*! version 1.1 3June2013 *! Jean-Benoit Hardouin ************************************************************************************************************ * rsoort: Response Shift detection with the Oort procedure * * Historic: * Version 1 (2013-02-25): Jean-Benoit Hardouin * Version 1.1 (2013-06-03): Jean-Benoit Hardouin /*some improvements*/ * Version 1.2 (2013-06-03): Jean-Benoit Hardouin /*model1 model2 model3 and covariances options*/ * * * Jean-benoit Hardouin - Department of Biomathematics and Biostatistics - University of Nantes - France * EA 4275-SPHERE "bioStatistics, Pharmacoepidemiology and Human sciEnces Research tEam" * jean-benoit.hardouin@univ-nantes.fr * * Copyright 2013 Jean-Benoit Hardouin * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 2 of the License, or * (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA ************************************************************************************************************/ /*********************************************************************************************************** INTRODUCTION ***********************************************************************************************************/ program define rsoort,eclass syntax varlist(min=2 numeric) [if] [in] [,METHod(string) UNIFormrecalibration(varlist) NONUNIFormrecalibration(varlist) REPrioritization(varlist) noSearch html(string) model1 model2 model4 COVariances(string)] tempfile saversoort qui save `saversoort',replace if "`html'" != "" { di "" } if "`if'"!=""|"`in'"!="" { qui keep `if' `in' } tokenize `varlist' local nbitems:word count `varlist' local mod=mod(`nbitems',2) if `mod'!=0 { di in red "You must enter an even number of items : the first half of the items represents the items in time 1 and the second half the items in time 2" error } if "`method'"=="" { local method "ml" } local nbitems=`nbitems'/2 if "`html'"== "" { di _col(20) "{hline 30}" di _col(20) in gr "Time 1" _col(40) "Time 2" di _col(20) "{hline 30}" forvalues i=1/`nbitems' { di in ye _col(20) "``i''" _col(40) "``=`i'+`nbitems'''" } di _col(20) "{hline 30}" } else { di "" di "" di "" di "" forvalues i=1/`nbitems' { di "" } di "
Time 1Time2
``i''``=`i'+`nbitems'''
" } /************************************************************************************************************** Model 1 ***************************************************************************************************************/ if "`model1'"=="" { local qui qui } else { local qui } `qui' sem (T1->`1'-``nbitems'')(T2->``=`nbitems'+1''-``=`nbitems'*2''),var(T1@1) var(T2@1) means(T1@0) means(T2@0) method(`method') cov(`covariances') qui estat gof, stat(all) local tli1=r(tli) local cfi1=r(cfi) local srmr1=r(srmr) local rmsea1=r(rmsea) local ubrmsea1=r(ub90_rmsea) local lbrmsea1=r(lb90_rmsea) local chi21=r(chi2_ms) local df1=r(df_ms) local dfc1=6*`nbitems'+1 local p1=r(p_ms) local bic1=r(bic) *di *di in green " ***********************************Model 1********************************************" *di in gr _col(14) "chi2" _col(22) "df" _col(35) "p" _col(41) "rmsea" _col(51) "IC90%(RMSEA)" _col(72) "SRMR" _col(83) "CFI" _col(93) "TLI" *di in ye _col(10) %8.2f `chi21' _col(20) %4.0f `dfc1' _col(30) %6.4f `p1' _col(40) %6.4f `rmsea1' _col(50) %6.4f `lbrmsea1' "-" %6.4f `ubrmsea1' _col(70) %6.4f `srmr1' _col(80) %6.2f `cfi1' _col(90) %6.2f `tli1' /************************************************************************************************************** Model 2 ***************************************************************************************************************/ local sem local var forvalues i=1/`nbitems' { local sem`i' "(T1@load`i' _cons@int`i'->``i'') (T2@load`i' _cons@int`i'->``=`i'+`nbitems''')" local var`i' "var(e.``i''@var`i') var(e.``=`i'+`nbitems'''@var`i')" local sem `sem' `sem`i'' local var `var' `var`i'' } if "`model2'"=="" { local qui qui } else { local qui } `qui' sem `sem',var(T1@1) var(T2) means(T1@0) means(T2) `var' iterate(100) method(`method') `covariances' tempname b V matrix `b'=e(b) matrix `V'=e(V) local truechange2=`b'[1,`=`nbitems'*4+1'] local Vtruechange2=`V'[`=`nbitems'*4+1',`=`nbitems'*4+1'] qui estat gof, stat(all) local tli2=r(tli) local cfi2=r(cfi) local srmr2=r(srmr) local rmsea2=r(rmsea) local ubrmsea2=r(ub90_rmsea) local lbrmsea2=r(lb90_rmsea) local chi22=r(chi2_ms) local df2=r(df_ms) local dfc2=3*`nbitems'+3 local p2=r(p_ms) local bic2=r(bic) local chi221=abs(`chi21'-`chi22') local df21=`df2'-`df1' local p21=1-chi2(`df21',`chi221') if "`html'" != "" { di "" di "" *di "" di "" di "" di "" di "" di "
Test of global Response-ShiftComparison with model 1
ModelsChi-squaredfp-valueBIC
Model 1" %8.2f `chi21' "" %4.0f `df1' "" %6.4f `p1' "" %7.2f `bic1' "
Model 2" %8.2f `chi22' "" %4.0f `df2' "" %6.4f `p2' "" %7.2f `bic2' "
" } else { di "{hline 51}" di in gr /*_col(39) "Test of global Response-Shift " _col(79) "Comparison with model 1"*/ di in gr "Models" _col(18) "Chi-square" _col(32) "df" _col(36) "p-value" _col(48) "BIC" /*_col(39) "Chi-square" _col(54) "df" _col(59) "p-value" *_col(79) "Chi-square" _col(94) "df" _col(99) "p-value"*/ di "{hline 51}" di in gr "Model 1" _col(20) %8.2f in ye `chi21' _col(30) %4.0f `df1' _col(37) %6.4f `p1' _col(45) %7.2f `bic1' di in gr "Model 2" _col(20) %8.2f in ye `chi22' _col(30) %4.0f `df2' _col(37) %6.4f `p2' _col(45) %7.2f `bic2' /*_col(40) %8.2f `=abs(`chi22'-`chi21')' _col(50) %6.0f `df21' %6.4f _col(60) `=1-chi2(`df21',abs(`chi22'-`chi21'))' *_col(82) %8.2f `=`=abs(`chi22'-`chi21')'' _col(90) %6.0f `df21' _col(100) %6.4f `=1-chi2(`df21',abs(`chi22'-`chi21'))'*/ di "{hline 51}" } /************************************************************************************************************** Model 3 ***************************************************************************************************************/ /************************************************************************************************************** Model 3 / Non uniform recalibration ***************************************************************************************************************/ tempname RS RSprec qui matrix `RS'=J(`nbitems',3,0) qui matrix `RSprec'=J(`nbitems',3,0) local df3=`dfc2' *set trace on forvalues i=1/`nbitems' { local nbUR:word count `uniformrecalibration' forvalues j=1/`nbUR' { local itemj: word `j' of `uniformrecalibration' if "``i''"=="`itemj'" { matrix `RS'[`i',2]=1 } } local nbNUR:word count `nonuniformrecalibration' forvalues j=1/`nbNUR' { local itemj: word `j' of `nonuniformrecalibration' if "``i''"=="`itemj'" { matrix `RS'[`i',1]=1 } } local nbR:word count `reprioritization' forvalues j=1/`nbR' { local itemj: word `j' of `reprioritization' if "``i''"=="`itemj'" { matrix `RS'[`i',3]=1 } } } *matrix list `RS' if "`search'"=="" { if "`html'"=="" { di di "{hline 88}" di in green _col(40) "Model 3" di "{hline 88}" di di in white _col(10) "Non uniform Recalibration" } else { di "


Model 3

" di "" di "" } local continue=1 forvalues i=1/`nbitems' { local sem`i' "(T1@load`i' _cons@int`i'->``i'') (T2@load`i' _cons@int`i'->``=`i'+`nbitems''')" local var`i' "var(e.``i''@var`i') var(e.``=`i'+`nbitems'''@var`i')" local semrecU`i' "(T1@load`i' _cons->``i'') (T2@load`i' _cons->``=`i'+`nbitems''')" local semrep`i' "(T1 _cons@int`i'->``i'') (T2 _cons@int`i'->``=`i'+`nbitems''')" local varrecNU`i' "var(e.``i'') var(e.``=`i'+`nbitems''')" } local prec_chi2=`chi22' local testNU_varchi2=0 local testNU_p=1 if "`html'"=="" { di "{hline 88}" di in gr _col(59) "Comparison with previous model"/* _col(79) "Comparison with model 1"*/ di in gr "Items" _col(18) "Chi-square" _col(32) "df" _col(36) "p-value" _col(48) "BIC" _col(59) "Chi-square" _col(73) "df" _col(82) "p-value" /*_col(79) "Chi-square" _col(94) "df" _col(99) "p-value"*/ di "{hline 88}" } else { di "" di "" di "" } while (`continue') { local cpt=0 local testNU_varchi2_temp=0 local testNU_p_temp=0 local testNU_item_temp=0 local chi2encours_temp=-1 local continue=0 local sem local var forvalues j=1/`nbitems' { local sem local var local already=0 forvalues i=1/`nbitems' { if `RS'[`i',1]==0&`i'!=`j' { local sem `sem' `sem`i'' local var `var' `var`i'' } if `RS'[`i',1]==1&`i'!=`j' { local sem `sem' `sem`i'' local var `var' `varrecNU`i'' } else if `i'==`j'&`RS'[`j',1]==0 { local sem `sem' `sem`i'' local var `var' `varrecNU`i'' } else if `i'==`j'&`RS'[`j',1]==1 { local sem `sem' `sem`i'' local var `var' `varrecNU`i'' local already=1 } } if (`already'!=1) { qui sem `sem',var(T1@1) var(T2) means(T1@0) means(T2) `var' iterate(100) method(`method') `covariances' qui estat gof local chi2encours=r(chi2_ms) local dfencours=r(df_ms) local pencours=r(p_ms) local bicencours=r(bic) if (abs(`chi2encours'-`prec_chi2')>invchi2(1,0.95)&abs(`chi2encours'-`prec_chi2')>`testNU_varchi2_temp') { local continue=1 local testNU_varchi2_temp =abs(`chi2encours'-`prec_chi2' ) local testNU_p_temp =1-chi2(1,`testNU_varchi2_temp') local testNU_item_temp=`j' local chi2encours_tmp=`chi2encours' local tmp=`chi2encours' } if "`html'" != "" { di "" } else { di in gr "``j''" _col(20) %8.2f in ye `chi2encours' _col(30) %4.0f `dfencours' _col(37) %6.4f `pencours' _col(45) %7.2f `bicencours' _col(61) %8.2f `=abs(`chi2encours'-`prec_chi2' )' _col(74) "1" %6.4f _col(83) `=1-chi2(1,abs(`chi2encours'-`prec_chi2' ))' /*_col(82) %8.2f `=abs(`chi2encours'-`chi21')' _col(90) %6.0f `=abs(`df3'+1-`dfc1')' _col(100) %6.4f `=1-chi2(abs(`df3'+1-`dfc1'),abs(`chi2encours'-`chi21'))'*/ } local ++cpt } } if (`testNU_item_temp'!=0) { matrix `RS'[`testNU_item_temp',1]=1 local ++df3 local testNU_varchi2=`testNU_varchi2_temp' local testNU_p=`testNU_p_temp' local testNU_item_temp=0 local prec_chi2=`tmp' } if (`cpt'!=0) { if "`html'" != "" { di "" } else { di "{hline 88}" } } } if "`html'" != "" { di "
Non uniform Recalibration
Comparison with previous model
ItemsChi-squaredfp-valueBICChi-squaredfp-value
``j''" %8.2f `chi2encours' "" %4.0f `dfencours' "" %6.4f `pencours' "" %7.2f `bicencours' "" %8.2f `=abs(`chi2encours'-`prec_chi2' )' "1" %6.4f `=1-chi2(1,abs(`chi2encours'-`prec_chi2' ))' "

" } /************************************************************************************************************** Model 3 / Uniform recalibration ***************************************************************************************************************/ if "`html'"=="" { di di in white _col(10) "Uniform Recalibration" } else { di "" di "" } local continue=1 local var forvalues i=1/`nbitems' { local sem`i' "(T1@load`i' _cons@int`i'->``i'') (T2@load`i' _cons@int`i'->``=`i'+`nbitems''')" local semrecU`i' "(T1@load`i' _cons->``i'') (T2@load`i' _cons->``=`i'+`nbitems''')" local semrep`i' "(T1 _cons@int`i'->``i'') (T2 _cons@int`i'->``=`i'+`nbitems''')" local var`i' "var(e.``i''@var`i') var(e.``=`i'+`nbitems'''@var`i')" local varrecNU`i' "var(e.``i'') var(e.``=`i'+`nbitems''')" if `RS'[`i',1]==1 { local var "`var' `varrecNU`i''" } if `RS'[`i',1]==0 { local var "`var' `var`i''" } } local testU_varchi2=0 local testU_p=1 if "`html'"=="" { di "{hline 88}" di in gr _col(59) "Comparison with previous model"/* _col(79) "Comparison with model 1"*/ di in gr "Items" _col(18) "Chi-square" _col(32) "df" _col(36) "p-value" _col(48) "BIC" _col(59) "Chi-square" _col(73) "df" _col(82) "p-value" /*_col(79) "Chi-square" _col(94) "df" _col(99) "p-value"*/ di "{hline 88}" } else { di "" di "" di "" } while (`continue') { local cpt=0 local testU_varchi2_temp=0 local testU_p_temp=0 local testU_item_temp=0 local chi2encours_temp=-1 local continue=0 local sem forvalues j=1/`nbitems' { local sem local already=0 forvalues i=1/`nbitems' { if `RS'[`i',2]==0&`i'!=`j' { local sem `sem' `sem`i'' } if `RS'[`i',2]==1&`i'!=`j' { local sem `sem' `semrecU`i'' } else if `i'==`j'&`RS'[`j',2]==0 { local sem `sem' `semrecU`i'' } else if `i'==`j'&`RS'[`j',2]==1 { local sem `sem' `semrecU`i'' local already=1 } } if (`already'!=1) { qui sem `sem',var(T1@1) var(T2) means(T1@0) means(T2) `var' iterate(100) method(`method') `covariances' qui estat gof local chi2encours=r(chi2_ms) local dfencours=r(df_ms) local pencours=r(p_ms) local bicencours=r(bic) if (abs(`chi2encours'-`prec_chi2')>invchi2(1,0.95)&abs(`chi2encours'-`prec_chi2')>`testU_varchi2_temp') { local continue=1 local testU_varchi2_temp =abs(`chi2encours'-`prec_chi2' ) local testU_p_temp =1-chi2(1,`testU_varchi2_temp') local testU_item_temp=`j' local chi2encours_tmp=`chi2encours' local tmp=`chi2encours' } if "`html'" != "" { di "" } else { di in gr "``j''" _col(20) %8.2f in ye `chi2encours' _col(30) %4.0f `dfencours' _col(37) %6.4f `pencours' _col(45) %7.2f `bicencours' _col(61) %8.2f `=abs(`chi2encours'-`prec_chi2' )' _col(74) "1" %6.4f _col(83) `=1-chi2(1,abs(`chi2encours'-`prec_chi2' ))' /*_col(82) %8.2f `=abs(`chi2encours'-`chi21')' _col(90) %6.0f `=abs(`df3'+1-`dfc1')' _col(100) %6.4f `=1-chi2(abs(`df3'+1-`dfc1'),abs(`chi2encours'-`chi21'))'*/ } local ++cpt } } if (`testU_item_temp'!=0) { matrix `RS'[`testU_item_temp',2]=1 local ++df3 local testU_varchi2=`testU_varchi2_temp' local testU_p=`testU_p_temp' local testU_item_temp=0 local prec_chi2=`tmp' } if (`cpt'!=0) { if "`html'" != "" { di "" } else { di "{hline 88}" } } } if "`html'" != "" { di "
Uniform Recalibration
Comparison with previous model
ItemsChi-squaredfp-valueBICChi-squaredfp-value
``j''" %8.2f `chi2encours' "" %4.0f `dfencours' "" %6.4f `pencours' "" %7.2f `bicencours' "" %8.2f `=abs(`chi2encours'-`prec_chi2' )' "1" %6.4f `=1-chi2(1,abs(`chi2encours'-`prec_chi2' ))' "

" } /************************************************************************************************************** Model 3 / Reprioritization ***************************************************************************************************************/ if "`html'"=="" { di di in white _col(10) "Reprioritization" } else { di "" di "" } local continue=1 local var local sem forvalues i=1/`nbitems' { local sem`i' "(T1@load`i' _cons@int`i'->``i'') (T2@load`i' _cons@int`i'->``=`i'+`nbitems''')" local semrecU`i' "(T1@load`i' _cons->``i'') (T2@load`i' _cons->``=`i'+`nbitems''')" local semrecUrep`i' "(T1 _cons->``i'') (T2 _cons->``=`i'+`nbitems''')" local semrep`i' "(T1 _cons@int`i'->``i'') (T2 _cons@int`i'->``=`i'+`nbitems''')" local var`i' "var(e.``i''@var`i') var(e.``=`i'+`nbitems'''@var`i')" local varrecNU`i' "var(e.``i'') var(e.``=`i'+`nbitems''')" if `RS'[`i',1]==1 { local var "`var' `varrecNU`i''" } if `RS'[`i',1]==0 { local var "`var' `var`i''" } } local testU_varchi2=0 local testU_p=1 if "`html'"=="" { di "{hline 88}" di in gr _col(59) "Comparison with previous model"/* _col(79) "Comparison with model 1"*/ di in gr "Items" _col(18) "Chi-square" _col(32) "df" _col(36) "p-value" _col(48) "BIC" _col(59) "Chi-square" _col(73) "df" _col(82) "p-value" /*_col(79) "Chi-square" _col(94) "df" _col(99) "p-value"*/ di "{hline 88}" } else { di "" di "" di "" } while (`continue') { local cpt=0 local testR_varchi2_temp=0 local testR_p_temp=0 local testR_item_temp=0 local chi2encours_temp=-1 local continue=0 local sem forvalues j=1/`nbitems' { local sem local already=0 forvalues i=1/`nbitems' { if `RS'[`i',3]==0&`RS'[`i',2]==0&`i'!=`j' { local sem `sem' `sem`i'' } else if `RS'[`i',3]==0&`RS'[`i',2]==1&`i'!=`j' { local sem `sem' `semrecU`i'' } else if `RS'[`i',3]==1&`RS'[`i',2]==0&`i'!=`j' { local sem `sem' `semrep`i'' } else if `RS'[`i',3]==1&`RS'[`i',2]==1&`i'!=`j' { local sem `sem' `semrecUrep`i'' } else if `i'==`j'&`RS'[`j',3]==0&`RS'[`i',2]==0 { local sem `sem' `semrep`i'' } else if `i'==`j'&`RS'[`j',3]==0&`RS'[`i',2]==1&`RS'[`i',1]==0 { local sem `sem' `semrecUrep`i'' } else if `i'==`j'&`RS'[`j',3]==0&`RS'[`i',2]==1&`RS'[`i',1]==1 { local already=1 } else if `i'==`j'&`RS'[`j',3]==1&`RS'[`i',2]==0 { local sem `sem' `semrep`i'' local already=1 } else if `i'==`j'&`RS'[`j',3]==1&`RS'[`i',2]==1 { local sem `sem' `semrecUrep`i'' local already=1 } } if (`already'!=1) { qui sem `sem',var(T1@1) var(T2) means(T1@0) means(T2) `var' iterate(100) method(`method') `covariances' qui estat gof local chi2encours=r(chi2_ms) local dfencours=r(df_ms) local pencours=r(p_ms) local bicencours=r(bic) if (abs(`chi2encours'-`prec_chi2')>invchi2(1,0.95)&abs(`chi2encours'-`prec_chi2')>`testR_varchi2_temp'&`chi2encours'<`prec_chi2') { local continue=1 local testR_varchi2_temp =abs(`chi2encours'-`prec_chi2' ) local testR_p_temp =1-chi2(1,`testR_varchi2_temp') local testR_item_temp=`j' local chi2encours_tmp=`chi2encours' local tmp=`chi2encours' } if ( `chi2encours'<`prec_chi2') { if "`html'" != "" { di "" } else { di in gr "``j''" _col(20) %8.2f in ye `chi2encours' _col(30) %4.0f `dfencours' _col(37) %6.4f `pencours' _col(45) %7.2f `bicencours' _col(61) %8.2f `=abs(`chi2encours'-`prec_chi2' )' _col(74) "1" %6.4f _col(83) `=1-chi2(1,abs(`chi2encours'-`prec_chi2' ))' /*_col(82) %8.2f `=abs(`chi2encours'-`chi21')' _col(90) %6.0f `=abs(`df3'+1-`dfc1')' _col(100) %6.4f `=1-chi2(abs(`df3'+1-`dfc1'),abs(`chi2encours'-`chi21'))'*/ } } else { if "`html'" != "" { di "" } else { di in gr "``j''" _col(20) %8.2f in ye `chi2encours' _col(40) "Unavailable" } } local ++cpt } } if (`testR_item_temp'!=0) { matrix `RS'[`testR_item_temp',3]=1 local ++df3 local testR_varchi2=`testR_varchi2_temp' local testR_p=`testR_p_temp' local testR_item_temp=0 local prec_chi2=`tmp' } if (`cpt'!=0) { if "`html'" != "" { di "" } else { di "{hline 88}" } } } if "`html'" != "" { di "
Reprioritization
Comparison with previous model
ItemsChi-squaredfp-valueBICChi-squaredfp-value
``j''" %8.2f `chi2encours' "" %4.0f `dfencours' "" %6.4f `pencours' "" %7.2f `bicencours' "" %8.2f `=abs(`chi2encours'-`prec_chi2' )' "1" %6.4f `=1-chi2(1,abs(`chi2encours'-`prec_chi2' ))' "
``j''" %8.2f `chi2encours' "Unavailable

" } } /************************************************************************************************************** Model 3 Final ***************************************************************************************************************/ di local continue=1 local var local sem forvalues i=1/`nbitems' { local sem`i' "(T1@load`i' _cons@int`i'->``i'') (T2@load`i' _cons@int`i'->``=`i'+`nbitems''')" local semrecU`i' "(T1@load`i' _cons->``i'') (T2@load`i' _cons->``=`i'+`nbitems''')" local semrecUrep`i' "(T1 _cons->``i'') (T2 _cons->``=`i'+`nbitems''')" local semrep`i' "(T1 _cons@int`i'->``i'') (T2 _cons@int`i'->``=`i'+`nbitems''')" local var`i' "var(e.``i''@var`i') var(e.``=`i'+`nbitems'''@var`i')" local varrecNU`i' "var(e.``i'') var(e.``=`i'+`nbitems''')" if `RS'[`i',1]==1 { local var "`var' `varrecNU`i''" } if `RS'[`i',1]==0 { local var "`var' `var`i''" } if `RS'[`i',2]==0&`RS'[`i',3]==0 { local sem "`sem' `sem`i''" } if `RS'[`i',2]==0&`RS'[`i',3]==1 { local sem "`sem' `semrep`i''" } if `RS'[`i',2]==1&`RS'[`i',3]==0 { local sem "`sem' `semrecU`i''" } if `RS'[`i',2]==1&`RS'[`i',3]==1 { local sem "`sem' `semrecUrep`i''" } } qui sem `sem',var(T1@1) var(T2) means(T1@0) means(T2) `var' iterate(100) method(`method') `covariances' tempname b V matrix `b'=e(b) matrix `V'=e(V) local truechange=`b'[1,`=`nbitems'*4+1'] local Vtruechange=`V'[`=`nbitems'*4+1',`=`nbitems'*4+1'] qui estat gof local tli3=r(tli) local cfi3=r(cfi) local srmr3=r(srmr) local rmsea3=r(rmsea) local ubrmsea3=r(ub90_rmsea) local lbrmsea3=r(lb90_rmsea) local chi23=r(chi2_ms) local dfc3=`df3' local p3=r(p_ms) local bic3=r(bic) /************************************************************************************************************** Bilan ***************************************************************************************************************/ if "`html'"=="" { di di "{hline 74}" di in gr _col(22) "Non uniform" _col(46) "Uniform" di in gr "Items" _col(20) "Recalibration" _col(40) "Recalibration" _col(58) "Reprioritization" di "{hline 74}" } else { di "" di "" di "" di "" } forvalues i=1/`nbitems' { local recNU local recU local rep if (`RS'[`i',1]==1) { local recNU "*" } if (`RS'[`i',2]==1) { local recU "*" } if (`RS'[`i',3]==1) { local rep "*" } if "`html'"=="" { di in gr "``i''" in ye _col(32) "`recNU'" _col(52) "`recU'" _col(73) "`rep'" } else { di "" } } if "`html'"=="" { di "{hline 74}" } else { di "
ItemsNon-uniform
Recalibration
Uniform
Recalibration

Repriorisation
``i''`recNU'`recU'`rep'
" } /************************************************************************************************************** Model 4 ***************************************************************************************************************/ if "`model4'"=="" { local qui qui } else { local qui } `qui' sem `sem',var(T1@1) var(T2) means(T1@0) means(T2) `var' iterate(100) `covariances' tempname b V matrix `b'=e(b) matrix `V'=e(V) local truechange=`b'[1,`=`nbitems'*4+1'] local Vtruechange=`V'[`=`nbitems'*4+1',`=`nbitems'*4+1'] qui estat gof,stat(all) local tli4=r(tli) local cfi4=r(cfi) local srmr4=r(srmr) local rmsea4=r(rmsea) local ubrmsea4=r(ub90_rmsea) local lbrmsea4=r(lb90_rmsea) local chi24=r(chi2_ms) local dfc4=`df3'+1 local p4=r(p_ms) local chi2encours=r(chi2_ms) local bic4=r(bic) local z=`truechange'/sqrt(`Vtruechange') if "`html'" != "" { di "" di "" di "" di "" di "" di "" di "" di "
Modelschi2dfpBICRMSEAIC90%(RMSEA)SRMRCFITLI
Model 1" %8.2f `chi21' "" %4.0f `dfc1' "" %7.2f `bic1' "" %6.4f `p1' "" %6.4f `rmsea1' "" %6.4f `lbrmsea1' "-" %6.4f `ubrmsea1' "" %6.4f `srmr1' "" %6.2f `cfi1' "" %6.2f `tli1' "
Model 2" %8.2f `chi22' "" %4.0f `dfc2' "" %7.2f `bic2' "" %6.4f `p2' "" %6.4f `rmsea2' "" %6.4f `lbrmsea2' "-" %6.4f `ubrmsea2' "" %6.4f `srmr2' "" %6.2f `cfi2' "" %6.2f `tli2' "
Model 4" %8.2f `chi24' "" %4.0f `dfc4' "" %7.2f `bic4' "" %6.4f `p4' "" %6.4f `rmsea4' "" %6.4f `lbrmsea4' "-" %6.4f `ubrmsea4' "" %6.4f `srmr4' "" %6.2f `cfi4' "" %6.2f `tli4' "
" } else { di di "{hline 95}" di in gr "Models" _col(14) "chi2" _col(22) "df" _col(31) "p" _col(40) "BIC" _col(47) "RMSEA" _col(55) "IC90%(RMSEA)" _col(72) "SRMR" _col(83) "CFI" _col(93) "TLI" di "{hline 95}" di in green "Model 1" in ye _col(10) %8.2f `chi21' _col(20) %4.0f `dfc1' _col(26) %6.4f `p1' _col(36) %7.2f `bic1' _col(46) %6.4f `rmsea1' _col(54) %6.4f `lbrmsea1' "-" %6.4f `ubrmsea1' _col(70) %6.4f `srmr1' _col(80) %6.2f `cfi1' _col(90) %6.2f `tli1' di in green "Model 2" in ye _col(10) %8.2f `chi22' _col(20) %4.0f `dfc2' _col(26) %6.4f `p2' _col(36) %7.2f `bic2' _col(46) %6.4f `rmsea2' _col(54) %6.4f `lbrmsea2' "-" %6.4f `ubrmsea2' _col(70) %6.4f `srmr2' _col(80) %6.2f `cfi2' _col(90) %6.2f `tli2' *di in green "Model 3" in ye _col(10) %8.2f `chi23' _col(20) %4.0f `dfc3' _col(30) %6.4f `p3' _col(40) %6.4f `rmsea3' _col(50) %6.4f `lbrmsea3' "-" %6.4f `ubrmsea3' _col(70) %6.4f `srmr3' _col(80) %6.2f `cfi3' _col(90) %6.2f `tli3' di in green "Model 4" in ye _col(10) %8.2f `chi24' _col(20) %4.0f `dfc4' _col(26) %6.4f `p4' _col(36) %7.2f `bic4' _col(46) %6.4f `rmsea4' _col(54) %6.4f `lbrmsea4' "-" %6.4f `ubrmsea4' _col(70) %6.4f `srmr4' _col(80) %6.2f `cfi4' _col(90) %6.2f `tli4' di "{hline 95}" } if "`html'" != "" { di "" di "" di "" di "" di "" di "" di "
Estimations.e.zp-value
True change (Model 2)" %8.4f `truechange2' "" %8.4f `=sqrt(`Vtruechange2')' "" %6.2f `=`truechange2'/sqrt(`Vtruechange2')' "" %6.4f `=2-2*normal(abs(`truechange2')/sqrt(`Vtruechange2'))' "
True change (Model 4)" %8.4f `truechange' "" %8.4f `=sqrt(`Vtruechange')' "" %6.2f `=`truechange'/sqrt(`Vtruechange')' "" %6.4f `=2-2*normal(abs(`truechange')/sqrt(`Vtruechange'))' "
" } else { di di "{hline 77}" di _col(23) in gr "Estimation" _col(44) "s.e." _col(60) "z" _col(71) "p-value" di "{hline 77}" di in gr "True change (Model 2)" in ye _col(25) %8.4f `truechange2' _col(40) %8.4f `=sqrt(`Vtruechange2')' _col(56) %6.2f `=`truechange2'/sqrt(`Vtruechange2')' _col(72) %6.4f `=2-2*normal(abs(`truechange2')/sqrt(`Vtruechange2'))' di in gr "True change (Model 4)" in ye _col(25) %8.4f `truechange' _col(40) %8.4f `=sqrt(`Vtruechange')' _col(56) %6.2f `=`truechange'/sqrt(`Vtruechange')' _col(72) %6.4f `=2-2*normal(abs(`truechange')/sqrt(`Vtruechange'))' di "{hline 77}" di } qui use `saversoort',clear end