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233 lines
9.1 KiB
Plaintext
233 lines
9.1 KiB
Plaintext
************************************************************************************************************
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* Traces: Traces of items
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* version 3: July 9, 2003
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*
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* Historic:
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* Version 1 (2003-06-29): Jean-Benoit Hardouin
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* Version 2 (2003-07-04): Jean-Benoit Hardouin
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*
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* Jean-benoit Hardouin, Regional Health Observatory of Orléans - France
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* jean-benoit.hardouin@neuf.fr
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*
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* News about this program : http://anaqol.free.fr
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* FreeIRT Project : http://freeirt.free.fr
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*
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* Copyright 2003 Jean-Benoit Hardouin
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*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software
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* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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*
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************************************************************************************************************
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program define traces
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version 8.0
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syntax varlist(numeric min=2) [, score test restscore logistic ci cumulative repfiles(string) scorefiles(string) restscorefiles(string) logisticfile(string) nodraw nodrawcomb replace]
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local nbitems : word count `varlist'
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tokenize `varlist'
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tempvar varscore
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gen `varscore'=0
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label variable `varscore' "Total score"
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local scoremax=0
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local flag=0
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if "`score'"==""&"`restscore'"==""&&"`logistic'"=="" {
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local score="score"
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}
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forvalues i=1/`nbitems' {
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qui replace `varscore'=`varscore'+``i''
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qui su ``i''
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local modamax`i'=r(max)
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if r(min)!=0 {
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local flag=1
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}
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local scoremax=`scoremax'+`modamax`i''
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if `modamax`i''!=1 {
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local flagbin=0
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}
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}
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if `flag'==1 {
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di as error "The lower modalities of the item must be 0"
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exit
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}
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qui su `varscore'
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local maxscore=r(max)
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forvalues i=0/`maxscore' {
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qui count if `varscore'==`i'
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local nscore`i'=r(N)
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}
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if "`flagbin'"!=""&"`logistic'"!="" {
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di as error "The logistic option is impossible with polytomic items"
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exit
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}
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global score
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global restscore
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global logistic
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forvalues i=1/`nbitems' {
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if "`score'"!="" {
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local y`i'
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forvalues k=1/`modamax`i'' {
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tempvar propscore`i'`k' tmp
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if "`cumulative'"!="" {
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gen `tmp'=``i''>=`k'
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bysort `varscore' : egen `propscore`i'`k''=mean(`tmp')
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label variable `propscore`i'`k'' "Item ``i''>=`k'"
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}
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else {
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gen `tmp'=``i''==`k'
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bysort `varscore' : egen `propscore`i'`k''=mean(`tmp')
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label variable `propscore`i'`k'' "Item ``i''=`k'"
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}
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local y`i'="`y`i'' `propscore`i'`k''"
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local style="solid"
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local color="black"
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local width="medthick"
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if `modamax`i''==1&"`ci'"!="" {
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tempvar icscoreminus icscoreplus
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gen `icscoreminus'=`propscore`i'1'-1.96*sqrt(`propscore`i'1'*(1-`propscore`i'1')/`nscore`i'')
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gen `icscoreplus'=`propscore`i'1'+1.96*sqrt(`propscore`i'1'*(1-`propscore`i'1')/`nscore`i'')
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label variable `icscoreminus' "Lower 95% confidence interval"
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label variable `icscoreplus' "Upper 95% confidence interval"
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local y`i'="`icscoreminus' `icscoreplus' `propscore`i'1'"
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local style="dash dash solid"
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local color="red red black"
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local width="thin thin medthick"
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}
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if `modamax`i''==1&"`test'"!="" {
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qui regress `propscore`i'1' `varscore'
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local p=Fden(e(df_m),e(df_r),e(F))
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if `p'<0.0001 {
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local note="Test: slope=0, p<0.0001"
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}
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else {
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local p=substr("`p'",1,6)
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local note="Test: slope=0, p=`p'"
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}
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}
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}
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qui graph twoway (line `y`i'' `varscore', clpattern(`style') clcolor(`color') clwidth(`width')) if `varscore'!=0&`varscore'!=`maxscore' , note("`note'") ylabel(0(.25)1) xlabel(0(1)`scoremax') name(score`i',replace) title("Trace of the item ``i'' in fonction of the score") ytitle("Rate of positive response") `draw'
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global score "$score score`i'"
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if "`scorefiles'"!="" {
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graph save score`i' `repfiles'\\`scorefiles'``i'' ,`replace'
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}
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}
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if "`restscore'"!="" {
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local y`i'
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tempvar restscore`i'
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gen `restscore`i''=`varscore'-``i''
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label variable `restscore`i'' "Rest score with respect to the item ``i''"
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forvalues k=1/`modamax`i'' {
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tempvar rtmp proprestscore`i'`k'
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if "`cumulative'"!="" {
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gen `rtmp'=``i''>=`k'
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bysort `restscore`i'': egen `proprestscore`i'`k''=mean(`rtmp')
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label variable `proprestscore`i'`k'' "Item ``i''>=`k'"
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}
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else {
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gen `rtmp'=``i''==`k'
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bysort `restscore`i'': egen `proprestscore`i'`k''=mean(`rtmp')
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label variable `proprestscore`i'`k'' "Item ``i''=`k'"
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}
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local y`i'="`y`i'' `proprestscore`i'`k''"
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local style="solid"
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local color="black"
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local width="medthick"
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if `modamax`i''==1&"`ci'"!="" {
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tempvar icrestscoreminus icrestscoreplus
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qui su `restscore`i''
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local maxrestscore=r(max)
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forvalues l=1/`maxrestscore' {
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qui count if `restscore`i''==`l'
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local nrestscore`i'=r(N)
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}
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gen `icrestscoreminus'=`proprestscore`i'1'-1.96*sqrt(`proprestscore`i'1'*(1-`proprestscore`i'1')/`nrestscore`i'')
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gen `icrestscoreplus'=`proprestscore`i'1'+1.96*sqrt(`proprestscore`i'1'*(1-`proprestscore`i'1')/`nrestscore`i'')
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label variable `icrestscoreminus' "Lower 95% confidence interval"
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label variable `icrestscoreplus' "Upper 95% confidence interval"
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local y`i'="`icrestscoreminus' `icrestscoreplus' `proprestscore`i'1'"
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local style="dash dash solid"
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local color="red red black"
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local width="thin thin medthick"
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}
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if `modamax`i''==1&"`test'"!="" {
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qui regress `proprestscore`i'1' `varscore'
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local p=Fden(e(df_m),e(df_r),e(F))
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if `p'<0.0001 {
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local note="Test: slope=0, p<0.0001"
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}
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else {
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local p=substr("`p'",1,6)
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local note="Test: slope=0, p=`p'"
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}
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}
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}
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local restscoremax=`scoremax'-`modamax`i''
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qui graph twoway (line `y`i'' `restscore`i'', clpattern(`style') clcolor(`color') clwidth(`width')), note("`note'") ylabel(0(0.25)1) xlabel(0(1)`restscoremax') name(restscore`i',replace) title("Trace of the item ``i'' in fonction of the restscore") ytitle("Rate of positive response") `draw'
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global restscore "$restscore restscore`i'"
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if "`restscorefiles'"!="" {
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graph save restscore`i' `repfiles'\\`restscorefiles'``i'' ,`replace'
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}
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}
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if "logistic"!="" {
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qui logistic ``i'' `varscore'
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tempname coef
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matrix `coef'=e(b)
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local pente`i'=`coef'[1,1]
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local intercept`i'=`coef'[1,2]
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tempvar logit`i'
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gen `logit`i''=exp(`intercept`i''+`pente`i''*`varscore')/(1+exp(`intercept`i''+`pente`i''*`varscore'))
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label variable `logit`i'' "Item ``i''"
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sort `varscore'
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global logistic "$logistic `logit`i''"
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}
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}
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if "`drawcomb'"!="" {
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local drawcomb="nodraw"
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}
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if "`score'"!="" {
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graph combine $score , title("Trace of the items in function of the score") name(score,replace) `drawcomb'
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if "`scorefiles'"!="" {
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graph save score `repfiles'\\`scorefiles' ,`replace'
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}
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}
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if "`restscore'"!="" {
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graph combine $restscore , title("Trace of the items in function of the restscores") name(restscore,replace) `drawcomb'
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if "`restscorefiles'"!="" {
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graph save restscore `repfiles'\\`restscorefiles' ,`replace'
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}
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}
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if "`logistic'"!="" {
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graph twoway (line $logistic `varscore'), ylabel(0(0.25)1) xlabel(0(1)`nbitems') title("Logistic traces") ytitle("") name(logistic,replace) `drawcomb'
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if "`logisticfile'"!="" {
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graph save logistic `repfiles'\\`logisticfile' ,`replace'
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}
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}
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end
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