  *=================================================================================================================================================
  * Date : 2024-01-23
  * Stata version : Stata 18 SE
  *
  * This program analyses simulated data accounting for DIF through a partial credit model
  *
  * ado-files needed : - pcm (version 5.5 October 25, 2023, available on gitea)
  *
  *
  *================================================================================================================================================

  * Load pcm.ado
  adopath+"/home/corentin/Documents/These/Recherche/Simulations/Modules/"

  *==========================
  * Scenarios with : J=4
  *==========================

  *************************************************** Scenarios with DIF on 1 item

  ************************************************** Scenario 5: J = 4 items / M = 2 modalities / DIF size 0.3
  local N = "50"
  foreach Nnn in `N' {
  local Nn =  `Nnn'
  local path_data = "/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N`Nn'"
  local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N`Nn'"
  local scenarios = "A B C D E F G"
  foreach scen in `scenarios' {
  clear
  import delim "`path_data'/scenario_5`scen'_`Nn'.csv", encoding(ISO-8859-2)  case(preserve) clear
  rename TT tt

  * Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif
  local nbitems = 4
  local nbdif = 1
  local taillemat = `nbitems'+`nbdif'+3
  mat outmat = J(1000,`taillemat',.)
  mat colnames outmat = "item1" "item2" "item3" "item4" "dif1" "beta" "se_beta" "dif_item_1"
  di "Scenario 5`scen' / N=`Nnn'"
  forvalues k=1/1000 {
    if (mod(`k',100)==0) {
      di "`k'/1000"
    }
    preserve
    qui keep if replication==`k'
    local difitems1=dif1
    local mod "gsem "
    forvalues i=1/`nbitems' {
      if (`i'==`difitems1') {
        local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)"
      }
      else {
        local mod = "`mod'"+"(1.item`i'<-THETA@1)"
      }
    }
    local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent"
    qui `mod'
    mat V=r(table)
    mat W=V[1..2,1...]
    forvalues j=1/`nbitems' {
      if (`j'<`difitems1') {
        mat outmat[`k',`j'] = W[1,3*`j'] // items avant le premier dif
      }
      else {
        mat outmat[`k',`j'] = W[1,1+3*`j'] // items après le premier dif
      }
    }
    mat outmat[`k',`nbitems'+1] = W[1,3*`difitems1'-1] // coef de dif
    mat outmat[`k',`nbitems'+2] = W[1,3*`nbitems'+2] // beta
    mat outmat[`k',`nbitems'+3] = W[2,3*`nbitems'+2] // se beta
    mat outmat[`k',`nbitems'+4] = `difitems1' // numéro item de dif
    restore
  }
  putexcel set "`path_res'/out/5`scen'_`Nn'.xls", sheet("outmat") replace
  putexcel A1=matrix(outmat), colnames
}
}


************************************************** Scenario 6: J = 4 items / M = 4 modalities / DIF size 0.3
local N = "50"
foreach Nnn in `N' {
local Nn =  `Nnn'
local path_data = "/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N`Nn'"
local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N`Nn'"
local scenarios = "A B C D E F G"
foreach scen in `scenarios' {
clear
import delim "`path_data'/scenario_6`scen'_`Nn'.csv", encoding(ISO-8859-2)  case(preserve) clear
rename TT tt

* Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif
local nbitems = 4
local nbdif = 1
local taillemat = 3*`nbitems'+`nbdif'+3+2
mat outmat = J(1000,`taillemat',.)
mat colnames outmat = "item1_1" "item1_2" "item1_3" "item2_1" "item2_2" "item2_3" "item3_1" "item3_2" "item3_3" "item4_1" "item4_2" "item4_3" "dif1_1" "dif1_2" "dif1_3" "beta" "se_beta" "dif_item_1"
di "Scenario 6`scen' / N=`Nnn'"
forvalues k=1/1000 {
  if (mod(`k',100)==0) {
    di "`k'/1000"
  }
  preserve
  qui keep if replication==`k'
  local difitems1=dif1
  forvalues i=1/`nbitems' {
    if (`i'==`difitems1') {
      local constrnt = "constraint 1 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
      local constrnt2 = "constraint 2 3*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([3.item`i']_cons-([3.item`i']_cons+[3.item`i'] tt))"
    }
  }
  local mod "gsem "
  forvalues i=1/`nbitems' {
    if (`i'==`difitems1') {
      local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)(3.item`i'<-THETA@3 tt)"
    }
    else {
      local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)(3.item`i'<-THETA@3)"
    }
  }
  local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2)"
  qui `constrnt'
  qui `constrnt2'
  qui `mod'
  mat V=r(table)
  mat W=V[1..2,1...]
  forvalues j=1/`nbitems' {
  if (`j'<`difitems1') {
      mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+3] // items avant le premier dif
      mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+5] // items avant le premier dif
      mat outmat[`k',3*`j'] =   W[1,7*(`j'-1)+7] // items avant le premier dif
      }
  else if (`j'==`difitems1') {
      mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+4] // items du le premier dif
      mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+7] // items du le premier dif
      mat outmat[`k',3*`j'] =   W[1,7*(`j'-1)+10] // items du le premier dif    }
    }
  else {
      mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+6] // items avant le premier dif
      mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+8] // items avant le premier dif
      mat outmat[`k',3*`j'] =   W[1,7*(`j'-1)+10] // items avant le premier dif
    }
  }
    mat outmat[`k',3*`nbitems'+1] = W[1,7*(`difitems1'-1)+2] // coef de dif
    mat outmat[`k',3*`nbitems'+2] = W[1,7*(`difitems1'-1)+5] // coef de dif
    mat outmat[`k',3*`nbitems'+3] = W[1,7*(`difitems1'-1)+8] // coef de dif
    mat outmat[`k',3*`nbitems'+4] = W[1,7*`nbitems'+4] // beta
    mat outmat[`k',3*`nbitems'+5] = W[2,7*`nbitems'+4] // se beta
    mat outmat[`k',3*`nbitems'+6] = `difitems1' // numéro item de dif
    restore
}
putexcel set "`path_res'/out/6`scen'_`Nn'.xls", sheet("outmat") replace
putexcel A1=matrix(outmat), colnames
}
}


************************************************** Scenario 7: J = 4 items / M = 2 modalities / DIF size 0.5
  local N = "50"
  foreach Nnn in `N' {
  local Nn =  `Nnn'
  local path_data = "/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N`Nn'"
  local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N`Nn'"
  local scenarios = "A B C D E F G"
  foreach scen in `scenarios' {
  clear
  import delim "`path_data'/scenario_7`scen'_`Nn'.csv", encoding(ISO-8859-2)  case(preserve) clear
  rename TT tt

  * Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif
  local nbitems = 4
  local nbdif = 1
  local taillemat = `nbitems'+`nbdif'+3
  mat outmat = J(1000,`taillemat',.)
  mat colnames outmat = "item1" "item2" "item3" "item4" "dif1" "beta" "se_beta" "dif_item_1"
  di "Scenario 7`scen' / N=`Nnn'"
  forvalues k=1/1000 {
    if (mod(`k',100)==0) {
      di "`k'/1000"
    }
    preserve
    qui keep if replication==`k'
    local difitems1=dif1
    local mod "gsem "
    forvalues i=1/`nbitems' {
      if (`i'==`difitems1') {
        local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)"
      }
      else {
        local mod = "`mod'"+"(1.item`i'<-THETA@1)"
      }
    }
    local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent"
    qui `mod'
    mat V=r(table)
    mat W=V[1..2,1...]
    forvalues j=1/`nbitems' {
      if (`j'<`difitems1') {
        mat outmat[`k',`j'] = W[1,3*`j'] // items avant le premier dif
      }
      else {
        mat outmat[`k',`j'] = W[1,1+3*`j'] // items après le premier dif
      }
    }
    mat outmat[`k',`nbitems'+1] = W[1,3*`difitems1'-1] // coef de dif
    mat outmat[`k',`nbitems'+2] = W[1,3*`nbitems'+2] // beta
    mat outmat[`k',`nbitems'+3] = W[2,3*`nbitems'+2] // se beta
    mat outmat[`k',`nbitems'+4] = `difitems1' // numéro item de dif
    restore
  }
  putexcel set "`path_res'/out/7`scen'_`Nn'.xls", sheet("outmat") replace
  putexcel A1=matrix(outmat), colnames
}
}



************************************************** Scenario 8: J = 4 items / M = 4 modalities / DIF size 0.5
local N = "50"
foreach Nnn in `N' {
local Nn =  `Nnn'
local path_data = "/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N`Nn'"
local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N`Nn'"
local scenarios = "A B C D E F G"
foreach scen in `scenarios' {
clear
import delim "`path_data'/scenario_8`scen'_`Nn'.csv", encoding(ISO-8859-2)  case(preserve) clear
rename TT tt

* Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif
local nbitems = 4
local nbdif = 1
local taillemat = 3*`nbitems'+`nbdif'+3+2
mat outmat = J(1000,`taillemat',.)
mat colnames outmat = "item1_1" "item1_2" "item1_3" "item2_1" "item2_2" "item2_3" "item3_1" "item3_2" "item3_3" "item4_1" "item4_2" "item4_3" "dif1_1" "dif1_2" "dif1_3" "beta" "se_beta" "dif_item_1"
di "Scenario 8`scen' / N=`Nnn'"
forvalues k=1/1000 {
  if (mod(`k',100)==0) {
    di "`k'/1000"
  }
  preserve
  qui keep if replication==`k'

* MERGE des modalités si non représentées
    local com_z = 0
    qui gen comz = 0
    forvalues j = 1 / `nbitems' {
    local recoda_`j' = 0
    qui tab item`j' if tt == 0, matrow(rect1_g0_`j') matcell(nbrt1_g0_`j')
    local maxm`j'_t1_g0 = rect1_g0_`j'[r(r),1]
    local minm`j'_t1_g0 = rect1_g0_`j'[1,1]

    qui tab item`j' if tt == 1, matrow(rect1_g1_`j') matcell(nbrt1_g1_`j')
    local minm`j'_t1_g1 = rect1_g1_`j'[1,1]
    local maxm`j'_t1_g1 = rect1_g1_`j'[r(r),1]

    local minm_`j' = min(`minm`j'_t1_g0',`minm`j'_t1_g1')
    local maxm_`j' = max(`maxm`j'_t1_g0',`maxm`j'_t1_g1')
    local nbm_`j' =  `=`maxm_`j''-`minm_`j'''

    if `minm_`j'' != 0 & `com_z' == 0 {
      local com_z = 1
    }

    qui count if item`j' == 3 & tt == 0
    local mod3plac = r(N)
    qui count if item`j' == 3 & tt == 1
    local mod3tt = r(N)
    local nb_rn3 = min(`mod3plac',`mod3tt')
    if `nb_rn3'==0 {
      qui replace comz = 1
    }

    forvalues m = 0/`=`nbm_`j''-1' {
      qui count if item`j' == `m' & tt == 0
      local nb_rn1_g0 = r(N)
      qui count if item`j' == `m' & tt == 1
      local nb_rn1_g1 = r(N)
      local nb_rn = min(`nb_rn1_g0',`nb_rn1_g1')
      if `nb_rn' == 0 {
        qui replace comz = 1
        local recoda_`j' = 1
        if  `m' == 0 | `m' < `minm`j'_t1_g0' | `m' < `minm`j'_t1_g1' {
          local stop = 1
          forvalues kk = 1/`=`nbm_`j''-`m'' {
            qui count if item`j' == `=`m' + `kk'' & tt == 0
            local v`kk'1_0 = r(N)
            qui count if item`j' == `=`m' + `kk'' & tt == 1
            local v`kk'1_1 = r(N)
            if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0 {
              qui replace item`j'= `=`m'+`kk'' if item`j'==`m'
              local zzz=`j'+`nbitems'
              *qui replace item`zzz'=`=`m'+`kk'' if item``=`j'+`nbitems'''==`m'
              *di  "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged"
              local stop = 0
            }
          }
        }
        else if `m' == `=`nbm_`j''-1' | `m' >= `maxm`j'_t1_g1' {
          local stop = 1
          forvalues kk = 1/`=`m'' {
            qui count if item`j' == `=`m' - `kk'' & tt == 0
            local v`kk'1_0 = r(N)
            qui count if item`j' == `=`m' - `kk'' & tt == 1
            local v`kk'1_1 = r(N)
            if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0 {
              qui replace item`j'= `=`m' - `kk'' if item`j'==`m'
              local zzz=`j'+`nbitems'
              *qui replace item`zzz'= `=`m' - `kk'' if item`zzz'==`m'
              *di  "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged"
              local stop = 0
            }
          }
        }
        else {
          if runiform()>0.5{
            local stop = 1
            forvalues kk = 1/`m' {
              qui count if item`j' == `=`m' - `kk'' & tt == 0
              local v`kk'1_0 = r(N)
              qui count if item`j' == `=`m' - `kk'' & tt == 1
              local v`kk'1_1 = r(N)
              if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0 {
                qui replace item`j'= `=`m'-`kk'' if item`j'==`m'
                local zzz=`j'+`nbitems'
                *qui replace item`zzz'=`=`m'-`kk'' if item``=`j'+`nbitems'''==`m'
                *di  "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged"
                local stop = 0
              }
            }
          }
          else {
            local stop = 1
            forvalues kk = 1/`=`nbm_`j''-`m'' {
              qui count if item`j' == `=`m' + `kk'' & tt == 0
              local v`kk'1_0 = r(N)
              qui count if item`j' == `=`m' + `kk'' & tt == 1
              local v`kk'1_1 = r(N)
              if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0{
                qui replace item`j'=`=`m' + `kk'' if item`j'==`m'
                local zzz=`j'+`nbitems'
                *qui replace item`zzz'=`=`m' + `kk'' if item``=`j'+`nbitems'''==`m'
                *di  "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged"
                local stop = 0
              }
              else {
                if `stop' != 0 {
                  qui replace item`j'= `nbm_`j'' if item`j'==`m'
                  local zzz=`j'+`nbitems'
                  *qui replace item`zzz'= `nbm_`j'' if item``=`j'+`nbitems'''==`m'
                  *di  "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged"
                  local stop = 0
                }
              }
            }
          }
        }
      }
    }
    qui levelsof item`j'
    local val = r(levels)
    local checker: word 1 of `val'
    local checker2: word 2 of `val'
    local checker3: word 3 of `val'
    if (`checker'!=0) {
      qui recode item`j' (`checker'=0) (`checker2'=1) (`checker3'=2)
    }
    else if (`checker2'!=1) {
      qui recode item`j' (`checker2'=1) (`checker3'=2)
    }
    else if (`checker3'!=2) {
      qui recode item`j' (`checker3'=2)
    }
  }

qui valuesof comz
local val = r(values)
local checker: word 1 of `val'

* replications avec 3 mod
if  (`checker' == 1)  {
local difitems1=dif1
local difcheck = 0
forvalues i=1/`nbitems' {
  qui sum item`i'
  local checker2 = r(max)
  if (`i'==`difitems1') {
    if (`checker2'==3) {
    local difcheck = 1
    local constrnt = "constraint 1 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
    local constrnt2 = "constraint 2 3*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([3.item`i']_cons-([3.item`i']_cons+[3.item`i'] tt))"
    }
    else {
      local constrnt = "constraint 1 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
    }
  }
}
local mod "gsem "
forvalues i=1/`nbitems' {
  qui sum item`i'
  local checker2 = r(max)
  if (`i'==`difitems1') {
    if (`checker2'==3) {
    local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)(3.item`i'<-THETA@3 tt)"
  }
  else {
    local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)"
  }
}
  else {
    if (`checker2'==3) {
    local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)(3.item`i'<-THETA@3)"
    }
    else {
      local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)"
    }
  }
}
if (`difcheck'==1) {
local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2)"
}
if (`difcheck'==0) {
local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1)"
}
qui `constrnt'
if (`difcheck'==1) {
  qui `constrnt2'
}
qui `mod'
mat V=r(table)
mat W=V[1..2,1...]
forvalues j=1/`nbitems' {

    mat outmat[`k',3*`j'-2] = W[1,colnumb(W,"1.item`j':_cons")] // items avant le premier dif
    mat outmat[`k',3*`j'-1] = W[1,colnumb(W,"2.item`j':_cons")] // items avant le premier dif
    mat outmat[`k',3*`j'] =   W[1,colnumb(W,"3.item`j':_cons")] // items avant le premier dif
}
  mat outmat[`k',3*`nbitems'+1] = W[1,colnumb(W,"1.item`difitems1':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+2] = W[1,colnumb(W,"2.item`difitems1':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+3] = W[1,colnumb(W,"3.item`difitems1':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+4] = W[1,colnumb(W,"THETA:tt")] // beta
  mat outmat[`k',3*`nbitems'+5] = W[2,colnumb(W,"THETA:tt")] // se beta
  mat outmat[`k',3*`nbitems'+6] = `difitems1' // numéro item de dif
  restore
}

* replications sans problèmes
else {
local difitems1=dif1
forvalues i=1/`nbitems' {
  if (`i'==`difitems1') {
    local constrnt = "constraint 1 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
    local constrnt2 = "constraint 2 3*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([3.item`i']_cons-([3.item`i']_cons+[3.item`i'] tt))"
  }
}
local mod "gsem "
forvalues i=1/`nbitems' {
  if (`i'==`difitems1') {
    local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)(3.item`i'<-THETA@3 tt)"
  }
  else {
    local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)(3.item`i'<-THETA@3)"
  }
}
local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2)"
qui `constrnt'
qui `constrnt2'
qui `mod'
mat V=r(table)
mat W=V[1..2,1...]
forvalues j=1/`nbitems' {
if (`j'<`difitems1') {
    mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+3] // items avant le premier dif
    mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+5] // items avant le premier dif
    mat outmat[`k',3*`j'] =   W[1,7*(`j'-1)+7] // items avant le premier dif
    }
else if (`j'==`difitems1') {
    mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+4] // items du le premier dif
    mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+7] // items du le premier dif
    mat outmat[`k',3*`j'] =   W[1,7*(`j'-1)+10] // items du le premier dif    }
  }
else {
    mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+6] // items avant le premier dif
    mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+8] // items avant le premier dif
    mat outmat[`k',3*`j'] =   W[1,7*(`j'-1)+10] // items avant le premier dif
  }
}
  mat outmat[`k',3*`nbitems'+1] = W[1,7*(`difitems1'-1)+2] // coef de dif
  mat outmat[`k',3*`nbitems'+2] = W[1,7*(`difitems1'-1)+5] // coef de dif
  mat outmat[`k',3*`nbitems'+3] = W[1,7*(`difitems1'-1)+8] // coef de dif
  mat outmat[`k',3*`nbitems'+4] = W[1,7*`nbitems'+4] // beta
  mat outmat[`k',3*`nbitems'+5] = W[2,7*`nbitems'+4] // se beta
  mat outmat[`k',3*`nbitems'+6] = `difitems1' // numéro item de dif
  restore
}
}
putexcel set "`path_res'/out/8`scen'_`Nn'.xls", sheet("outmat") replace
putexcel A1=matrix(outmat), colnames
}
}



*************************************************** Scenarios with DIF on 2 items

* Load pcm.ado
adopath+"/home/corentin/Documents/These/Recherche/Simulations/Modules/"

************************************************** Scenario 9: J = 4 items / M = 2 modalities / DIF size 0.3 x2
  local N = "50"
  foreach Nnn in `N' {
  local Nn =  `Nnn'
  local path_data = "/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N`Nn'"
  local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N`Nn'"
  local scenarios = "A B C D E F G"
  foreach scen in `scenarios' {
  clear
  import delim "`path_data'/scenario_9`scen'_`Nn'.csv", encoding(ISO-8859-2)  case(preserve) clear
  rename TT tt

  * Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif
  local nbitems = 4
  local nbdif = 2
  local taillemat = `nbitems'+`nbdif'+4
  mat outmat = J(1000,`taillemat',.)
  mat colnames outmat = "item1" "item2" "item3" "item4" "dif1" "dif2" "beta" "se_beta" "dif_item_1" "dif_item_2"
  di "Scenario 9`scen' / N=`Nnn'"
  forvalues k=1/1000 {
    if (mod(`k',100)==0) {
      di "`k'/1000"
    }
    preserve
    qui keep if replication==`k'
    local difitems1=dif1
    local difitems2=dif2
    if (`difitems1'<`difitems2') {
      local difitemsmin `difitems1'
      local difitemsmax `difitems2'
    }
    else {
      local difitemsmin `difitems2'
      local difitemsmax `difitems1'
    }
    local mod "gsem "
    forvalues i=1/`nbitems' {
      if (`i'==`difitemsmin' | `i'==`difitemsmax') {
        local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)"
      }
      else {
        local mod = "`mod'"+"(1.item`i'<-THETA@1)"
      }
    }
    local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent"
    qui `mod'
    mat V=r(table)
    mat W=V[1..2,1...]
    forvalues j=1/`nbitems' {
      if (`j'<`difitemsmin') {
        mat outmat[`k',`j'] = W[1,3*`j'] // items avant le premier dif
      }
      else if (`j'<`difitemsmax') {
        mat outmat[`k',`j'] = W[1,1+3*`j'] // items après le premier dif
      }
      else {
        mat outmat[`k',`j'] = W[1,2+3*`j'] // items après le deuxieme dif
      }
    }
    mat outmat[`k',`nbitems'+1] = W[1,3*`difitemsmin'-1] // coef de dif
    mat outmat[`k',`nbitems'+2] = W[1,3*`difitemsmax'] // coef de dif
    mat outmat[`k',`nbitems'+3] = W[1,3*`nbitems'+3] // beta
    mat outmat[`k',`nbitems'+4] = W[2,3*`nbitems'+3] // se beta
    mat outmat[`k',`nbitems'+5] = `difitemsmin' // numéro item de dif
    mat outmat[`k',`nbitems'+6] = `difitemsmax' // numéro item de dif
    restore
  }
  putexcel set "`path_res'/out/9`scen'_`Nn'.xls", sheet("outmat") replace
  putexcel A1=matrix(outmat), colnames
}
}



************************************************** Scenario 10: J = 4 items / M = 4 modalities / DIF size 0.3x2
local N = "50"
foreach Nnn in `N' {
local Nn =  `Nnn'
local path_data = "/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N`Nn'"
local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N`Nn'"
local scenarios = "A B C D E F G"
foreach scen in `scenarios' {
clear
import delim "`path_data'/scenario_10`scen'_`Nn'.csv", encoding(ISO-8859-2)  case(preserve) clear
rename TT tt

* Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif
local nbitems = 4
local nbdif = 2
local taillemat = 3*`nbitems'+`nbdif'+6+2
mat outmat = J(1000,`taillemat',.)
mat colnames outmat = "item1_1" "item1_2" "item1_3" "item2_1" "item2_2" "item2_3" "item3_1" "item3_2" "item3_3" "item4_1" "item4_2" "item4_3" "dif1_1" "dif1_2" "dif1_3" "dif2_1" "dif2_2" "dif2_3" "beta" "se_beta" "dif_item_1" "dif_item_2"
di "Scenario 10`scen' / N=`Nnn'"
forvalues k=1/1000 {
  if (mod(`k',100)==0) {
    di "`k'/1000"
  }
  preserve
  qui keep if replication==`k'


* MERGE des modalités si non représentées
    local com_z = 0
    qui gen comz = 0
    forvalues j = 1 / `nbitems' {
    local recoda_`j' = 0
    qui tab item`j' if tt == 0, matrow(rect1_g0_`j') matcell(nbrt1_g0_`j')
    local maxm`j'_t1_g0 = rect1_g0_`j'[r(r),1]
    local minm`j'_t1_g0 = rect1_g0_`j'[1,1]

    qui tab item`j' if tt == 1, matrow(rect1_g1_`j') matcell(nbrt1_g1_`j')
    local minm`j'_t1_g1 = rect1_g1_`j'[1,1]
    local maxm`j'_t1_g1 = rect1_g1_`j'[r(r),1]

    local minm_`j' = min(`minm`j'_t1_g0',`minm`j'_t1_g1')
    local maxm_`j' = max(`maxm`j'_t1_g0',`maxm`j'_t1_g1')
    local nbm_`j' =  `=`maxm_`j''-`minm_`j'''

    if `minm_`j'' != 0 & `com_z' == 0 {
      local com_z = 1
    }

    qui count if item`j' == 3 & tt == 0
    local mod3plac = r(N)
    qui count if item`j' == 3 & tt == 1
    local mod3tt = r(N)
    local nb_rn3 = min(`mod3plac',`mod3tt')
    if `nb_rn3'==0 {
      qui replace comz = 1
    }

    forvalues m = 0/`=`nbm_`j''-1' {
      qui count if item`j' == `m' & tt == 0
      local nb_rn1_g0 = r(N)
      qui count if item`j' == `m' & tt == 1
      local nb_rn1_g1 = r(N)
      local nb_rn = min(`nb_rn1_g0',`nb_rn1_g1')
      if `nb_rn' == 0 {
        qui replace comz = 1
        local recoda_`j' = 1
        if  `m' == 0 | `m' < `minm`j'_t1_g0' | `m' < `minm`j'_t1_g1' {
          local stop = 1
          forvalues kk = 1/`=`nbm_`j''-`m'' {
            qui count if item`j' == `=`m' + `kk'' & tt == 0
            local v`kk'1_0 = r(N)
            qui count if item`j' == `=`m' + `kk'' & tt == 1
            local v`kk'1_1 = r(N)
            if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0 {
              qui replace item`j'= `=`m'+`kk'' if item`j'==`m'
              local zzz=`j'+`nbitems'
              *qui replace item`zzz'=`=`m'+`kk'' if item``=`j'+`nbitems'''==`m'
              *di  "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged"
              local stop = 0
            }
          }
        }
        else if `m' == `=`nbm_`j''-1' | `m' >= `maxm`j'_t1_g1' {
          local stop = 1
          forvalues kk = 1/`=`m'' {
            qui count if item`j' == `=`m' - `kk'' & tt == 0
            local v`kk'1_0 = r(N)
            qui count if item`j' == `=`m' - `kk'' & tt == 1
            local v`kk'1_1 = r(N)
            if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0 {
              qui replace item`j'= `=`m' - `kk'' if item`j'==`m'
              local zzz=`j'+`nbitems'
              *qui replace item`zzz'= `=`m' - `kk'' if item`zzz'==`m'
              *di  "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged"
              local stop = 0
            }
          }
        }
        else {
          if runiform()>0.5{
            local stop = 1
            forvalues kk = 1/`m' {
              qui count if item`j' == `=`m' - `kk'' & tt == 0
              local v`kk'1_0 = r(N)
              qui count if item`j' == `=`m' - `kk'' & tt == 1
              local v`kk'1_1 = r(N)
              if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0 {
                qui replace item`j'= `=`m'-`kk'' if item`j'==`m'
                local zzz=`j'+`nbitems'
                *qui replace item`zzz'=`=`m'-`kk'' if item``=`j'+`nbitems'''==`m'
                *di  "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged"
                local stop = 0
              }
            }
          }
          else {
            local stop = 1
            forvalues kk = 1/`=`nbm_`j''-`m'' {
              qui count if item`j' == `=`m' + `kk'' & tt == 0
              local v`kk'1_0 = r(N)
              qui count if item`j' == `=`m' + `kk'' & tt == 1
              local v`kk'1_1 = r(N)
              if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0{
                qui replace item`j'=`=`m' + `kk'' if item`j'==`m'
                local zzz=`j'+`nbitems'
                *qui replace item`zzz'=`=`m' + `kk'' if item``=`j'+`nbitems'''==`m'
                *di  "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged"
                local stop = 0
              }
              else {
                if `stop' != 0 {
                  qui replace item`j'= `nbm_`j'' if item`j'==`m'
                  local zzz=`j'+`nbitems'
                  *qui replace item`zzz'= `nbm_`j'' if item``=`j'+`nbitems'''==`m'
                  *di  "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged"
                  local stop = 0
                }
              }
            }
          }
        }
      }
    }
    qui levelsof item`j'
    local val = r(levels)
    local checker: word 1 of `val'
    local checker2: word 2 of `val'
    local checker3: word 3 of `val'
    if (`checker'!=0) {
      qui recode item`j' (`checker'=0) (`checker2'=1) (`checker3'=2)
    }
    else if (`checker2'!=1) {
      qui recode item`j' (`checker2'=1) (`checker3'=2)
    }
    else if (`checker3'!=2) {
      qui recode item`j' (`checker3'=2)
    }
  }

qui valuesof comz
local val = r(values)
local checker: word 1 of `val'

* replications avec 3 mod
if  (`checker' == 1)  {
  local difitems1=dif1
  local difitems2=dif2
  local difcheck = 0
  local difcheck2 = 0
forvalues i=1/`nbitems' {
  qui sum item`i'
  local checker2 = r(max)

  if (`i'==`difitems1') {
    if (`checker2'==3) {
    local difcheck = 1
    local constrnt = "constraint 1 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
    local constrnt3 = "constraint 3 3*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([3.item`i']_cons-([3.item`i']_cons+[3.item`i'] tt))"
  }
  else {
    local constrnt = "constraint 1 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
  }
  }
  if (`i'==`difitems2') {
    if (`checker2'==3) {
    local difcheck2=1
    local constrnt2 = "constraint 2 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
    local constrnt4 = "constraint 4 3*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([3.item`i']_cons-([3.item`i']_cons+[3.item`i'] tt))"
  }
  else {
    local constrnt2 = "constraint 2 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
  }
  }
}
local mod "gsem "
forvalues i=1/`nbitems' {
  qui sum item`i'
  local checker2 = r(max)
  if (`i'==`difitems1'| `i'==`difitems2') {
    if (`checker2'==3) {
      local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)(3.item`i'<-THETA@3 tt)"
  }
    else {
      local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)"
    }
  }
  else {
    if (`checker2'==3) {
      local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)(3.item`i'<-THETA@3)"
  }
  else {
    local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)"
  }
}
}
if (`difcheck'==1) {
  if (`difcheck2'==1) {
    local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 3 4)"
  }
  else {
    local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 3)"
  }
}
else {
  if (`difcheck2'==1) {
    local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 4)"
  }
  else {
    local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2)"
  }
}
qui `constrnt'
qui `constrnt2'
if (`difcheck'==1) {
  qui `constrnt3'
}
if (`difcheck2'==1) {
  qui `constrnt4'
}
qui `mod'
mat V=r(table)
mat W=V[1..2,1...]
forvalues j=1/`nbitems' {

    mat outmat[`k',3*`j'-2] = W[1,colnumb(W,"1.item`j':_cons")] // items avant le premier dif
    mat outmat[`k',3*`j'-1] = W[1,colnumb(W,"2.item`j':_cons")] // items avant le premier dif
    mat outmat[`k',3*`j'] =   W[1,colnumb(W,"3.item`j':_cons")] // items avant le premier dif
}
  mat outmat[`k',3*`nbitems'+1] = W[1,colnumb(W,"1.item`difitems1':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+2] = W[1,colnumb(W,"2.item`difitems1':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+3] = W[1,colnumb(W,"3.item`difitems1':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+4] = W[1,colnumb(W,"1.item`difitems2':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+5] = W[1,colnumb(W,"2.item`difitems2':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+6] = W[1,colnumb(W,"3.item`difitems2':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+7] = W[1,colnumb(W,"THETA:tt")] // beta
  mat outmat[`k',3*`nbitems'+8] = W[2,colnumb(W,"THETA:tt")] // se beta
  mat outmat[`k',3*`nbitems'+9] = `difitems1' // numéro item de dif
  mat outmat[`k',3*`nbitems'+10] = `difitems2' // numéro item de dif
  restore
}

* replications sans problèmes
else {
  local difitems1=dif1
  local difitems2=dif2
forvalues i=1/`nbitems' {
  if (`i'==`difitems1') {
    local constrnt = "constraint 1 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
    local constrnt2 = "constraint 2 3*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([3.item`i']_cons-([3.item`i']_cons+[3.item`i'] tt))"
  }
  if (`i'==`difitems2') {
    local constrnt3 = "constraint 3 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
    local constrnt4 = "constraint 4 3*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([3.item`i']_cons-([3.item`i']_cons+[3.item`i'] tt))"
  }
}
local mod "gsem "
forvalues i=1/`nbitems' {
  if (`i'==`difitems1' | `i'==`difitems2') {
    local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)(3.item`i'<-THETA@3 tt)"
  }
  else {
    local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)(3.item`i'<-THETA@3)"
  }
}
local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 3 4)"
qui `constrnt'
qui `constrnt2'
qui `constrnt3'
qui `constrnt4'
qui `mod'
mat V=r(table)
mat W=V[1..2,1...]
forvalues j=1/`nbitems' {
      mat outmat[`k',3*`j'-2] = W[1,colnumb(W,"1.item`j':_cons")] // items avant le premier dif
      mat outmat[`k',3*`j'-1] = W[1,colnumb(W,"2.item`j':_cons")] // items avant le premier dif
      mat outmat[`k',3*`j'] =   W[1,colnumb(W,"3.item`j':_cons")] // items avant le premier dif
  }
  mat outmat[`k',3*`nbitems'+1] = W[1,colnumb(W,"1.item`difitems1':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+2] = W[1,colnumb(W,"2.item`difitems1':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+3] = W[1,colnumb(W,"3.item`difitems1':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+4] = W[1,colnumb(W,"1.item`difitems2':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+5] = W[1,colnumb(W,"2.item`difitems2':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+6] = W[1,colnumb(W,"3.item`difitems2':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+7] = W[1,colnumb(W,"THETA:tt")] // beta
  mat outmat[`k',3*`nbitems'+8] = W[2,colnumb(W,"THETA:tt")] // se beta
  mat outmat[`k',3*`nbitems'+9] = `difitems1' // numéro item de dif
  mat outmat[`k',3*`nbitems'+10] = `difitems2' // numéro item de dif
  restore
}
}
putexcel set "`path_res'/out/10`scen'_`Nn'.xls", sheet("outmat") replace
putexcel A1=matrix(outmat), colnames
}
}


[

************************************************** Scenario 11: J = 4 items / M = 2 modalities / DIF size 0.5 x2
  local N = "50"
  foreach Nnn in `N' {
  local Nn =  `Nnn'
  local path_data = "/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N`Nn'"
  local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N`Nn'"
  local scenarios = "A B C D E F G"
  foreach scen in `scenarios' {
  clear
  import delim "`path_data'/scenario_11`scen'_`Nn'.csv", encoding(ISO-8859-2)  case(preserve) clear
  rename TT tt

  * Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif
  local nbitems = 4
  local nbdif = 2
  local taillemat = `nbitems'+`nbdif'+4
  mat outmat = J(1000,`taillemat',.)
  mat colnames outmat = "item1" "item2" "item3" "item4" "dif1" "dif2" "beta" "se_beta" "dif_item_1" "dif_item_2"
  di "Scenario 11`scen' / N=`Nnn'"
  forvalues k=1/1000 {
    if (mod(`k',100)==0) {
      di "`k'/1000"
    }
    preserve
    qui keep if replication==`k'
    local difitems1=dif1
    local difitems2=dif2
    if (`difitems1'<`difitems2') {
      local difitemsmin `difitems1'
      local difitemsmax `difitems2'
    }
    else {
      local difitemsmin `difitems2'
      local difitemsmax `difitems1'
    }
    local mod "gsem "
    forvalues i=1/`nbitems' {
      if (`i'==`difitemsmin' | `i'==`difitemsmax') {
        local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)"
      }
      else {
        local mod = "`mod'"+"(1.item`i'<-THETA@1)"
      }
    }
    local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent"
    qui `mod'
    mat V=r(table)
    mat W=V[1..2,1...]
    forvalues j=1/`nbitems' {
      if (`j'<`difitemsmin') {
        mat outmat[`k',`j'] = W[1,3*`j'] // items avant le premier dif
      }
      else if (`j'<`difitemsmax') {
        mat outmat[`k',`j'] = W[1,1+3*`j'] // items après le premier dif
      }
      else {
        mat outmat[`k',`j'] = W[1,2+3*`j'] // items après le deuxieme dif
      }
    }
    mat outmat[`k',`nbitems'+1] = W[1,3*`difitemsmin'-1] // coef de dif
    mat outmat[`k',`nbitems'+2] = W[1,3*`difitemsmax'] // coef de dif
    mat outmat[`k',`nbitems'+3] = W[1,3*`nbitems'+3] // beta
    mat outmat[`k',`nbitems'+4] = W[2,3*`nbitems'+3] // se beta
    mat outmat[`k',`nbitems'+5] = `difitemsmin' // numéro item de dif
    mat outmat[`k',`nbitems'+6] = `difitemsmax' // numéro item de dif
    restore
  }
  putexcel set "`path_res'/out/11`scen'_`Nn'.xls", sheet("outmat") replace
  putexcel A1=matrix(outmat), colnames
}
}



************************************************** Scenario 12: J = 4 items / M = 4 modalities / DIF size 0.5 x2
local N = "50"
foreach Nnn in `N' {
local Nn =  `Nnn'
local path_data = "/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N`Nn'"
local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N`Nn'"
local scenarios = "A B C D E F G"
foreach scen in `scenarios' {
clear
import delim "`path_data'/scenario_12`scen'_`Nn'.csv", encoding(ISO-8859-2)  case(preserve) clear
rename TT tt

* Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif
local nbitems = 4
local nbdif = 2
local taillemat = 3*`nbitems'+`nbdif'+6+2
mat outmat = J(1000,`taillemat',.)
mat colnames outmat = "item1_1" "item1_2" "item1_3" "item2_1" "item2_2" "item2_3" "item3_1" "item3_2" "item3_3" "item4_1" "item4_2" "item4_3" "dif1_1" "dif1_2" "dif1_3" "dif2_1" "dif2_2" "dif2_3" "beta" "se_beta" "dif_item_1" "dif_item_2"
di "Scenario 12`scen' / N=`Nnn'"
forvalues k=1/1000 {
  if (mod(`k',100)==0) {
    di "`k'/1000"
  }
  preserve
  qui keep if replication==`k'


* MERGE des modalités si non représentées
    local com_z = 0
    qui gen comz = 0
    forvalues j = 1 / `nbitems' {
    local recoda_`j' = 0
    qui tab item`j' if tt == 0, matrow(rect1_g0_`j') matcell(nbrt1_g0_`j')
    local maxm`j'_t1_g0 = rect1_g0_`j'[r(r),1]
    local minm`j'_t1_g0 = rect1_g0_`j'[1,1]

    qui tab item`j' if tt == 1, matrow(rect1_g1_`j') matcell(nbrt1_g1_`j')
    local minm`j'_t1_g1 = rect1_g1_`j'[1,1]
    local maxm`j'_t1_g1 = rect1_g1_`j'[r(r),1]

    local minm_`j' = min(`minm`j'_t1_g0',`minm`j'_t1_g1')
    local maxm_`j' = max(`maxm`j'_t1_g0',`maxm`j'_t1_g1')
    local nbm_`j' =  `=`maxm_`j''-`minm_`j'''

    if `minm_`j'' != 0 & `com_z' == 0 {
      local com_z = 1
    }

    qui count if item`j' == 3 & tt == 0
    local mod3plac = r(N)
    qui count if item`j' == 3 & tt == 1
    local mod3tt = r(N)
    local nb_rn3 = min(`mod3plac',`mod3tt')
    if `nb_rn3'==0 {
      qui replace comz = 1
    }

    forvalues m = 0/`=`nbm_`j''-1' {
      qui count if item`j' == `m' & tt == 0
      local nb_rn1_g0 = r(N)
      qui count if item`j' == `m' & tt == 1
      local nb_rn1_g1 = r(N)
      local nb_rn = min(`nb_rn1_g0',`nb_rn1_g1')
      if `nb_rn' == 0 {
        qui replace comz = 1
        local recoda_`j' = 1
        if  `m' == 0 | `m' < `minm`j'_t1_g0' | `m' < `minm`j'_t1_g1' {
          local stop = 1
          forvalues kk = 1/`=`nbm_`j''-`m'' {
            qui count if item`j' == `=`m' + `kk'' & tt == 0
            local v`kk'1_0 = r(N)
            qui count if item`j' == `=`m' + `kk'' & tt == 1
            local v`kk'1_1 = r(N)
            if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0 {
              qui replace item`j'= `=`m'+`kk'' if item`j'==`m'
              local zzz=`j'+`nbitems'
              *qui replace item`zzz'=`=`m'+`kk'' if item``=`j'+`nbitems'''==`m'
              *di  "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged"
              local stop = 0
            }
          }
        }
        else if `m' == `=`nbm_`j''-1' | `m' >= `maxm`j'_t1_g1' {
          local stop = 1
          forvalues kk = 1/`=`m'' {
            qui count if item`j' == `=`m' - `kk'' & tt == 0
            local v`kk'1_0 = r(N)
            qui count if item`j' == `=`m' - `kk'' & tt == 1
            local v`kk'1_1 = r(N)
            if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0 {
              qui replace item`j'= `=`m' - `kk'' if item`j'==`m'
              local zzz=`j'+`nbitems'
              *qui replace item`zzz'= `=`m' - `kk'' if item`zzz'==`m'
              *di  "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged"
              local stop = 0
            }
          }
        }
        else {
          if runiform()>0.5{
            local stop = 1
            forvalues kk = 1/`m' {
              qui count if item`j' == `=`m' - `kk'' & tt == 0
              local v`kk'1_0 = r(N)
              qui count if item`j' == `=`m' - `kk'' & tt == 1
              local v`kk'1_1 = r(N)
              if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0 {
                qui replace item`j'= `=`m'-`kk'' if item`j'==`m'
                local zzz=`j'+`nbitems'
                *qui replace item`zzz'=`=`m'-`kk'' if item``=`j'+`nbitems'''==`m'
                *di  "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged"
                local stop = 0
              }
            }
          }
          else {
            local stop = 1
            forvalues kk = 1/`=`nbm_`j''-`m'' {
              qui count if item`j' == `=`m' + `kk'' & tt == 0
              local v`kk'1_0 = r(N)
              qui count if item`j' == `=`m' + `kk'' & tt == 1
              local v`kk'1_1 = r(N)
              if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0{
                qui replace item`j'=`=`m' + `kk'' if item`j'==`m'
                local zzz=`j'+`nbitems'
                *qui replace item`zzz'=`=`m' + `kk'' if item``=`j'+`nbitems'''==`m'
                *di  "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged"
                local stop = 0
              }
              else {
                if `stop' != 0 {
                  qui replace item`j'= `nbm_`j'' if item`j'==`m'
                  local zzz=`j'+`nbitems'
                  *qui replace item`zzz'= `nbm_`j'' if item``=`j'+`nbitems'''==`m'
                  *di  "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged"
                  local stop = 0
                }
              }
            }
          }
        }
      }
    }
    qui levelsof item`j'
    local val = r(levels)
    local checker: word 1 of `val'
    local checker2: word 2 of `val'
    local checker3: word 3 of `val'
    local nummoda=r(r)
    if (`nummoda'==2) {
      qui recode item`j' (`checker'=0) (`checker2'=1)
    }
    if (`nummoda'==3) {
      if (`checker'!=0) {
        qui recode item`j' (`checker'=0) (`checker2'=1) (`checker3'=2)
      }
      else if (`checker2'!=1) {
        qui recode item`j' (`checker2'=1) (`checker3'=2)
      }
      else if (`checker3'!=2) {
        qui recode item`j' (`checker3'=2)
      }
    }

  }

qui valuesof comz
local val = r(values)
local checker: word 1 of `val'

* replications avec 3 mod
if  (`checker' == 1)  {
  local difitems1=dif1
  local difitems2=dif2
  local difcheck = 0
  local difcheck2 = 0
forvalues i=1/`nbitems' {
  qui sum item`i'
  local checker2 = r(max)

  if (`i'==`difitems1') {
    if (`checker2'==3) {
    local difcheck = 1
    local constrnt = "constraint 1 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
    local constrnt3 = "constraint 3 3*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([3.item`i']_cons-([3.item`i']_cons+[3.item`i'] tt))"
  }
  else if (`checker2'==2) {
    local constrnt = "constraint 1 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
  }
  else if (`checker2'==1) {
    local difcheck = 2
  }
  }
  if (`i'==`difitems2') {
    if (`checker2'==3) {
    local difcheck2=1
    local constrnt2 = "constraint 2 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
    local constrnt4 = "constraint 4 3*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([3.item`i']_cons-([3.item`i']_cons+[3.item`i'] tt))"
  }
  else if (`checker2'==2) {
    local constrnt2 = "constraint 2 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
  }
  else if (`checker2'==1) {
    local difcheck2 = 2
  }
  }
}
local mod "gsem "
forvalues i=1/`nbitems' {
  qui sum item`i'
  local checker2 = r(max)
  if (`i'==`difitems1'| `i'==`difitems2') {
    if (`checker2'==3) {
      local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)(3.item`i'<-THETA@3 tt)"
  }
    else if (`checker2'==2) {
      local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)"
    }
    else {
      local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)"
    }
  }
  else {
    if (`checker2'==3) {
      local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)(3.item`i'<-THETA@3)"
  }
  else if (`checker2'==2) {
    local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)"
  }
  else {
    local mod = "`mod'"+"(1.item`i'<-THETA@1)"
  }
}
}
if (`difcheck'==1) {
  if (`difcheck2'==1) {
    local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 3 4)"
  }
  else if (`difcheck2'==0) {
    local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 3)"
  }
  else if (`difcheck2'==2) {
    local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2)"
  }
}
else if (`difcheck'==0) {
  if (`difcheck2'==1) {
    local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 4)"
  }
  else if (`difcheck2'==0) {
    local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2)"
  }
  else if (`difcheck2'==2) {
    local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1)"
  }
}
else if (`difcheck'==2) {
  if (`difcheck2'==1) {
    local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(2 4)"
  }
  else if (`difcheck2'==0) {
    local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(2)"
  }
  else if (`difcheck2'==2) {
    local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent"
  }
}

if (`difcheck'!=2) {
qui `constrnt'
}
if (`difcheck2'!=2) {
qui `constrnt2'
}
if (`difcheck'==1) {
  qui `constrnt3'
}
if (`difcheck2'==1) {
  qui `constrnt4'
}
qui `mod'
mat V=r(table)
mat W=V[1..2,1...]
forvalues j=1/`nbitems' {

    mat outmat[`k',3*`j'-2] = W[1,colnumb(W,"1.item`j':_cons")] // items avant le premier dif
    mat outmat[`k',3*`j'-1] = W[1,colnumb(W,"2.item`j':_cons")] // items avant le premier dif
    mat outmat[`k',3*`j'] =   W[1,colnumb(W,"3.item`j':_cons")] // items avant le premier dif
}
  mat outmat[`k',3*`nbitems'+1] = W[1,colnumb(W,"1.item`difitems1':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+2] = W[1,colnumb(W,"2.item`difitems1':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+3] = W[1,colnumb(W,"3.item`difitems1':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+4] = W[1,colnumb(W,"1.item`difitems2':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+5] = W[1,colnumb(W,"2.item`difitems2':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+6] = W[1,colnumb(W,"3.item`difitems2':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+7] = W[1,colnumb(W,"THETA:tt")] // beta
  mat outmat[`k',3*`nbitems'+8] = W[2,colnumb(W,"THETA:tt")] // se beta
  mat outmat[`k',3*`nbitems'+9] = `difitems1' // numéro item de dif
  mat outmat[`k',3*`nbitems'+10] = `difitems2' // numéro item de dif
  restore
}

* replications sans problèmes
else {
  local difitems1=dif1
  local difitems2=dif2
forvalues i=1/`nbitems' {
  if (`i'==`difitems1') {
    local constrnt = "constraint 1 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
    local constrnt2 = "constraint 2 3*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([3.item`i']_cons-([3.item`i']_cons+[3.item`i'] tt))"
  }
  if (`i'==`difitems2') {
    local constrnt3 = "constraint 3 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
    local constrnt4 = "constraint 4 3*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([3.item`i']_cons-([3.item`i']_cons+[3.item`i'] tt))"
  }
}
local mod "gsem "
forvalues i=1/`nbitems' {
  if (`i'==`difitems1' | `i'==`difitems2') {
    local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)(3.item`i'<-THETA@3 tt)"
  }
  else {
    local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)(3.item`i'<-THETA@3)"
  }
}
local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 3 4)"
qui `constrnt'
qui `constrnt2'
qui `constrnt3'
qui `constrnt4'
qui `mod'
mat V=r(table)
mat W=V[1..2,1...]
forvalues j=1/`nbitems' {
      mat outmat[`k',3*`j'-2] = W[1,colnumb(W,"1.item`j':_cons")] // items avant le premier dif
      mat outmat[`k',3*`j'-1] = W[1,colnumb(W,"2.item`j':_cons")] // items avant le premier dif
      mat outmat[`k',3*`j'] =   W[1,colnumb(W,"3.item`j':_cons")] // items avant le premier dif
  }
  mat outmat[`k',3*`nbitems'+1] = W[1,colnumb(W,"1.item`difitems1':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+2] = W[1,colnumb(W,"2.item`difitems1':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+3] = W[1,colnumb(W,"3.item`difitems1':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+4] = W[1,colnumb(W,"1.item`difitems2':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+5] = W[1,colnumb(W,"2.item`difitems2':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+6] = W[1,colnumb(W,"3.item`difitems2':tt")] // coef de dif
  mat outmat[`k',3*`nbitems'+7] = W[1,colnumb(W,"THETA:tt")] // beta
  mat outmat[`k',3*`nbitems'+8] = W[2,colnumb(W,"THETA:tt")] // se beta
  mat outmat[`k',3*`nbitems'+9] = `difitems1' // numéro item de dif
  mat outmat[`k',3*`nbitems'+10] = `difitems2' // numéro item de dif
  restore
}
}
putexcel set "`path_res'/out/12`scen'_`Nn'.xls", sheet("outmat") replace
putexcel A1=matrix(outmat), colnames
}
}
