spss='snijdersbosker.SAV';

model:'A. standard linear regression analysis'  regression continuous   1 /
  toler=1e-008  tolem=0.01  tolran=1e-005  bayes=1  bayess2=1  bayeslat=1
  bayespoi=1
  iterem=250  iternr=50  itersv=50
  iterboot=500
  nseed=0  nseedboot=0
  nrand=10
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent langpost;
replicate schoonr;
predictor iq ses sch_iq sch_ses combi gs;
attr langpost continuous ;
attr iq ordinal ;
attr ses ordinal ;
attr sch_iq ordinal ;
attr sch_ses ordinal ;
attr combi ordinal ;
attr gs ordinal ;
classind iq ses sch_iq sch_ses combi gs;

end;

model:'B. 2-class: intercept+variance class specific' regression continuous   2 /
  toler=1e-008  tolem=0.01  tolran=1e-005  bayes=1  bayess2=1  bayeslat=1
  bayespoi=1
  iterem=250  iternr=50  itersv=50
  iterboot=500
  nseed=2615020  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent langpost;
replicate schoonr;
predictor iq ses sch_iq sch_ses combi gs;
attr langpost continuous ;
attr iq ordinal ;
attr ses ordinal ;
attr sch_iq ordinal ;
attr sch_ses ordinal ;
attr combi ordinal ;
attr gs ordinal ;
classind iq ses sch_iq sch_ses combi gs;

end;

model:'C. 3-class: intercept+variance class specific' regression continuous   3 /
  toler=1e-008  tolem=0.01  tolran=1e-005  bayes=1  bayess2=1  bayeslat=1
  bayespoi=1
  iterem=250  iternr=50  itersv=50
  iterboot=500
  nseed=2294295  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent langpost;
replicate schoonr;
predictor iq ses sch_iq sch_ses combi gs;
attr langpost continuous ;
attr iq ordinal ;
attr ses ordinal ;
attr sch_iq ordinal ;
attr sch_ses ordinal ;
attr combi ordinal ;
attr gs ordinal ;
classind iq ses sch_iq sch_ses combi gs;

end;

model:'D. 4-class: intercept+variance class specific' regression continuous   4 /
  toler=1e-008  tolem=0.01  tolran=1e-005  bayes=1  bayess2=1  bayeslat=1
  bayespoi=1
  iterem=250  iternr=50  itersv=50
  iterboot=500
  nseed=2199515  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent langpost;
replicate schoonr;
predictor iq ses sch_iq sch_ses combi gs;
attr langpost continuous ;
attr iq ordinal ;
attr ses ordinal ;
attr sch_iq ordinal ;
attr sch_ses ordinal ;
attr combi ordinal ;
attr gs ordinal ;
classind iq ses sch_iq sch_ses combi gs;

end;

model:'E. standard (normal) random-intercept model' regression continuous   1 /
  cfn=1  cfnde=20  cfcsp=0
  toler=1e-008  tolem=0.01  tolran=1e-005  bayes=1  bayess2=1  bayeslat=1
  bayespoi=1
  iterem=10  iternr=50  itersv=50
  iterboot=500
  nseed=263452  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent langpost;
replicate schoonr;
predictor iq ses sch_iq sch_ses combi gs;
cfactor 1 <- langpost;
attr langpost continuous ;
attr iq ordinal ;
attr ses ordinal ;
attr sch_iq ordinal ;
attr sch_ses ordinal ;
attr combi ordinal ;
attr gs ordinal ;
classind iq ses sch_iq sch_ses combi gs;

end;

model:'F. 3-class: intercept+iq+variance class specific' regression continuous   3 /
  toler=1e-008  tolem=0.01  tolran=1e-005  bayes=1  bayess2=1  bayeslat=1
  bayespoi=1
  iterem=250  iternr=50  itersv=50
  iterboot=500
  nseed=173631  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent langpost;
replicate schoonr;
predictor iq ses sch_iq sch_ses combi gs;
attr langpost continuous ;
attr iq ordinal ;
attr ses ordinal ;
attr sch_iq ordinal ;
attr sch_ses ordinal ;
attr combi ordinal ;
attr gs ordinal ;
classind ses sch_iq sch_ses combi gs;
restrict iq 1 1 3;
restrictev 1 1 3;

end;

model:'G. 3-class restricted: intercept+iq+variance class specific' regression continuous 3 /
  toler=1e-008  tolem=0.01  tolran=1e-005  bayes=1  bayess2=1  bayeslat=1
  bayespoi=1
  iterem=250  iternr=50  itersv=50
  iterboot=500
  nseed=36266  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent langpost;
replicate schoonr;
predictor iq ses sch_iq sch_ses combi gs;
attr langpost continuous ;
attr iq ordinal ;
attr ses ordinal ;
attr sch_iq ordinal ;
attr sch_ses ordinal ;
attr combi ordinal ;
attr gs ordinal ;
classind ses sch_iq sch_ses combi gs;
restrict iq 1 1 3;
restrictev 1 1 3;

end;