*! Raschfit version 3.1 (29 January 2006) *! Jean-Benoit Hardouin ************************************************************************************************************ * Stata program : Raschfit * The Raschfit and the Raschfit-fast procedures to construct sub-scales of items * Release 3.1 : January 29, 2006 /*MEAN option in raschtestv7, correction of a bug when there is several scales*/ * * Historic * Version 1 (2004-05-06) [Jean-Benoit Hardouin] * Version 2 (2004-06-08) [Jean-Benoit Hardouin] * Version 3 (2005-12-28) [Jean-Benoit Hardouin] * * Jean-benoit Hardouin, Regional Health Observatory of Orléans - France * jean-benoit.hardouin@neuf.fr * * Use the Stata programs mmsrm, raschtest and gammasym who can be download on http://anaqol.free.fr * News about this program :http://anaqol.free.fr * * FreeIRT Project website : http://freeirt.free.fr * * Copyright 2004-2006 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 * ************************************************************************************************************ program define raschfit,rclass version 7 syntax varlist(min=2 numeric) [,KERnel(integer 0) NBSCales(integer 1) ITEMSorder(string) nofast ] if "`itemsorder'"=="" { local itemsorder mspinv } local nbitemstot : word count `varlist' tokenize `varlist' tempfile raschfitfile qui save `raschfitfile',replace preserve tempname affect matrix define `affect'=J(1,`nbitemstot',0) matrix colnames `affect'=`varlist' tempname rep item matbetadim1 matbetadim2 if `kernel'!=0 { local listkernel forvalues i=1/`kernel' { local listkernel `listkernel' `rep'`i' matrix `affect'[1,`i']=1 } } local dim=0 local nbitemsnosel=`nbitemstot' local nbitemstotdim1=`nbitemstot' local nbitemsnoselukernel=`nbitemstot'-`kernel' tempvar id betadim1 betadim2 forvalues i=1/`nbitemstot' { qui drop if ``i''==. rename ``i'' `rep'`i' } qui gen `id'=_n tempfile filescale qui save `filescale',replace di in green "{hline 55}" qui count local N=r(N) if "`fast'"!="" { di in green "Method: " in ye "Raschfit" } else { di in green "Method: " in ye "Raschfit-Fast" } di in green "Number of individuals: " in ye `N' in green " (with none missing values)" di in green "Number of items: " in ye `nbitemstot' di in green "{hline 55}" di di in green "{hline 100}" if "`fast'"!="" { di in green "Model 1: " in ye "Rasch model" di in green "Model 2: " in ye "MMSRM" } else { di in green "Model 1: " in ye "Rasch model" di in green "Model 2: " in ye "Adapted Rasch model (the response of the new item is not influenced by the latent trait)" } di in green "Order of the items:" _c if "`itemsorder'"=="order" { di in ye " order of {it:varlist}" } else if "`itemsorder'"=="msp" { di in ye " Obtained with MSP (from the first selected item to the last one)" } else if "`itemsorder'"=="mspinv" { di in ye " Obtained with MSP (from the last selected item to the first one)" } if `kernel'!=0 { di in green "Kernel of the first scale: " _c forvalues i=1/`kernel' { di in ye " ``i''" _c } di } di in green "{hline 100}" di while `nbitemsnosel'>2&`dim'<`nbscales' { use `filescale',replace local iteration=0 local dim=`dim'+1 if `dim'>1 { local kernel=0 local listkernel } di in green "SCALE: " in yellow `dim' di in green "{hline 9}" di tempname result`dim' local listitemsnosel local varlist`dim' tokenize `varlist' forvalues i=1/`nbitemstot' { if `affect'[1,`i']==0 { local varlist`dim' `varlist`dim'' ``i'' local listitemsnosel `listitemsnosel' `rep'`i' } } local nbitemsnosel:word count `listitemsnosel' if `dim'>1 { local nbitemstotdim`dim':word count `listitemsnosel' } if `kernel'>=2 { local fixed=`kernel' } else { local fixed=2 } matrix define `result`dim''=J(`=`nbitemstotdim`dim''-`fixed'',`=`nbitemstotdim`dim''+7',0) tempname order`dim' affect`dim' matrix `order`dim''=J(1,`nbitemstotdim`dim'',0) matrix `affect`dim''=J(1,`nbitemstotdim`dim'',0) if "`itemsorder'"=="msp"|"`itemsorder'"=="mspinv" { di in green _col(0) "The program is ordering the items" di qui msp `listkernel' `listitemsnosel',c(-99) notest kernel(`kernel') local scale1 "`r(scale1)'" local scalenum1 "`r(scalenum1)'" tokenize `scalenum1' local listitemsselnum forvalues j=`=`nbitemstotdim`dim''+1-`fixed''/`nbitemstotdim`dim'' { matrix `order`dim''[1,`j']=1 local k:word `j' of `scalenum1' matrix `affect`dim''[1,`k']=1 local listitemsselnum `listitemsselnum' `k' } forvalues j=1/`nbitemsnosel' { matrix `order`dim''[1,`j']=`=`nbitemsnosel'+1-`j'' } tokenize `scale1' local listitemssel ``=`nbitemstotdim`dim''-1'' ``nbitemstotdim`dim''' local listitemsnosel local listitemsnoselnum if "`itemsorder'"=="mspinv" { forvalues j=1/`=`nbitemstotdim`dim''-`fixed'' { local listitemsnosel `listitemsnosel' ``j'' local k:word `j' of `scalenum1' local listitemsnoselnum `listitemsnoselnum' `k' } } else if "`itemsorder'"=="msp"{ forvalues j=`=`nbitemstotdim`dim''-`fixed''(-1)1 { local listitemsnosel `listitemsnosel' ``j'' local k:word `j' of `scalenum1' local listitemsnoselnum `listitemsnoselnum' `k' } } } else if "`itemsorder'"=="order" { tokenize `listkernel' `varlist`dim'' local listitemssel local listitemsselnum local listitemsnosel local listitemsnoselnum forvalues j=1/`fixed'{ local listitemssel `listitemssel' `rep'`j' local listitemsselnum `listitemsselnum' `j' matrix `affect`dim''[1,`j']=1 } forvalues j=`=`fixed'+1'/`nbitemstotdim`dim'' { local listitemsnosel `listitemsnosel' `rep'`j' local listitemsnoselnum `listitemsnoselnum' `j' } } if `dim'>1 { tokenize `varlist`dim'' } else { tokenize `varlist' } local nbitemsnosel:word count `listitemsnosel' local list tokenize `varlist`dim'' forvalues i=1/`=`nbitemsnosel'+`fixed'' { local tmp:word `i' of `listitemsnoselnum' `listitemsselnum' local list `list' ``tmp'' } matrix colnames `result`dim''=`list' Iteration Nbitems ll1 AIC1 ll2 AIC2 Selected di _col(0) in green "The kernel of the scale is " in yellow _continue forvalues i=1/`fixed' { local inum:word `i' of `listitemsselnum' di in yellow "``inum'' " _continue } di di tokenize `listitemsnosel' di in green "{hline 90}" di in green _col(36) "Log-Likelihood" _col(58) "Akaike Criterion (AIC)" di in green _col(4) "Iteration" _col(20) "New Item" _col(34) "Model 1" _col(47) "Model 2" _col(60) "Model 1" _col(73) "Model 2" _col(81) "Selected" di in green "{hline 90}" forvalues i=1/`=`nbitemsnosel-2'' { local iteration=`iteration'+1 qui use `filescale' , clear local i2:word `i' of `listitemsnosel' local i2num:word `i' of `listitemsnoselnum' qui keep `id' `listitemssel' `i2' tempname score1 score2 qui gen `score2'=0 tokenize `listitemssel' local nbitemssel: word count `listitemssel' forvalues j=1/`i' { local j2num:word `j' of `listitemsnoselnum' if `affect`dim''[1,`j2num']==1 { matrix `result`dim''[`iteration',`j']=1 } } forvalues j=1/`nbitemssel' { local j2:word `j' of `listitemssel' local j2num:word `j' of `listitemsselnum' qui replace `score2'=`score2'+`j2' } tokenize `listitemsnosel' qui gen `score1'=`score2'+`i2' forvalues j=`=`nbitemsnosel'+1'/`=`nbitemsnosel'+`nbitemssel'' { matrix `result`dim''[`iteration',`j']=1 } matrix `result`dim''[`iteration',`=`nbitemstotdim`dim''+1']=`iteration' matrix `result`dim''[`iteration',`=`nbitemstotdim`dim''+2']=`nbitemssel' matrix `result`dim''[`iteration',`i']=2 if "`fast'"=="" { qui count local N=r(N) * di "qui raschtestv7 `listitemssel' `i2' , mean method(cml) test(none)" qui raschtestv7 `listitemssel' `i2' , mean method(cml) test(none) matrix `result`dim''[`iteration',`=`nbitemstotdim`dim''+3']=r(ll) matrix `result`dim''[`iteration',`=`nbitemstotdim`dim''+4']=2*(-r(ll)+(2*`nbitemssel'+3)) local nb1:word count `listitemssel' qui raschtestv7 `listitemssel',trace test(none) mean matrix `result`dim''[`iteration',`=`nbitemstotdim`dim''+5']=r(ll) qui logit `i2' matrix `result`dim''[`iteration',`=`nbitemstotdim`dim''+5']=`result`dim''[`iteration',`=`nbitemstotdim`dim''+5']+e(ll) matrix `result`dim''[`iteration',`=`nbitemstotdim`dim''+6']=2*(-`result`dim''[`iteration',`=`nbitemstotdim`dim''+5']+(2*`nbitemssel'+3)) } else { qui count local N=r(N) qui raschtestv7 `listitemssel' `i2' , method(mml) test(none) matrix `result`dim''[`iteration',`=`nbitemstotdim`dim''+3']=r(ll) matrix `result`dim''[`iteration',`=`nbitemstotdim`dim''+4']=2*(-r(ll)+`nbitemssel'+2) local nb1:word count `listitemssel' qui mmsrm `listitemssel' `i2' , part(`nb1' 1) iterate(20) matrix `result`dim''[`iteration',`=`nbitemstotdim`dim''+5']=e(ll) matrix `result`dim''[`iteration',`=`nbitemstotdim`dim''+6']=2*(-e(ll)+`nbitemssel'+4) } tokenize `listkernel' `varlist`dim'' di in ye _col(4) %9.0f `iteration' _col(14) %14s abbrev("``i2num''",14) _col(29) %12.4f `result`dim''[`iteration',`=`nbitemstotdim`dim''+3'] _col(42) %12.4f `result`dim''[`iteration',`=`nbitemstotdim`dim''+5'] _col(55) %12.4f `result`dim''[`iteration',`=`nbitemstotdim`dim''+4'] _col(68) %12.4f `result`dim''[`iteration',`=`nbitemstotdim`dim''+6'] _c if `result`dim''[`iteration',`=`nbitemstot'+4']<=`result`dim''[`iteration',`=`nbitemstot'+6'] { matrix `result`dim''[`iteration',`i']=1 matrix `result`dim''[`iteration',`=`nbitemstotdim`dim''+7']=1 local nbitemssel=`nbitemssel'+1 local nbitemsnosel=`nbitemsnosel'-1 * local listitemssel `listitemssel' `rep'`i2num' local listitemssel `listitemssel' `i2' local listitemsselnum `listitemsselnum' `i2num' matrix `affect`dim''[1,`i2num']=1 di in ye _col(88) "X" } else { matrix `result`dim''[`iteration',`=`nbitemstotdim`dim''+7']=2 di } } di in green "{hline 90}" return matrix result`dim' `result`dim'' local j=`kernel'+1 forvalues i=`=`kernel'+1'/`nbitemstot' { if `affect'[1,`i']==0 { if `affect`dim''[1,`j']==1 { matrix `affect'[1,`i']=`dim' } local j=`j'+1 } } } use `raschfitfile',clear return matrix affect `affect' end