spss='heinen_mf_reg.sav';

model:'Rasch with E(theta) = 0'  regression ordinal    1 /
  cfn=1  cfnde=10  cfcsp=0
  toler=1e-008  tolem=0.01  tolran=1e-005  bayes=1  bayess2=1  bayeslat=1
  bayespoi=0
  iterem=250  iternr=50  itersv=50
  iterboot=500
  nseed=0  nseedboot=0
  nrand=10
  usemiss=No
  sewald=yes  dummy=no
 outsect=0x1c1f
;
casewgt weight;
dependent response;
replicate id;
predictor item1 item2 item3 item4 item5;
cfactor 1 <- response;
attr response ordinal ;
attr item1 ordinal ;
attr item2 ordinal ;
attr item3 ordinal ;
attr item4 ordinal ;
attr item5 ordinal ;
restrictint 0;

end;
model:'Mixture Rasch with E(theta) = 0'  regression ordinal    2 /
  cfn=1  cfnde=10  cfcsp=0
  toler=1e-008  tolem=0.01  tolran=1e-005  bayes=1  bayess2=1  bayeslat=1
  bayespoi=0
  iterem=250  iternr=50  itersv=100
  iterboot=500
  nseed=0 nseedboot=0
  nrand=20
  usemiss=No
  sewald=yes  dummy=no
 outsect=0x1c1f
;
casewgt weight;
dependent response;
replicate id;
predictor item1 item2 item3 item4 item5;
cfactor 1 <- response;
restrict __intercept__ : 1  1 2;
attr response ordinal ;
attr item1 ordinal ;
attr item2 ordinal ;
attr item3 ordinal ;
attr item4 ordinal ;
attr item5 ordinal ;
restrictint 0 0;
end;

model:'Rasch with delta(1) = 0'  regression ordinal    1 /
  cfn=1  cfnde=10  cfcsp=0
  toler=1e-008  tolem=0.01  tolran=1e-005  bayes=1  bayess2=1  bayeslat=1
  bayespoi=0
  iterem=250  iternr=50  itersv=50
  iterboot=500
  nseed=0  nseedboot=0
  nrand=10
  usemiss=No
  sewald=yes  dummy=no
 outsect=0x1c1f
;
casewgt weight;
dependent response;
replicate id;
predictor item1 item2 item3 item4 item5;
cfactor 1 <- response;
attr response ordinal ;
attr item1 ordinal ;
attr item2 ordinal ;
attr item3 ordinal ;
attr item4 ordinal ;
attr item5 ordinal ;
restrict item1 0;

end;
model:'Mixture Rasch with delta(1) = 0'  regression ordinal    2 /
  cfn=1  cfnde=10  cfcsp=0
  toler=1e-008  tolem=0.01  tolran=1e-005  bayes=1  bayess2=1  bayeslat=1
  bayespoi=0
  iterem=250  iternr=50  itersv=100
  iterboot=500
  nseed=0 nseedboot=0
  nrand=20
  usemiss=No
  sewald=yes  dummy=no
 outsect=0x1c1f
;
casewgt weight;
dependent response;
replicate id;
predictor item1 item2 item3 item4 item5;
cfactor 1 <- response;
restrict __intercept__ : 1  1 2;
attr response ordinal ;
attr item1 ordinal ;
attr item2 ordinal ;
attr item3 ordinal ;
attr item4 ordinal ;
attr item5 ordinal ;
restrict item1 0 0;
end;

model:'Rasch with sum delta(t) =0'  regression ordinal    1 /
  cfn=1  cfnde=10  cfcsp=0
  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  dummy=no
 outsect=0x1c1f
;
casewgt weight;
dependent response;
replicate id;
predictor itemnr;
cfactor 1 <- response;
attr itemnr nominal ;
attr response ordinal ;

end;

model:'Mixture Rasch sum delta(t) =0'  regression ordinal   2 /
  cfn=1  cfnde=10  cfcsp=0
  toler=1e-008  tolem=0.01  tolran=1e-005  bayes=1  bayess2=1  bayeslat=1
  bayespoi=1
  iterem=250  iternr=50  itersv=100
  iterboot=500
  nseed=0  nseedboot=0
  nrand=20
  usemiss=No
  sewald=yes  dummy=no
 outsect=0x1c1f
;
casewgt weight;
dependent response;
replicate id;
predictor itemnr;
cfactor 1 <- response;
restrict __intercept__ : 1  1 2;
attr itemnr nominal ;
attr response ordinal ;

end;

model:'Birnbaum with E(theta) = 0'  regression ordinal    1 /
  cfn=1  cfnde=10  cfcsp=0
  toler=1e-008  tolem=0.01  tolran=1e-005  bayes=1  bayess2=1  bayeslat=1
  bayespoi=0
  iterem=250  iternr=50  itersv=50
  iterboot=500
  nseed=0  nseedboot=0
  nrand=10
  usemiss=No
  sewald=yes  dummy=no
 outsect=0x1c1f
;
casewgt weight;
dependent response;
replicate id;
predictor item1 item2 item3 item4 item5;
cfactor 1 <- item1 item2 item3 item4 item5;
attr response ordinal ;
attr item1 ordinal ;
attr item2 ordinal ;
attr item3 ordinal ;
attr item4 ordinal ;
attr item5 ordinal ;
restrictint 0;

end;

model:'Mixture Birnbaum with E(theta) = 0'  regression ordinal    2 /
  cfn=1  cfnde=10  cfcsp=0
  toler=1e-008  tolem=0.01  tolran=1e-005  bayes=1  bayess2=1  bayeslat=1
  bayespoi=0
  iterem=250  iternr=50  itersv=100
  iterboot=500
  nseed=0 nseedboot=0
  nrand=30
  usemiss=No
  sewald=yes  dummy=no
 outsect=0x1c1f
;
casewgt weight;
dependent response;
replicate id;
predictor item1 item2 item3 item4 item5;
cfactor 1 <- item1 item2 item3 item4 item5;
restrict __intercept__ : 1  1 2;
restrict item1 : 1  1 2;
restrict item2 : 1  1 2;
restrict item3 : 1  1 2;
restrict item4 : 1  1 2;
restrict item5 : 1  1 2;
attr response ordinal ;
attr item1 ordinal ;
attr item2 ordinal ;
attr item3 ordinal ;
attr item4 ordinal ;
attr item5 ordinal ;
restrictint 0 0;
end;