*================================================================================================================================= * 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) * * outputs : for N=100 * * *================================================================================================================================================ * 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 } }