matrix of order 1 by 2 1 2 1 108 108 MATRIX N This is a FULL matrix of order 1 by 2 1 2 1 102 102 MATRIX O This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX P This is a FULL matrix of order 1 by 2 1 2 1 100 100 MATRIX Q This is a FULL matrix of order 1 by 2 1 2 1 101 101 MATRIX R This is a FULL matrix of order 1 by 2 1 2 1 103 103 MATRIX S This is a computed FULL matrix of order 16 by 1 It has no free parameters specified MATRIX T This is a FULL matrix of order 1 by 2 1 2 1 104 104 MATRIX U This is a FULL matrix of order 1 by 2 1 2 1 106 106 MATRIX V This is a FULL matrix of order 1 by 2 1 2 1 107 107 MATRIX W This is a FULL matrix of order 1 by 1 It has no free parameters specified MATRIX Y This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX Z This is a FULL matrix of order 1 by 1 It has no free parameters specified GROUP NUMBER: 8 Three disorders model - clinical data MATRIX A This is a constrained FULL matrix of order 2 by 2 It has no free parameters specified MATRIX B This is a constrained FULL matrix of order 2 by 2 It has no free parameters specified MATRIX C This is a constrained FULL matrix of order 2 by 2 It has no free parameters specified MATRIX D This is a FULL matrix of order 1 by 2 1 2 1 -1 -2 MATRIX E This is a FULL matrix of order 1 by 2 1 2 1 -3 -4 MATRIX F This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX G This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX H This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX I This is a FULL matrix of order 1 by 2 1 2 1 105 105 MATRIX J This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX K This is a FULL matrix of order 1 by 1 It has no free parameters specified MATRIX L This is a FULL matrix of order 4 by 1 1 1 -5 2 0 3 -5 4 0 MATRIX M This is a FULL matrix of order 1 by 2 1 2 1 108 108 MATRIX N This is a FULL matrix of order 1 by 2 1 2 1 102 102 MATRIX O This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX P This is a FULL matrix of order 1 by 2 1 2 1 100 100 MATRIX Q This is a FULL matrix of order 1 by 2 1 2 1 101 101 MATRIX R This is a FULL matrix of order 1 by 2 1 2 1 103 103 MATRIX S This is a computed FULL matrix of order 12 by 1 It has no free parameters specified MATRIX T This is a FULL matrix of order 1 by 2 1 2 1 104 104 MATRIX U This is a FULL matrix of order 1 by 2 1 2 1 106 106 MATRIX V This is a FULL matrix of order 1 by 2 1 2 1 107 107 MATRIX W This is a FULL matrix of order 1 by 1 It has no free parameters specified MATRIX X This is a FULL matrix of order 1 by 1 1 1 109 MATRIX Y This is a computed FULL matrix of order 1 by 1 It has no free parameters specified MATRIX Z This is a FULL matrix of order 1 by 1 It has no free parameters specified Mx starting optimization; number of parameters = 13 *** WARNING! *** I am not sure I have found a solution that satisfies Kuhn-Tucker conditions for a minimum. NAG's IFAIL parameter is 1 We probably have a minimum here, but you might consider trying different starting values. You can randomize these with TH=n on the OU line, where n is the number of times you wish to do this. I STRONGLY recommend BOundaries to be set if you use TH MX PARAMETER ESTIMATES GROUP NUMBER: 1 G1 CALCULATION GROUP control Correlation matrix A factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5274 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2781 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2781 2 0.2781 1.0000 GROUP NUMBER: 2 G2 CALCULATION GROUP clinical Correlation matrix A factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5274 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2781 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2781 2 0.2781 1.0000 GROUP NUMBER: 3 G3 CALCULATION GROUP control Correlation matrix AB factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5215 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2720 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2720 2 0.2720 1.0000 GROUP NUMBER: 4 G4 CALCULATION GROUP clinical Correlation matrix AB factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5215 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2720 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2720 2 0.2720 1.0000 GROUP NUMBER: 5 G5 CALCULATION GROUP control Correlation matrix B factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5475 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2998 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2998 2 0.2998 1.0000 GROUP NUMBER: 6 G6 CALCULATION GROUP clinical Correlation matrix B factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5475 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2998 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2998 2 0.2998 1.0000 GROUP NUMBER: 7 Three disorders model - attempt parameter recovery MATRIX A This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2781 2 0.2781 1.0000 MATRIX B This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2998 2 0.2998 1.0000 MATRIX C This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2720 2 0.2720 1.0000 MATRIX D This is a FULL matrix of order 1 by 2 1 2 1 12.8900 13.9100 MATRIX E This is a FULL matrix of order 1 by 2 1 2 1 0.0000 1.0000 MATRIX F This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|Z)))] 1 1 0.9470 MATRIX G This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|W)))] 1 1 0.0300 MATRIX H This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|Z)))] 1 1 0.0202 MATRIX I This is a FULL matrix of order 1 by 2 1 2 1 -0.2789 -0.2789 MATRIX J This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|W)))] 1 1 0.0027 MATRIX K This is a FULL matrix of order 1 by 1 1 1 0.1592 MATRIX L This is a FULL matrix of order 4 by 1 1 1 1.0000 2 1.0000 3 1.0000 4 1.0000 MATRIX M This is a FULL matrix of order 1 by 2 1 2 1 -0.0902 -0.0902 MATRIX N This is a FULL matrix of order 1 by 2 1 2 1 -0.1714 -0.1714 MATRIX O This is a computed FULL matrix of order 1 by 1 [=\MULN(Z_(U+(D.V)+(E.M))'_Z)] 1 1 0.9770 MATRIX P This is a FULL matrix of order 1 by 2 1 2 1 3.8083 3.8083 MATRIX Q This is a FULL matrix of order 1 by 2 1 2 1 -0.1050 -0.1050 MATRIX R This is a FULL matrix of order 1 by 2 1 2 1 3.5766 3.5766 MATRIX S This is a computed FULL matrix of order 16 by 1 [=(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O+(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H_Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).O+(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O)_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O)_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).O_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O)+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O)+(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|W)))] 1 1 9.0378E-01 2 1.9319E-02 3 2.8607E-02 4 6.0330E-03 5 1.3160E-02 6 6.3970E-03 7 1.7744E-02 8 2.6105E-03 9 1.9096E-04 10 2.8131E-04 11 1.6485E-04 12 4.4554E-04 13 4.7426E-04 14 5.4620E-05 15 1.3798E-04 16 5.9946E-04 MATRIX T This is a FULL matrix of order 1 by 2 1 2 1 -0.0871 -0.0871 MATRIX U This is a FULL matrix of order 1 by 2 1 2 1 2.7942 2.7942 MATRIX V This is a FULL matrix of order 1 by 2 1 2 1 -0.0619 -0.0619 MATRIX W This is a FULL matrix of order 1 by 1 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=\MULN(Z_(P+(D.Q)+(E.N))'_Z)] 1 1 0.9930 MATRIX Z This is a FULL matrix of order 1 by 1 1 1 1.0000 Matrix of EXPECTED thresholds DUMMY Threshold 1 0.0000 (OBSERVED MATRIX is nonexistent for raw data) EXPECTED COVARIANCE MATRIX DUMMY DUMMY 0.1592 Function value of this group: 1230.9313 Where the fit function is -2 * Log-likelihood of raw ordinal GROUP NUMBER: 8 Three disorders model - clinical data MATRIX A This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2781 2 0.2781 1.0000 MATRIX B This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2998 2 0.2998 1.0000 MATRIX C This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2720 2 0.2720 1.0000 MATRIX D This is a FULL matrix of order 1 by 2 1 2 1 15.0800 18.1900 MATRIX E This is a FULL matrix of order 1 by 2 1 2 1 1.0000 0.0000 MATRIX F This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|Z)))] 1 1 0.9195 MATRIX G This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|W)))] 1 1 0.0422 MATRIX H This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|Z)))] 1 1 0.0328 MATRIX I This is a FULL matrix of order 1 by 2 1 2 1 -0.2789 -0.2789 MATRIX J This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|W)))] 1 1 0.0056 MATRIX K This is a FULL matrix of order 1 by 1 1 1 0.1592 MATRIX L This is a FULL matrix of order 4 by 1 1 1 1.0000 2 1.0000 3 1.0000 4 1.0000 MATRIX M This is a FULL matrix of order 1 by 2 1 2 1 -0.0902 -0.0902 MATRIX N This is a FULL matrix of order 1 by 2 1 2 1 -0.1714 -0.1714 MATRIX O This is a computed FULL matrix of order 1 by 1 [=\MULN(Z_(U+(D.V)+(E.M))'_Z)] 1 1 0.9616 MATRIX P This is a FULL matrix of order 1 by 2 1 2 1 3.8083 3.8083 MATRIX Q This is a FULL matrix of order 1 by 2 1 2 1 -0.1050 -0.1050 MATRIX R This is a FULL matrix of order 1 by 2 1 2 1 3.5766 3.5766 MATRIX S This is a computed FULL matrix of order 12 by 1 [=(Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H)_(X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F)_(Z+X).(Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O+(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H)_(Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J)_(X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G)_(Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H)_(Z+X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O))_(Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O))_(X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F)_(Z+X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O)_(X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).O)_(Z+X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O)+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O)+(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|W))))] 1 1 2.9879E-02 2 3.0289E-03 3 2.5006E-02 4 5.0602E-03 5 1.3886E-04 6 8.3939E-04 7 1.0848E-03 8 9.3994E-04 9 3.4454E-04 10 5.7328E-04 11 9.4152E-05 12 2.3321E-03 MATRIX T This is a FULL matrix of order 1 by 2 1 2 1 -0.0871 -0.0871 MATRIX U This is a FULL matrix of order 1 by 2 1 2 1 2.7942 2.7942 MATRIX V This is a FULL matrix of order 1 by 2 1 2 1 -0.0619 -0.0619 MATRIX W This is a FULL matrix of order 1 by 1 1 1 0.0000 MATRIX X This is a FULL matrix of order 1 by 1 1 1 0.1919 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=\MULN(Z_(P+(D.Q)+(E.N))'_Z)] 1 1 0.9800 MATRIX Z This is a FULL matrix of order 1 by 1 1 1 1.0000 Matrix of EXPECTED thresholds DUMMY Threshold 1 0.0000 (OBSERVED MATRIX is nonexistent for raw data) EXPECTED COVARIANCE MATRIX DUMMY DUMMY 0.1592 Function value of this group: 1166.0645 Where the fit function is -2 * Log-likelihood of raw ordinal *** WARNING! *** Minimization may not be successful. See above CODE GREEN - it probably was OK Your model has 13 estimated parameters and 675 Observed statistics -2 times log-likelihood of data >>> 2396.996 Degrees of freedom >>>>>>>>>>>>>>>> 662 Now I'm trying to improve on the current solution for you... Mx starting optimization; number of parameters = 13 MX PARAMETER ESTIMATES GROUP NUMBER: 1 G1 CALCULATION GROUP control Correlation matrix A factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5274 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2781 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2781 2 0.2781 1.0000 GROUP NUMBER: 2 G2 CALCULATION GROUP clinical Correlation matrix A factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5274 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2781 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2781 2 0.2781 1.0000 GROUP NUMBER: 3 G3 CALCULATION GROUP control Correlation matrix AB factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5215 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2720 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2720 2 0.2720 1.0000 GROUP NUMBER: 4 G4 CALCULATION GROUP clinical Correlation matrix AB factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5215 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2720 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2720 2 0.2720 1.0000 GROUP NUMBER: 5 G5 CALCULATION GROUP control Correlation matrix B factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5475 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2998 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2998 2 0.2998 1.0000 GROUP NUMBER: 6 G6 CALCULATION GROUP clinical Correlation matrix B factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5475 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2998 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2998 2 0.2998 1.0000 GROUP NUMBER: 7 Three disorders model - attempt parameter recovery MATRIX A This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2781 2 0.2781 1.0000 MATRIX B This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2998 2 0.2998 1.0000 MATRIX C This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2720 2 0.2720 1.0000 MATRIX D This is a FULL matrix of order 1 by 2 1 2 1 12.8900 13.9100 MATRIX E This is a FULL matrix of order 1 by 2 1 2 1 0.0000 1.0000 MATRIX F This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|Z)))] 1 1 0.9470 MATRIX G This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|W)))] 1 1 0.0300 MATRIX H This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|Z)))] 1 1 0.0202 MATRIX I This is a FULL matrix of order 1 by 2 1 2 1 -0.2789 -0.2789 MATRIX J This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|W)))] 1 1 0.0027 MATRIX K This is a FULL matrix of order 1 by 1 1 1 0.1592 MATRIX L This is a FULL matrix of order 4 by 1 1 1 1.0000 2 1.0000 3 1.0000 4 1.0000 MATRIX M This is a FULL matrix of order 1 by 2 1 2 1 -0.0902 -0.0902 MATRIX N This is a FULL matrix of order 1 by 2 1 2 1 -0.1714 -0.1714 MATRIX O This is a computed FULL matrix of order 1 by 1 [=\MULN(Z_(U+(D.V)+(E.M))'_Z)] 1 1 0.9770 MATRIX P This is a FULL matrix of order 1 by 2 1 2 1 3.8083 3.8083 MATRIX Q This is a FULL matrix of order 1 by 2 1 2 1 -0.1050 -0.1050 MATRIX R This is a FULL matrix of order 1 by 2 1 2 1 3.5766 3.5766 MATRIX S This is a computed FULL matrix of order 16 by 1 [=(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O+(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H_Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).O+(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O)_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O)_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).O_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O)+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O)+(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|W)))] 1 1 9.0378E-01 2 1.9319E-02 3 2.8607E-02 4 6.0330E-03 5 1.3160E-02 6 6.3970E-03 7 1.7744E-02 8 2.6105E-03 9 1.9096E-04 10 2.8131E-04 11 1.6485E-04 12 4.4554E-04 13 4.7426E-04 14 5.4620E-05 15 1.3798E-04 16 5.9946E-04 MATRIX T This is a FULL matrix of order 1 by 2 1 2 1 -0.0871 -0.0871 MATRIX U This is a FULL matrix of order 1 by 2 1 2 1 2.7942 2.7942 MATRIX V This is a FULL matrix of order 1 by 2 1 2 1 -0.0619 -0.0619 MATRIX W This is a FULL matrix of order 1 by 1 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=\MULN(Z_(P+(D.Q)+(E.N))'_Z)] 1 1 0.9930 MATRIX Z This is a FULL matrix of order 1 by 1 1 1 1.0000 Matrix of EXPECTED thresholds DUMMY Threshold 1 0.0000 (OBSERVED MATRIX is nonexistent for raw data) EXPECTED COVARIANCE MATRIX DUMMY DUMMY 0.1592 Function value of this group: 1230.9313 Where the fit function is -2 * Log-likelihood of raw ordinal GROUP NUMBER: 8 Three disorders model - clinical data MATRIX A This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2781 2 0.2781 1.0000 MATRIX B This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2998 2 0.2998 1.0000 MATRIX C This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2720 2 0.2720 1.0000 MATRIX D This is a FULL matrix of order 1 by 2 1 2 1 15.0800 18.1900 MATRIX E This is a FULL matrix of order 1 by 2 1 2 1 1.0000 0.0000 MATRIX F This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|Z)))] 1 1 0.9195 MATRIX G This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|W)))] 1 1 0.0422 MATRIX H This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|Z)))] 1 1 0.0328 MATRIX I This is a FULL matrix of order 1 by 2 1 2 1 -0.2789 -0.2789 MATRIX J This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|W)))] 1 1 0.0056 MATRIX K This is a FULL matrix of order 1 by 1 1 1 0.1592 MATRIX L This is a FULL matrix of order 4 by 1 1 1 1.0000 2 1.0000 3 1.0000 4 1.0000 MATRIX M This is a FULL matrix of order 1 by 2 1 2 1 -0.0902 -0.0902 MATRIX N This is a FULL matrix of order 1 by 2 1 2 1 -0.1714 -0.1714 MATRIX O This is a computed FULL matrix of order 1 by 1 [=\MULN(Z_(U+(D.V)+(E.M))'_Z)] 1 1 0.9616 MATRIX P This is a FULL matrix of order 1 by 2 1 2 1 3.8083 3.8083 MATRIX Q This is a FULL matrix of order 1 by 2 1 2 1 -0.1050 -0.1050 MATRIX R This is a FULL matrix of order 1 by 2 1 2 1 3.5766 3.5766 MATRIX S This is a computed FULL matrix of order 12 by 1 [=(Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H)_(X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F)_(Z+X).(Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O+(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H)_(Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J)_(X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G)_(Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H)_(Z+X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O))_(Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O))_(X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F)_(Z+X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O)_(X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).O)_(Z+X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O)+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O)+(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|W))))] 1 1 2.9880E-02 2 3.0289E-03 3 2.5006E-02 4 5.0602E-03 5 1.3886E-04 6 8.3939E-04 7 1.0848E-03 8 9.3994E-04 9 3.4454E-04 10 5.7328E-04 11 9.4152E-05 12 2.3321E-03 MATRIX T This is a FULL matrix of order 1 by 2 1 2 1 -0.0871 -0.0871 MATRIX U This is a FULL matrix of order 1 by 2 1 2 1 2.7942 2.7942 MATRIX V This is a FULL matrix of order 1 by 2 1 2 1 -0.0619 -0.0619 MATRIX W This is a FULL matrix of order 1 by 1 1 1 0.0000 MATRIX X This is a FULL matrix of order 1 by 1 1 1 0.1919 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=\MULN(Z_(P+(D.Q)+(E.N))'_Z)] 1 1 0.9800 MATRIX Z This is a FULL matrix of order 1 by 1 1 1 1.0000 Matrix of EXPECTED thresholds DUMMY Threshold 1 0.0000 (OBSERVED MATRIX is nonexistent for raw data) EXPECTED COVARIANCE MATRIX DUMMY DUMMY 0.1592 Function value of this group: 1166.0645 Where the fit function is -2 * Log-likelihood of raw ordinal Your model has 13 estimated parameters and 675 Observed statistics -2 times log-likelihood of data >>> 2396.996 Degrees of freedom >>>>>>>>>>>>>>>> 662 Now I'm trying to improve on the current solution for you... Mx starting optimization; number of parameters = 13 *** WARNING! *** I am not sure I have found a solution that satisfies Kuhn-Tucker conditions for a minimum. NAG's IFAIL parameter is 1 We probably have a minimum here, but you might consider trying different starting values. You can randomize these with TH=n on the OU line, where n is the number of times you wish to do this. I STRONGLY recommend BOundaries to be set if you use TH MX PARAMETER ESTIMATES GROUP NUMBER: 1 G1 CALCULATION GROUP control Correlation matrix A factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5274 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2781 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2781 2 0.2781 1.0000 GROUP NUMBER: 2 G2 CALCULATION GROUP clinical Correlation matrix A factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5274 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2781 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2781 2 0.2781 1.0000 GROUP NUMBER: 3 G3 CALCULATION GROUP control Correlation matrix AB factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5215 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2720 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2720 2 0.2720 1.0000 GROUP NUMBER: 4 G4 CALCULATION GROUP clinical Correlation matrix AB factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5215 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2720 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2720 2 0.2720 1.0000 GROUP NUMBER: 5 G5 CALCULATION GROUP control Correlation matrix B factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5475 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2998 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2998 2 0.2998 1.0000 GROUP NUMBER: 6 G6 CALCULATION GROUP clinical Correlation matrix B factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5475 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2998 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2998 2 0.2998 1.0000 GROUP NUMBER: 7 Three disorders model - attempt parameter recovery MATRIX A This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2781 2 0.2781 1.0000 MATRIX B This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2998 2 0.2998 1.0000 MATRIX C This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2720 2 0.2720 1.0000 MATRIX D This is a FULL matrix of order 1 by 2 1 2 1 12.8900 13.9100 MATRIX E This is a FULL matrix of order 1 by 2 1 2 1 0.0000 1.0000 MATRIX F This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|Z)))] 1 1 0.9470 MATRIX G This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|W)))] 1 1 0.0300 MATRIX H This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|Z)))] 1 1 0.0202 MATRIX I This is a FULL matrix of order 1 by 2 1 2 1 -0.2789 -0.2789 MATRIX J This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|W)))] 1 1 0.0027 MATRIX K This is a FULL matrix of order 1 by 1 1 1 0.1592 MATRIX L This is a FULL matrix of order 4 by 1 1 1 1.0000 2 1.0000 3 1.0000 4 1.0000 MATRIX M This is a FULL matrix of order 1 by 2 1 2 1 -0.0902 -0.0902 MATRIX N This is a FULL matrix of order 1 by 2 1 2 1 -0.1714 -0.1714 MATRIX O This is a computed FULL matrix of order 1 by 1 [=\MULN(Z_(U+(D.V)+(E.M))'_Z)] 1 1 0.9770 MATRIX P This is a FULL matrix of order 1 by 2 1 2 1 3.8083 3.8083 MATRIX Q This is a FULL matrix of order 1 by 2 1 2 1 -0.1050 -0.1050 MATRIX R This is a FULL matrix of order 1 by 2 1 2 1 3.5766 3.5766 MATRIX S This is a computed FULL matrix of order 16 by 1 [=(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O+(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H_Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).O+(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O)_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O)_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).O_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O)+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O)+(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|W)))] 1 1 9.0378E-01 2 1.9319E-02 3 2.8607E-02 4 6.0330E-03 5 1.3160E-02 6 6.3970E-03 7 1.7744E-02 8 2.6105E-03 9 1.9096E-04 10 2.8131E-04 11 1.6485E-04 12 4.4554E-04 13 4.7426E-04 14 5.4620E-05 15 1.3798E-04 16 5.9946E-04 MATRIX T This is a FULL matrix of order 1 by 2 1 2 1 -0.0871 -0.0871 MATRIX U This is a FULL matrix of order 1 by 2 1 2 1 2.7942 2.7942 MATRIX V This is a FULL matrix of order 1 by 2 1 2 1 -0.0619 -0.0619 MATRIX W This is a FULL matrix of order 1 by 1 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=\MULN(Z_(P+(D.Q)+(E.N))'_Z)] 1 1 0.9930 MATRIX Z This is a FULL matrix of order 1 by 1 1 1 1.0000 Matrix of EXPECTED thresholds DUMMY Threshold 1 0.0000 (OBSERVED MATRIX is nonexistent for raw data) EXPECTED COVARIANCE MATRIX DUMMY DUMMY 0.1592 Function value of this group: 1230.9313 Where the fit function is -2 * Log-likelihood of raw ordinal GROUP NUMBER: 8 Three disorders model - clinical data MATRIX A This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2781 2 0.2781 1.0000 MATRIX B This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2998 2 0.2998 1.0000 MATRIX C This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2720 2 0.2720 1.0000 MATRIX D This is a FULL matrix of order 1 by 2 1 2 1 15.0800 18.1900 MATRIX E This is a FULL matrix of order 1 by 2 1 2 1 1.0000 0.0000 MATRIX F This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|Z)))] 1 1 0.9195 MATRIX G This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|W)))] 1 1 0.0422 MATRIX H This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|Z)))] 1 1 0.0328 MATRIX I This is a FULL matrix of order 1 by 2 1 2 1 -0.2789 -0.2789 MATRIX J This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|W)))] 1 1 0.0056 MATRIX K This is a FULL matrix of order 1 by 1 1 1 0.1592 MATRIX L This is a FULL matrix of order 4 by 1 1 1 1.0000 2 1.0000 3 1.0000 4 1.0000 MATRIX M This is a FULL matrix of order 1 by 2 1 2 1 -0.0902 -0.0902 MATRIX N This is a FULL matrix of order 1 by 2 1 2 1 -0.1714 -0.1714 MATRIX O This is a computed FULL matrix of order 1 by 1 [=\MULN(Z_(U+(D.V)+(E.M))'_Z)] 1 1 0.9616 MATRIX P This is a FULL matrix of order 1 by 2 1 2 1 3.8083 3.8083 MATRIX Q This is a FULL matrix of order 1 by 2 1 2 1 -0.1050 -0.1050 MATRIX R This is a FULL matrix of order 1 by 2 1 2 1 3.5766 3.5766 MATRIX S This is a computed FULL matrix of order 12 by 1 [=(Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H)_(X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F)_(Z+X).(Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O+(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H)_(Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J)_(X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G)_(Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H)_(Z+X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O))_(Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O))_(X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F)_(Z+X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O)_(X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).O)_(Z+X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O)+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O)+(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|W))))] 1 1 2.9880E-02 2 3.0289E-03 3 2.5006E-02 4 5.0602E-03 5 1.3886E-04 6 8.3939E-04 7 1.0848E-03 8 9.3994E-04 9 3.4454E-04 10 5.7328E-04 11 9.4152E-05 12 2.3321E-03 MATRIX T This is a FULL matrix of order 1 by 2 1 2 1 -0.0871 -0.0871 MATRIX U This is a FULL matrix of order 1 by 2 1 2 1 2.7942 2.7942 MATRIX V This is a FULL matrix of order 1 by 2 1 2 1 -0.0619 -0.0619 MATRIX W This is a FULL matrix of order 1 by 1 1 1 0.0000 MATRIX X This is a FULL matrix of order 1 by 1 1 1 0.1919 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=\MULN(Z_(P+(D.Q)+(E.N))'_Z)] 1 1 0.9800 MATRIX Z This is a FULL matrix of order 1 by 1 1 1 1.0000 Matrix of EXPECTED thresholds DUMMY Threshold 1 0.0000 (OBSERVED MATRIX is nonexistent for raw data) EXPECTED COVARIANCE MATRIX DUMMY DUMMY 0.1592 Function value of this group: 1166.0645 Where the fit function is -2 * Log-likelihood of raw ordinal *** WARNING! *** Minimization may not be successful. See above CODE GREEN - it probably was OK Your model has 13 estimated parameters and 675 Observed statistics -2 times log-likelihood of data >>> 2396.996 Degrees of freedom >>>>>>>>>>>>>>>> 662 Now I'm trying to improve on the current solution for you... Mx starting optimization; number of parameters = 13 *** WARNING! *** I am not sure I have found a solution that satisfies Kuhn-Tucker conditions for a minimum. NAG's IFAIL parameter is 1 We probably have a minimum here, but you might consider trying different starting values. You can randomize these with TH=n on the OU line, where n is the number of times you wish to do this. I STRONGLY recommend BOundaries to be set if you use TH MX PARAMETER ESTIMATES GROUP NUMBER: 1 G1 CALCULATION GROUP control Correlation matrix A factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5274 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2781 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2781 2 0.2781 1.0000 GROUP NUMBER: 2 G2 CALCULATION GROUP clinical Correlation matrix A factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5274 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2781 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2781 2 0.2781 1.0000 GROUP NUMBER: 3 G3 CALCULATION GROUP control Correlation matrix AB factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5215 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2720 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2720 2 0.2720 1.0000 GROUP NUMBER: 4 G4 CALCULATION GROUP clinical Correlation matrix AB factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5215 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2720 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2720 2 0.2720 1.0000 GROUP NUMBER: 5 G5 CALCULATION GROUP control Correlation matrix B factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5475 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2998 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2998 2 0.2998 1.0000 GROUP NUMBER: 6 G6 CALCULATION GROUP clinical Correlation matrix B factor MATRIX A This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.0000 MATRIX C This is a LOWER TRIANGULAR matrix of order 1 by 1 1 1 0.5475 MATRIX H This is a FULL matrix of order 1 by 1 1 1 0.5000 MATRIX I This is an IDENTITY matrix of order 1 by 1 MATRIX X This is a computed FULL matrix of order 1 by 1 [=A*A'] 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=C*C'] 1 1 0.2998 EXPECTED MATRIX of this CALCULATION group 1 2 1 1.0000 0.2998 2 0.2998 1.0000 GROUP NUMBER: 7 Three disorders model - attempt parameter recovery MATRIX A This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2781 2 0.2781 1.0000 MATRIX B This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2998 2 0.2998 1.0000 MATRIX C This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2720 2 0.2720 1.0000 MATRIX D This is a FULL matrix of order 1 by 2 1 2 1 12.8900 13.9100 MATRIX E This is a FULL matrix of order 1 by 2 1 2 1 0.0000 1.0000 MATRIX F This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|Z)))] 1 1 0.9470 MATRIX G This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|W)))] 1 1 0.0300 MATRIX H This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|Z)))] 1 1 0.0202 MATRIX I This is a FULL matrix of order 1 by 2 1 2 1 -0.2789 -0.2789 MATRIX J This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|W)))] 1 1 0.0027 MATRIX K This is a FULL matrix of order 1 by 1 1 1 0.1592 MATRIX L This is a FULL matrix of order 4 by 1 1 1 1.0000 2 1.0000 3 1.0000 4 1.0000 MATRIX M This is a FULL matrix of order 1 by 2 1 2 1 -0.0902 -0.0902 MATRIX N This is a FULL matrix of order 1 by 2 1 2 1 -0.1714 -0.1714 MATRIX O This is a computed FULL matrix of order 1 by 1 [=\MULN(Z_(U+(D.V)+(E.M))'_Z)] 1 1 0.9770 MATRIX P This is a FULL matrix of order 1 by 2 1 2 1 3.8083 3.8083 MATRIX Q This is a FULL matrix of order 1 by 2 1 2 1 -0.1050 -0.1050 MATRIX R This is a FULL matrix of order 1 by 2 1 2 1 3.5766 3.5766 MATRIX S This is a computed FULL matrix of order 16 by 1 [=(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O+(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H_Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).O+(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O)_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O)_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).O_(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O)+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O)+(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|W)))] 1 1 9.0378E-01 2 1.9319E-02 3 2.8607E-02 4 6.0330E-03 5 1.3160E-02 6 6.3970E-03 7 1.7744E-02 8 2.6105E-03 9 1.9096E-04 10 2.8131E-04 11 1.6485E-04 12 4.4554E-04 13 4.7426E-04 14 5.4620E-05 15 1.3798E-04 16 5.9946E-04 MATRIX T This is a FULL matrix of order 1 by 2 1 2 1 -0.0871 -0.0871 MATRIX U This is a FULL matrix of order 1 by 2 1 2 1 2.7942 2.7942 MATRIX V This is a FULL matrix of order 1 by 2 1 2 1 -0.0619 -0.0619 MATRIX W This is a FULL matrix of order 1 by 1 1 1 0.0000 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=\MULN(Z_(P+(D.Q)+(E.N))'_Z)] 1 1 0.9930 MATRIX Z This is a FULL matrix of order 1 by 1 1 1 1.0000 Matrix of EXPECTED thresholds DUMMY Threshold 1 0.0000 (OBSERVED MATRIX is nonexistent for raw data) EXPECTED COVARIANCE MATRIX DUMMY DUMMY 0.1592 Function value of this group: 1230.9313 Where the fit function is -2 * Log-likelihood of raw ordinal GROUP NUMBER: 8 Three disorders model - clinical data MATRIX A This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2781 2 0.2781 1.0000 MATRIX B This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2998 2 0.2998 1.0000 MATRIX C This is a constrained FULL matrix of order 2 by 2 1 2 1 1.0000 0.2720 2 0.2720 1.0000 MATRIX D This is a FULL matrix of order 1 by 2 1 2 1 15.0800 18.1900 MATRIX E This is a FULL matrix of order 1 by 2 1 2 1 1.0000 0.0000 MATRIX F This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|Z)))] 1 1 0.9195 MATRIX G This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_Z|W)))] 1 1 0.0422 MATRIX H This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|Z)))] 1 1 0.0328 MATRIX I This is a FULL matrix of order 1 by 2 1 2 1 -0.2789 -0.2789 MATRIX J This is a computed FULL matrix of order 1 by 1 [=(\MULN((B_(U+(D.V)+(E.M))_(U+(D.V)+(E.M))_W|W)))] 1 1 0.0056 MATRIX K This is a FULL matrix of order 1 by 1 1 1 0.1592 MATRIX L This is a FULL matrix of order 4 by 1 1 1 1.0000 2 1.0000 3 1.0000 4 1.0000 MATRIX M This is a FULL matrix of order 1 by 2 1 2 1 -0.0902 -0.0902 MATRIX N This is a FULL matrix of order 1 by 2 1 2 1 -0.1714 -0.1714 MATRIX O This is a computed FULL matrix of order 1 by 1 [=\MULN(Z_(U+(D.V)+(E.M))'_Z)] 1 1 0.9616 MATRIX P This is a FULL matrix of order 1 by 2 1 2 1 3.8083 3.8083 MATRIX Q This is a FULL matrix of order 1 by 2 1 2 1 -0.1050 -0.1050 MATRIX R This is a FULL matrix of order 1 by 2 1 2 1 3.5766 3.5766 MATRIX S This is a computed FULL matrix of order 12 by 1 [=(Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H)_(X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F)_(Z+X).(Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O+(\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H)_(Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J)_(X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G)_(Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H)_(Z+X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|Z))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O))_(Z).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_Z|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+Y.(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O))_(X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).F)_(Z+X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).H+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).O)_(X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).G+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).O)_(Z+X).((\MULN((A_(P+(D.Q)+(E.N))_(P+(D.Q)+(E.N))_W|W))).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|Z))).J+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|Z))).(Z-O)+(Z-Y).(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_Z|W))).(Z-O)+(\MULN((C_(R+(D.T)+(E.I))_(R+(D.T)+(E.I))_W|W))))] 1 1 2.9880E-02 2 3.0289E-03 3 2.5006E-02 4 5.0602E-03 5 1.3886E-04 6 8.3939E-04 7 1.0848E-03 8 9.3994E-04 9 3.4454E-04 10 5.7328E-04 11 9.4152E-05 12 2.3321E-03 MATRIX T This is a FULL matrix of order 1 by 2 1 2 1 -0.0871 -0.0871 MATRIX U This is a FULL matrix of order 1 by 2 1 2 1 2.7942 2.7942 MATRIX V This is a FULL matrix of order 1 by 2 1 2 1 -0.0619 -0.0619 MATRIX W This is a FULL matrix of order 1 by 1 1 1 0.0000 MATRIX X This is a FULL matrix of order 1 by 1 1 1 0.1919 MATRIX Y This is a computed FULL matrix of order 1 by 1 [=\MULN(Z_(P+(D.Q)+(E.N))'_Z)] 1 1 0.9800 MATRIX Z This is a FULL matrix of order 1 by 1 1 1 1.0000 Matrix of EXPECTED thresholds DUMMY Threshold 1 0.0000 (OBSERVED MATRIX is nonexistent for raw data) EXPECTED COVARIANCE MATRIX DUMMY DUMMY 0.1592 Function value of this group: 1166.0645 Where the fit function is -2 * Log-likelihood of raw ordinal *** WARNING! *** Minimization may not be successful. See above CODE GREEN - it probably was OK Your model has 13 estimated parameters and 675 Observed statistics -2 times log-likelihood of data >>> 2396.996 Degrees of freedom >>>>>>>>>>>>>>>> 662 This problem used 1.0% of my workspace Task Time elapsed (DD:HH:MM:SS) Reading script & data 0: 0: 0: 0.11 Execution 0: 0: 5:47.23 TOTAL 0: 0: 5:47.34 Total number of warnings issued: 6 ______________________________________________________________________________ ______________________________________________________________________________