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*=================================================================================================================================================
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* Date : 2024-01-23
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* Stata version : Stata 18 SE
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*
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* This program analyses simulated data accounting for DIF through a partial credit model
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*
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* ado-files needed : - pcm (version 5.5 October 25, 2023, available on gitea)
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*
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*
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*================================================================================================================================================
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* Load pcm.ado
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adopath+"/home/corentin/Documents/These/Recherche/Simulations/Modules/"
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*==========================
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* Scenarios with : J=4
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*==========================
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****** Scenarios with DIF on 1 item
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** Scenario 5: J = 4 items / M = 2 modalities / DIF size 0.3
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local N = "100 200 300"
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foreach Nnn in `N' {
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local Nn = `Nnn'
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local path_data = "/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N`Nn'"
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local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N`Nn'"
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local scenarios = "A B C D E F G"
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foreach scen in `scenarios' {
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clear
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import delim "`path_data'/scenario_5`scen'_`Nn'.csv", encoding(ISO-8859-2) case(preserve) clear
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rename TT tt
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* Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif
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local nbitems = 4
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local nbdif = 1
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local taillemat = `nbitems'+`nbdif'+3
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mat outmat = J(1000,`taillemat',.)
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mat colnames outmat = "item1" "item2" "item3" "item4" "dif1" "beta" "se_beta" "dif_item_1"
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di "Scenario 5`scen' / N=`Nnn'"
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forvalues k=1/1000 {
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if (mod(`k',100)==0) {
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di "`k'/1000"
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}
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preserve
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qui keep if replication==`k'
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local difitems1=dif1
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local mod "gsem "
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forvalues i=1/`nbitems' {
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if (`i'==`difitems1') {
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local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)"
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}
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else {
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local mod = "`mod'"+"(1.item`i'<-THETA@1)"
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}
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}
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local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent"
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qui `mod'
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mat V=r(table)
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mat W=V[1..2,1...]
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forvalues j=1/`nbitems' {
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if (`j'<`difitems1') {
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mat outmat[`k',`j'] = W[1,3*`j'] // items avant le premier dif
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}
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else {
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mat outmat[`k',`j'] = W[1,1+3*`j'] // items après le premier dif
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}
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}
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mat outmat[`k',`nbitems'+1] = W[1,3*`difitems1'-1] // coef de dif
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mat outmat[`k',`nbitems'+2] = W[1,3*`nbitems'+2] // beta
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mat outmat[`k',`nbitems'+3] = W[2,3*`nbitems'+2] // se beta
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mat outmat[`k',`nbitems'+4] = `difitems1' // numéro item de dif
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restore
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}
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putexcel set "`path_res'/out/5`scen'_`Nn'.xls", sheet("outmat") replace
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putexcel A1=matrix(outmat), colnames
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}
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}
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** Scenario 6: J = 4 items / M = 4 modalities / DIF size 0.3
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local N = "100 200 300"
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foreach Nnn in `N' {
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local Nn = `Nnn'
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local path_data = "/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N`Nn'"
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local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N`Nn'"
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local scenarios = "A B C D E F G"
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foreach scen in `scenarios' {
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clear
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import delim "`path_data'/scenario_6`scen'_`Nn'.csv", encoding(ISO-8859-2) case(preserve) clear
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rename TT tt
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* Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif
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local nbitems = 4
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local nbdif = 1
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local taillemat = 3*`nbitems'+`nbdif'+3+2
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mat outmat = J(1000,`taillemat',.)
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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"
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di "Scenario 6`scen' / N=`Nnn'"
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forvalues k=1/1000 {
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if (mod(`k',100)==0) {
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di "`k'/1000"
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}
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preserve
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qui keep if replication==`k'
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local difitems1=dif1
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forvalues i=1/`nbitems' {
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if (`i'==`difitems1') {
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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))"
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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))"
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}
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}
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local mod "gsem "
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forvalues i=1/`nbitems' {
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if (`i'==`difitems1') {
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local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)(3.item`i'<-THETA@3 tt)"
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}
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else {
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local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)(3.item`i'<-THETA@3)"
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}
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}
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local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2)"
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qui `constrnt'
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qui `constrnt2'
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qui `mod'
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mat V=r(table)
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mat W=V[1..2,1...]
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forvalues j=1/`nbitems' {
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if (`j'<`difitems1') {
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mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+3] // items avant le premier dif
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mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+5] // items avant le premier dif
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mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+7] // items avant le premier dif
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}
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else if (`j'==`difitems1') {
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mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+4] // items du le premier dif
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mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+7] // items du le premier dif
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mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+10] // items du le premier dif }
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}
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else {
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mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+6] // items avant le premier dif
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mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+8] // items avant le premier dif
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mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+10] // items avant le premier dif
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}
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}
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mat outmat[`k',3*`nbitems'+1] = W[1,7*(`difitems1'-1)+2] // coef de dif
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mat outmat[`k',3*`nbitems'+2] = W[1,7*(`difitems1'-1)+5] // coef de dif
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mat outmat[`k',3*`nbitems'+3] = W[1,7*(`difitems1'-1)+8] // coef de dif
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mat outmat[`k',3*`nbitems'+4] = W[1,7*`nbitems'+4] // beta
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mat outmat[`k',3*`nbitems'+5] = W[2,7*`nbitems'+4] // se beta
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mat outmat[`k',3*`nbitems'+6] = `difitems1' // numéro item de dif
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restore
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}
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putexcel set "`path_res'/out/6`scen'_`Nn'.xls", sheet("outmat") replace
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putexcel A1=matrix(outmat), colnames
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}
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}
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** Scenario 7: J = 4 items / M = 2 modalities / DIF size 0.5
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local N = "100 200 300"
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foreach Nnn in `N' {
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local Nn = `Nnn'
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local path_data = "/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N`Nn'"
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local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N`Nn'"
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local scenarios = "A B C D E F G"
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foreach scen in `scenarios' {
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clear
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import delim "`path_data'/scenario_7`scen'_`Nn'.csv", encoding(ISO-8859-2) case(preserve) clear
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rename TT tt
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* Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif
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local nbitems = 4
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local nbdif = 1
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local taillemat = `nbitems'+`nbdif'+3
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mat outmat = J(1000,`taillemat',.)
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mat colnames outmat = "item1" "item2" "item3" "item4" "dif1" "beta" "se_beta" "dif_item_1"
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di "Scenario 7`scen' / N=`Nnn'"
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forvalues k=1/1000 {
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if (mod(`k',100)==0) {
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di "`k'/1000"
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}
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preserve
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qui keep if replication==`k'
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local difitems1=dif1
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local mod "gsem "
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forvalues i=1/`nbitems' {
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if (`i'==`difitems1') {
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local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)"
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}
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else {
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local mod = "`mod'"+"(1.item`i'<-THETA@1)"
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}
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}
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local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent"
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qui `mod'
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mat V=r(table)
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mat W=V[1..2,1...]
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forvalues j=1/`nbitems' {
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if (`j'<`difitems1') {
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mat outmat[`k',`j'] = W[1,3*`j'] // items avant le premier dif
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}
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else {
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mat outmat[`k',`j'] = W[1,1+3*`j'] // items après le premier dif
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}
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}
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mat outmat[`k',`nbitems'+1] = W[1,3*`difitems1'-1] // coef de dif
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mat outmat[`k',`nbitems'+2] = W[1,3*`nbitems'+2] // beta
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mat outmat[`k',`nbitems'+3] = W[2,3*`nbitems'+2] // se beta
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mat outmat[`k',`nbitems'+4] = `difitems1' // numéro item de dif
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restore
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}
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putexcel set "`path_res'/out/7`scen'_`Nn'.xls", sheet("outmat") replace
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putexcel A1=matrix(outmat), colnames
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}
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}
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** Scenario 8: J = 4 items / M = 4 modalities / DIF size 0.5
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local N = "100 200 300"
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foreach Nnn in `N' {
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local Nn = `Nnn'
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local path_data = "/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N`Nn'"
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local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N`Nn'"
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local scenarios = "A B C D E F G"
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foreach scen in `scenarios' {
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clear
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import delim "`path_data'/scenario_8`scen'_`Nn'.csv", encoding(ISO-8859-2) case(preserve) clear
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rename TT tt
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* Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif
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local nbitems = 4
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local nbdif = 1
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local taillemat = 3*`nbitems'+`nbdif'+3+2
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mat outmat = J(1000,`taillemat',.)
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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"
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di "Scenario 8`scen' / N=`Nnn'"
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forvalues k=1/1000 {
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if (mod(`k',100)==0) {
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di "`k'/1000"
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}
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preserve
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qui keep if replication==`k'
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local difitems1=dif1
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forvalues i=1/`nbitems' {
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if (`i'==`difitems1') {
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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))"
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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))"
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}
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}
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local mod "gsem "
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forvalues i=1/`nbitems' {
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if (`i'==`difitems1') {
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local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)(3.item`i'<-THETA@3 tt)"
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}
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else {
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local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)(3.item`i'<-THETA@3)"
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}
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}
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local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2)"
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qui `constrnt'
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qui `constrnt2'
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qui `mod'
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mat V=r(table)
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mat W=V[1..2,1...]
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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
|
|
|
|
|
}
|
|
|
|
|
}
|
|
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|
|
****** Scenarios with DIF on 2 items
|
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|
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|
|
* Load pcm.ado
|
|
|
|
|
adopath+"/home/corentin/Documents/These/Recherche/Simulations/Modules/"
|
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|
|
|
|
|
|
|
|
** Scenario 9: J = 4 items / M = 2 modalities / DIF size 0.3 x2
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|
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|
|
local N = "100 200 300"
|
|
|
|
|
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 0.3 x2
|
|
|
|
|
local N = "100 200 300"
|
|
|
|
|
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'+6+2+`nbdif'
|
|
|
|
|
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'
|
|
|
|
|
local difitems1=dif1
|
|
|
|
|
local difitems2=dif2
|
|
|
|
|
if (`difitems1'<`difitems2') {
|
|
|
|
|
local difitemsmin `difitems1'
|
|
|
|
|
local difitemsmax `difitems2'
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
local difitemsmin `difitems2'
|
|
|
|
|
local difitemsmax `difitems1'
|
|
|
|
|
}
|
|
|
|
|
forvalues i=1/`nbitems' {
|
|
|
|
|
if (`i'==`difitemsmin') {
|
|
|
|
|
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))"
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
forvalues i=1/`nbitems' {
|
|
|
|
|
if (`i'==`difitemsmax') {
|
|
|
|
|
local constrn3 = "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'==`difitemsmin' | `i'==`difitemsmax') {
|
|
|
|
|
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' {
|
|
|
|
|
if (`j'<`difitemsmin') {
|
|
|
|
|
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'==`difitemsmin') {
|
|
|
|
|
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 if (`j'<`difitemsmax') {
|
|
|
|
|
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
|
|
|
|
|
}
|
|
|
|
|
else if (`j'==`difitemsmax') {
|
|
|
|
|
mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+7] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+10] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+13] // items avant le premier dif
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+9] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+11] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+13] // items avant le premier dif
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
mat outmat[`k',3*`nbitems'+1] = W[1,7*(`difitemsmin'-1)+2] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+2] = W[1,7*(`difitemsmin'-1)+5] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+3] = W[1,7*(`difitemsmin'-1)+8] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+4] = W[1,7*(`difitemsmax'-1)+5] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+5] = W[1,7*(`difitemsmax'-1)+8] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+6] = W[1,7*(`difitemsmax'-1)+11] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+7] = W[1,7*`nbitems'+7] // beta
|
|
|
|
|
mat outmat[`k',3*`nbitems'+8] = W[2,7*`nbitems'+7] // se beta
|
|
|
|
|
mat outmat[`k',3*`nbitems'+9] = `difitemsmin' // numéro item de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+10] = `difitemsmax' // 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 = "100 200 300"
|
|
|
|
|
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 = "100 200 300"
|
|
|
|
|
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'+6+2+`nbdif'
|
|
|
|
|
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'
|
|
|
|
|
local difitems1=dif1
|
|
|
|
|
local difitems2=dif2
|
|
|
|
|
if (`difitems1'<`difitems2') {
|
|
|
|
|
local difitemsmin `difitems1'
|
|
|
|
|
local difitemsmax `difitems2'
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
local difitemsmin `difitems2'
|
|
|
|
|
local difitemsmax `difitems1'
|
|
|
|
|
}
|
|
|
|
|
forvalues i=1/`nbitems' {
|
|
|
|
|
if (`i'==`difitemsmin') {
|
|
|
|
|
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))"
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
forvalues i=1/`nbitems' {
|
|
|
|
|
if (`i'==`difitemsmax') {
|
|
|
|
|
local constrn3 = "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'==`difitemsmin' | `i'==`difitemsmax') {
|
|
|
|
|
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' {
|
|
|
|
|
if (`j'<`difitemsmin') {
|
|
|
|
|
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'==`difitemsmin') {
|
|
|
|
|
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 if (`j'<`difitemsmax') {
|
|
|
|
|
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
|
|
|
|
|
}
|
|
|
|
|
else if (`j'==`difitemsmax') {
|
|
|
|
|
mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+7] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+10] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+13] // items avant le premier dif
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+9] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+11] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+13] // items avant le premier dif
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
mat outmat[`k',3*`nbitems'+1] = W[1,7*(`difitemsmin'-1)+2] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+2] = W[1,7*(`difitemsmin'-1)+5] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+3] = W[1,7*(`difitemsmin'-1)+8] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+4] = W[1,7*(`difitemsmax'-1)+5] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+5] = W[1,7*(`difitemsmax'-1)+8] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+6] = W[1,7*(`difitemsmax'-1)+11] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+7] = W[1,7*`nbitems'+7] // beta
|
|
|
|
|
mat outmat[`k',3*`nbitems'+8] = W[2,7*`nbitems'+7] // se beta
|
|
|
|
|
mat outmat[`k',3*`nbitems'+9] = `difitemsmin' // numéro item de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+10] = `difitemsmax' // numéro item de dif
|
|
|
|
|
restore
|
|
|
|
|
}
|
|
|
|
|
putexcel set "`path_res'/out/12`scen'_`Nn'.xls", sheet("outmat") replace
|
|
|
|
|
putexcel A1=matrix(outmat), colnames
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
*==========================
|
|
|
|
|
* Scenarios with : J=7
|
|
|
|
|
*==========================
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
****** Scenarios with DIF on 2 items
|
|
|
|
|
|
|
|
|
|
* Load pcm.ado
|
|
|
|
|
adopath+"/home/corentin/Documents/These/Recherche/Simulations/Modules/"
|
|
|
|
|
|
|
|
|
|
** Scenario 13: J = 7 items / M = 2 modalities / DIF size 0.3 x2
|
|
|
|
|
local N = "100 200 300"
|
|
|
|
|
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_13`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 = 7
|
|
|
|
|
local nbdif = 2
|
|
|
|
|
local taillemat = `nbitems'+`nbdif'+4
|
|
|
|
|
mat outmat = J(1000,`taillemat',.)
|
|
|
|
|
mat colnames outmat = "item1" "item2" "item3" "item4" "item5" "item6" "item7" "dif1" "dif2" "beta" "se_beta" "dif_item_1" "dif_item_2"
|
|
|
|
|
di "Scenario 13`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/13`scen'_`Nn'.xls", sheet("outmat") replace
|
|
|
|
|
putexcel A1=matrix(outmat), colnames
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
** Scenario 14: J = 7 items / M = 4 modalities / DIF size 0.3 x2
|
|
|
|
|
local N = "100 200 300"
|
|
|
|
|
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_14`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 = 7
|
|
|
|
|
local nbdif = 2
|
|
|
|
|
local taillemat = 3*`nbitems'+6+2+`nbdif'
|
|
|
|
|
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" "item5_1" "item5_2" "item5_3" "item6_1" "item6_2" "item6_3" "item7_1" "item7_2" "item7_3" "dif1_1" "dif1_2" "dif1_3" "dif2_1" "dif2_2" "dif2_3" "beta" "se_beta" "dif_item_1" "dif_item_2"
|
|
|
|
|
di "Scenario 14`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'
|
|
|
|
|
}
|
|
|
|
|
forvalues i=1/`nbitems' {
|
|
|
|
|
if (`i'==`difitemsmin') {
|
|
|
|
|
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))"
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
forvalues i=1/`nbitems' {
|
|
|
|
|
if (`i'==`difitemsmax') {
|
|
|
|
|
local constrn3 = "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'==`difitemsmin' | `i'==`difitemsmax') {
|
|
|
|
|
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' {
|
|
|
|
|
if (`j'<`difitemsmin') {
|
|
|
|
|
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'==`difitemsmin') {
|
|
|
|
|
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 if (`j'<`difitemsmax') {
|
|
|
|
|
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
|
|
|
|
|
}
|
|
|
|
|
else if (`j'==`difitemsmax') {
|
|
|
|
|
mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+7] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+10] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+13] // items avant le premier dif
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+9] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+11] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+13] // items avant le premier dif
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
mat outmat[`k',3*`nbitems'+1] = W[1,7*(`difitemsmin'-1)+2] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+2] = W[1,7*(`difitemsmin'-1)+5] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+3] = W[1,7*(`difitemsmin'-1)+8] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+4] = W[1,7*(`difitemsmax'-1)+5] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+5] = W[1,7*(`difitemsmax'-1)+8] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+6] = W[1,7*(`difitemsmax'-1)+11] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+7] = W[1,7*`nbitems'+7] // beta
|
|
|
|
|
mat outmat[`k',3*`nbitems'+8] = W[2,7*`nbitems'+7] // se beta
|
|
|
|
|
mat outmat[`k',3*`nbitems'+9] = `difitemsmin' // numéro item de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+10] = `difitemsmax' // numéro item de dif
|
|
|
|
|
restore
|
|
|
|
|
}
|
|
|
|
|
putexcel set "`path_res'/out/14`scen'_`Nn'.xls", sheet("outmat") replace
|
|
|
|
|
putexcel A1=matrix(outmat), colnames
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
** Scenario 15: J = 7 items / M = 2 modalities / DIF size 0.5 x2
|
|
|
|
|
local N = "100 200 300"
|
|
|
|
|
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_15`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 = 7
|
|
|
|
|
local nbdif = 2
|
|
|
|
|
local taillemat = `nbitems'+`nbdif'+4
|
|
|
|
|
mat outmat = J(1000,`taillemat',.)
|
|
|
|
|
mat colnames outmat = "item1" "item2" "item3" "item4" "item5" "item6" "item7" "dif1" "dif2" "beta" "se_beta" "dif_item_1" "dif_item_2"
|
|
|
|
|
di "Scenario 15`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/15`scen'_`Nn'.xls", sheet("outmat") replace
|
|
|
|
|
putexcel A1=matrix(outmat), colnames
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
** Scenario 16: J = 7 items / M = 4 modalities / DIF size 0.5 x2
|
|
|
|
|
local N = "100 200 300"
|
|
|
|
|
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_16`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 = 7
|
|
|
|
|
local nbdif = 2
|
|
|
|
|
local taillemat = 3*`nbitems'+6+2+`nbdif'
|
|
|
|
|
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" "item5_1" "item5_2" "item5_3" "item6_1" "item6_2" "item6_3" "item7_1" "item7_2" "item7_3" "dif1_1" "dif1_2" "dif1_3" "dif2_1" "dif2_2" "dif2_3" "beta" "se_beta" "dif_item_1" "dif_item_2"
|
|
|
|
|
di "Scenario 16`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'
|
|
|
|
|
}
|
|
|
|
|
forvalues i=1/`nbitems' {
|
|
|
|
|
if (`i'==`difitemsmin') {
|
|
|
|
|
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))"
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
forvalues i=1/`nbitems' {
|
|
|
|
|
if (`i'==`difitemsmax') {
|
|
|
|
|
local constrn3 = "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'==`difitemsmin' | `i'==`difitemsmax') {
|
|
|
|
|
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' {
|
|
|
|
|
if (`j'<`difitemsmin') {
|
|
|
|
|
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'==`difitemsmin') {
|
|
|
|
|
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 if (`j'<`difitemsmax') {
|
|
|
|
|
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
|
|
|
|
|
}
|
|
|
|
|
else if (`j'==`difitemsmax') {
|
|
|
|
|
mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+7] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+10] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+13] // items avant le premier dif
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+9] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+11] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+13] // items avant le premier dif
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
mat outmat[`k',3*`nbitems'+1] = W[1,7*(`difitemsmin'-1)+2] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+2] = W[1,7*(`difitemsmin'-1)+5] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+3] = W[1,7*(`difitemsmin'-1)+8] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+4] = W[1,7*(`difitemsmax'-1)+5] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+5] = W[1,7*(`difitemsmax'-1)+8] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+6] = W[1,7*(`difitemsmax'-1)+11] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+7] = W[1,7*`nbitems'+7] // beta
|
|
|
|
|
mat outmat[`k',3*`nbitems'+8] = W[2,7*`nbitems'+7] // se beta
|
|
|
|
|
mat outmat[`k',3*`nbitems'+9] = `difitemsmin' // numéro item de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+10] = `difitemsmax' // numéro item de dif
|
|
|
|
|
restore
|
|
|
|
|
}
|
|
|
|
|
putexcel set "`path_res'/out/16`scen'_`Nn'.xls", sheet("outmat") replace
|
|
|
|
|
putexcel A1=matrix(outmat), colnames
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
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|
|
|
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|
|
***** Scenarios with DIF on 3 items
|
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|
|
|
|
|
|
|
|
* Load pcm.ado
|
|
|
|
|
adopath+"/home/corentin/Documents/These/Recherche/Simulations/Modules/"
|
|
|
|
|
|
|
|
|
|
** Scenario 17: J = 7 items / M = 2 modalities / DIF size 0.3 x3
|
|
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|
|
local N = "100 200 300"
|
|
|
|
|
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_17`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 = 7
|
|
|
|
|
local nbdif = 3
|
|
|
|
|
local taillemat = `nbitems'+`nbdif'+5
|
|
|
|
|
mat outmat = J(1000,`taillemat',.)
|
|
|
|
|
mat colnames outmat = "item1" "item2" "item3" "item4" "item5" "item6" "item7" "dif1" "dif2" "dif3" "beta" "se_beta" "dif_item_1" "dif_item_2" "dif_item_3"
|
|
|
|
|
di "Scenario 17`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
|
|
|
|
|
local difitems3=dif3
|
|
|
|
|
if (`difitems1' < `difitems2') {
|
|
|
|
|
local difitemsmin= `difitems1'
|
|
|
|
|
local difitemsmax= `difitems2'
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
local difitemsmin= `difitems2'
|
|
|
|
|
local difitemsmax= `difitems1'
|
|
|
|
|
}
|
|
|
|
|
if (`difitems3' < `difitemsmin') {
|
|
|
|
|
local difitemsmid = `difitemsmin'
|
|
|
|
|
local difitemsmin= `difitems3'
|
|
|
|
|
}
|
|
|
|
|
else if (`difitems3' > `difitemsmax') {
|
|
|
|
|
local difitemsmid = `difitemsmax'
|
|
|
|
|
local difitemsmax= `difitems3'
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
local difitemsmid = `difitems3'
|
|
|
|
|
}
|
|
|
|
|
local mod "gsem "
|
|
|
|
|
forvalues i=1/`nbitems' {
|
|
|
|
|
if (`i'==`difitemsmin' | `i'==`difitemsmax' | `i'==`difitemsmid') {
|
|
|
|
|
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'<`difitemsmid') {
|
|
|
|
|
mat outmat[`k',`j'] = W[1,1+3*`j'] // items après le premier dif
|
|
|
|
|
}
|
|
|
|
|
else if (`j'<`difitemsmax') {
|
|
|
|
|
mat outmat[`k',`j'] = W[1,2+3*`j'] // items après le deuxieme dif
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
mat outmat[`k',`j'] = W[1,3+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*`difitemsmid'] // coef de dif
|
|
|
|
|
mat outmat[`k',`nbitems'+3] = W[1,3*`difitemsmax'+1] // coef de dif
|
|
|
|
|
mat outmat[`k',`nbitems'+4] = W[1,3*`nbitems'+4] // beta
|
|
|
|
|
mat outmat[`k',`nbitems'+5] = W[2,3*`nbitems'+4] // se beta
|
|
|
|
|
mat outmat[`k',`nbitems'+6] = `difitemsmin' // numéro item de dif
|
|
|
|
|
mat outmat[`k',`nbitems'+7] = `difitemsmid' // numéro item de dif
|
|
|
|
|
mat outmat[`k',`nbitems'+8] = `difitemsmax' // numéro item de dif
|
|
|
|
|
restore
|
|
|
|
|
}
|
|
|
|
|
putexcel set "`path_res'/out/17`scen'_`Nn'.xls", sheet("outmat") replace
|
|
|
|
|
putexcel A1=matrix(outmat), colnames
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
** Scenario 18: J = 7 items / M = 4 modalities / DIF size 0.3 x3
|
|
|
|
|
local N = "100 200 300"
|
|
|
|
|
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_18`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 = 7
|
|
|
|
|
local nbdif = 3
|
|
|
|
|
local taillemat = 3*`nbitems'+9+2+`nbdif'
|
|
|
|
|
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" "item5_1" "item5_2" "item5_3" "item6_1" "item6_2" "item6_3" "item7_1" "item7_2" "item7_3" "dif1_1" "dif1_2" "dif1_3" "dif2_1" "dif2_2" "dif2_3" "dif3_1" "dif3_2" "dif3_3" "beta" "se_beta" "dif_item_1" "dif_item_2" "dif_item_3"
|
|
|
|
|
di "Scenario 18`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
|
|
|
|
|
local difitems3=dif3
|
|
|
|
|
if (`difitems1' < `difitems2') {
|
|
|
|
|
local difitemsmin= `difitems1'
|
|
|
|
|
local difitemsmax= `difitems2'
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
local difitemsmin= `difitems2'
|
|
|
|
|
local difitemsmax= `difitems1'
|
|
|
|
|
}
|
|
|
|
|
if (`difitems3' < `difitemsmin') {
|
|
|
|
|
local difitemsmid = `difitemsmin'
|
|
|
|
|
local difitemsmin= `difitems3'
|
|
|
|
|
}
|
|
|
|
|
else if (`difitems3' > `difitemsmax') {
|
|
|
|
|
local difitemsmid = `difitemsmax'
|
|
|
|
|
local difitemsmax= `difitems3'
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
local difitemsmid = `difitems3'
|
|
|
|
|
}
|
|
|
|
|
forvalues i=1/`nbitems' {
|
|
|
|
|
if (`i'==`difitemsmin') {
|
|
|
|
|
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))"
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
forvalues i=1/`nbitems' {
|
|
|
|
|
if (`i'==`difitemsmax') {
|
|
|
|
|
local constrn3 = "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))"
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
forvalues i=1/`nbitems' {
|
|
|
|
|
if (`i'==`difitemsmid') {
|
|
|
|
|
local constrn5 = "constraint 5 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 constrnt6 = "constraint 6 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'==`difitemsmin' | `i'==`difitemsmax' | `i'==`difitemsmid') {
|
|
|
|
|
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 5 6)"
|
|
|
|
|
qui `constrnt'
|
|
|
|
|
qui `constrnt2'
|
|
|
|
|
qui `constrnt3'
|
|
|
|
|
qui `constrnt4'
|
|
|
|
|
qui `constrnt6'
|
|
|
|
|
qui `constrnt6'
|
|
|
|
|
qui `mod'
|
|
|
|
|
mat V=r(table)
|
|
|
|
|
mat W=V[1..2,1...]
|
|
|
|
|
forvalues j=1/`nbitems' {
|
|
|
|
|
if (`j'<`difitemsmin') {
|
|
|
|
|
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'==`difitemsmin') {
|
|
|
|
|
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 if (`j'<`difitemsmid') {
|
|
|
|
|
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
|
|
|
|
|
}
|
|
|
|
|
else if (`j'==`difitemsmid') {
|
|
|
|
|
mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+7] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+10] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+13] // items avant le premier dif
|
|
|
|
|
}
|
|
|
|
|
else if (`j'<`difitemsmax') {
|
|
|
|
|
mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+9] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+11] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+13] // items avant le premier dif
|
|
|
|
|
}
|
|
|
|
|
else if (`j'==`difitemsmax') {
|
|
|
|
|
mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+10] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+13] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+16] // items avant le premier dif
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+12] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+14] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+16] // items avant le premier dif
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
mat outmat[`k',3*`nbitems'+1] = W[1,7*(`difitemsmin'-1)+2] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+2] = W[1,7*(`difitemsmin'-1)+5] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+3] = W[1,7*(`difitemsmin'-1)+8] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+4] = W[1,7*(`difitemsmid'-1)+5] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+5] = W[1,7*(`difitemsmid'-1)+8] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+6] = W[1,7*(`difitemsmid'-1)+11] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+7] = W[1,7*(`difitemsmax'-1)+8] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+8] = W[1,7*(`difitemsmax'-1)+11] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+9] = W[1,7*(`difitemsmax'-1)+14] // coef de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+10] = W[1,7*`nbitems'+10] // beta
|
|
|
|
|
mat outmat[`k',3*`nbitems'+11] = W[2,7*`nbitems'+10] // se beta
|
|
|
|
|
mat outmat[`k',3*`nbitems'+12] = `difitemsmin' // numéro item de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+13] = `difitemsmid' // numéro item de dif
|
|
|
|
|
mat outmat[`k',3*`nbitems'+14] = `difitemsmax' // numéro item de dif
|
|
|
|
|
restore
|
|
|
|
|
}
|
|
|
|
|
putexcel set "`path_res'/out/18`scen'_`Nn'.xls", sheet("outmat") replace
|
|
|
|
|
putexcel A1=matrix(outmat), colnames
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
** Scenario 19: J = 7 items / M = 2 modalities / DIF size 0.5 x3
|
|
|
|
|
local N = "100 200 300"
|
|
|
|
|
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_19`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 = 7
|
|
|
|
|
local nbdif = 3
|
|
|
|
|
local taillemat = `nbitems'+`nbdif'+5
|
|
|
|
|
mat outmat = J(1000,`taillemat',.)
|
|
|
|
|
mat colnames outmat = "item1" "item2" "item3" "item4" "item5" "item6" "item7" "dif1" "dif2" "dif3" "beta" "se_beta" "dif_item_1" "dif_item_2" "dif_item_3"
|
|
|
|
|
di "Scenario 19`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
|
|
|
|
|
local difitems3=dif3
|
|
|
|
|
if (`difitems1' < `difitems2') {
|
|
|
|
|
local difitemsmin= `difitems1'
|
|
|
|
|
local difitemsmax= `difitems2'
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
local difitemsmin= `difitems2'
|
|
|
|
|
local difitemsmax= `difitems1'
|
|
|
|
|
}
|
|
|
|
|
if (`difitems3' < `difitemsmin') {
|
|
|
|
|
local difitemsmid = `difitemsmin'
|
|
|
|
|
local difitemsmin= `difitems3'
|
|
|
|
|
}
|
|
|
|
|
else if (`difitems3' > `difitemsmax') {
|
|
|
|
|
local difitemsmid = `difitemsmax'
|
|
|
|
|
local difitemsmax= `difitems3'
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
local difitemsmid = `difitems3'
|
|
|
|
|
}
|
|
|
|
|
local mod "gsem "
|
|
|
|
|
forvalues i=1/`nbitems' {
|
|
|
|
|
if (`i'==`difitemsmin' | `i'==`difitemsmax' | `i'==`difitemsmid') {
|
|
|
|
|
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'<`difitemsmid') {
|
|
|
|
|
mat outmat[`k',`j'] = W[1,1+3*`j'] // items après le premier dif
|
|
|
|
|
}
|
|
|
|
|
else if (`j'<`difitemsmax') {
|
|
|
|
|
mat outmat[`k',`j'] = W[1,2+3*`j'] // items après le deuxieme dif
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
mat outmat[`k',`j'] = W[1,3+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*`difitemsmid'] // coef de dif
|
|
|
|
|
mat outmat[`k',`nbitems'+3] = W[1,3*`difitemsmax'+1] // coef de dif
|
|
|
|
|
mat outmat[`k',`nbitems'+4] = W[1,3*`nbitems'+4] // beta
|
|
|
|
|
mat outmat[`k',`nbitems'+5] = W[2,3*`nbitems'+4] // se beta
|
|
|
|
|
mat outmat[`k',`nbitems'+6] = `difitemsmin' // numéro item de dif
|
|
|
|
|
mat outmat[`k',`nbitems'+7] = `difitemsmid' // numéro item de dif
|
|
|
|
|
mat outmat[`k',`nbitems'+8] = `difitemsmax' // numéro item de dif
|
|
|
|
|
restore
|
|
|
|
|
}
|
|
|
|
|
putexcel set "`path_res'/out/19`scen'_`Nn'.xls", sheet("outmat") replace
|
|
|
|
|
putexcel A1=matrix(outmat), colnames
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
** Scenario 20: J = 7 items / M = 4 modalities / DIF size 0.5 x3
|
|
|
|
|
local N = "100 200 300"
|
|
|
|
|
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_20`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 = 7
|
|
|
|
|
local nbdif = 3
|
|
|
|
|
local taillemat = 3*`nbitems'+9+2+`nbdif'
|
|
|
|
|
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" "item5_1" "item5_2" "item5_3" "item6_1" "item6_2" "item6_3" "item7_1" "item7_2" "item7_3" "dif1_1" "dif1_2" "dif1_3" "dif2_1" "dif2_2" "dif2_3" "dif3_1" "dif3_2" "dif3_3" "beta" "se_beta" "dif_item_1" "dif_item_2" "dif_item_3"
|
|
|
|
|
di "Scenario 20`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
|
|
|
|
|
local difitems3=dif3
|
|
|
|
|
if (`difitems1' < `difitems2') {
|
|
|
|
|
local difitemsmin= `difitems1'
|
|
|
|
|
local difitemsmax= `difitems2'
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
local difitemsmin= `difitems2'
|
|
|
|
|
local difitemsmax= `difitems1'
|
|
|
|
|
}
|
|
|
|
|
if (`difitems3' < `difitemsmin') {
|
|
|
|
|
local difitemsmid = `difitemsmin'
|
|
|
|
|
local difitemsmin= `difitems3'
|
|
|
|
|
}
|
|
|
|
|
else if (`difitems3' > `difitemsmax') {
|
|
|
|
|
local difitemsmid = `difitemsmax'
|
|
|
|
|
local difitemsmax= `difitems3'
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
local difitemsmid = `difitems3'
|
|
|
|
|
}
|
|
|
|
|
forvalues i=1/`nbitems' {
|
|
|
|
|
if (`i'==`difitemsmin') {
|
|
|
|
|
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))"
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
forvalues i=1/`nbitems' {
|
|
|
|
|
if (`i'==`difitemsmax') {
|
|
|
|
|
local constrn3 = "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))"
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
forvalues i=1/`nbitems' {
|
|
|
|
|
if (`i'==`difitemsmid') {
|
|
|
|
|
local constrn5 = "constraint 5 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 constrnt6 = "constraint 6 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'==`difitemsmin' | `i'==`difitemsmax' | `i'==`difitemsmid') {
|
|
|
|
|
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 5 6)"
|
|
|
|
|
qui `constrnt'
|
|
|
|
|
qui `constrnt2'
|
|
|
|
|
qui `constrnt3'
|
|
|
|
|
qui `constrnt4'
|
|
|
|
|
qui `constrnt6'
|
|
|
|
|
qui `constrnt6'
|
|
|
|
|
qui `mod'
|
|
|
|
|
mat V=r(table)
|
|
|
|
|
mat W=V[1..2,1...]
|
|
|
|
|
forvalues j=1/`nbitems' {
|
|
|
|
|
if (`j'<`difitemsmin') {
|
|
|
|
|
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'==`difitemsmin') {
|
|
|
|
|
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 if (`j'<`difitemsmid') {
|
|
|
|
|
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
|
|
|
|
|
}
|
|
|
|
|
else if (`j'==`difitemsmid') {
|
|
|
|
|
mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+7] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+10] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+13] // items avant le premier dif
|
|
|
|
|
}
|
|
|
|
|
else if (`j'<`difitemsmax') {
|
|
|
|
|
mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+9] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+11] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+13] // items avant le premier dif
|
|
|
|
|
}
|
|
|
|
|
else if (`j'==`difitemsmax') {
|
|
|
|
|
mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+10] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+13] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+16] // items avant le premier dif
|
|
|
|
|
}
|
|
|
|
|
else {
|
|
|
|
|
mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+12] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+14] // items avant le premier dif
|
|
|
|
|
mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+16] // items avant le premier dif
|
|
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}
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}
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mat outmat[`k',3*`nbitems'+1] = W[1,7*(`difitemsmin'-1)+2] // coef de dif
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mat outmat[`k',3*`nbitems'+2] = W[1,7*(`difitemsmin'-1)+5] // coef de dif
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mat outmat[`k',3*`nbitems'+3] = W[1,7*(`difitemsmin'-1)+8] // coef de dif
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mat outmat[`k',3*`nbitems'+4] = W[1,7*(`difitemsmid'-1)+5] // coef de dif
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mat outmat[`k',3*`nbitems'+5] = W[1,7*(`difitemsmid'-1)+8] // coef de dif
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mat outmat[`k',3*`nbitems'+6] = W[1,7*(`difitemsmid'-1)+11] // coef de dif
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mat outmat[`k',3*`nbitems'+7] = W[1,7*(`difitemsmax'-1)+8] // coef de dif
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mat outmat[`k',3*`nbitems'+8] = W[1,7*(`difitemsmax'-1)+11] // coef de dif
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mat outmat[`k',3*`nbitems'+9] = W[1,7*(`difitemsmax'-1)+14] // coef de dif
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mat outmat[`k',3*`nbitems'+10] = W[1,7*`nbitems'+10] // beta
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mat outmat[`k',3*`nbitems'+11] = W[2,7*`nbitems'+10] // se beta
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mat outmat[`k',3*`nbitems'+12] = `difitemsmin' // numéro item de dif
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mat outmat[`k',3*`nbitems'+13] = `difitemsmid' // numéro item de dif
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mat outmat[`k',3*`nbitems'+14] = `difitemsmax' // numéro item de dif
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restore
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}
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putexcel set "`path_res'/out/20`scen'_`Nn'.xls", sheet("outmat") replace
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putexcel A1=matrix(outmat), colnames
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}
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}
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