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*! Version 6.6 16 Februar 2007
*! Jean-Benoit Hardouin
************************************************************************************************************
* Stata program : msp
* Mokken Scale Procedure
* Release 6.6: Februar 16, 2007 /*Tests of the loevinger H indices, adaptation for loevH 6.6, noadjust option, improvements*/
*
* Historic :
* Version 1 - lose version (August 20, 2002) [Jean-Benoit Hardouin]
* Version 2 (September 25, 2002) [Jean-Benoit Hardouin]
* Version 3 (December 1, 2003) [Jean-Benoit Hardouin]
* Version 4 (January 20, 2004) [Jean-Benoit Hardouin]
* Version 5 (March 22, 2004) [Jean-Benoit Hardouin]
* Version 5.1 (May 1st, 2004) [Jean-Benoit Hardouin]
* Version 6 : (July 5, 2004) [Jean-Benoit Hardouin]
* Version 6.1 : (September 5, 2004) [Jean-Benoit Hardouin]
* Version 6.2 : (January 22, 2006) [Jean-Benoit Hardouin] /*English improvements*/
* Release 6.3 : (March 20, 2006) [Jean-Benoit Hardouin] /*A bug with temporary files */
*
* Jean-benoit Hardouin, University of Nantes - Faculty of Pharmaceutical Sciences
* Department of Biostatistics - France
* jean-benoit.hardouin@anaqol.org
*
* The Stata program loevH is needed. It can be downloaded on http://www.anaqol.org
* News about this program :http://www.anaqol.org
* FreeIRT Project website : http://www.freeirt.org
*
* Copyright 2002-2007 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 msp , rclass
version 7.0
syntax varlist(min=2 numeric) [,c(real 0.3) noDETails KERnel(integer 0) noTEst p(real 0.05) PAIRWise MINValue(real 0) noBon noADJust]
local nbitems : word count `varlist'
tokenize `varlist'
tempfile mspfile
qui save "`mspfile'"
if "`pairwise'"=="" {
forvalues j=1/`nbitems' {
qui drop if ``j''==.
}
}
if "`test'"!="" {
local p=1
local minvalue=-99
local bon nobon
}
qui loevH `varlist',`pairwise' pair `adjust'
tempname pvalHjk loevHjk loevHjks loevHj loevH Hjk stopscale stop dim plusitems Hjkmax Hjmax Hmax nbitemsel
matrix `loevHjk'=r(loevHjk)
matrix `loevHjks'=r(loevHjk)
matrix `pvalHjk'=r(pvalHjk)
matrix `loevHj'=r(loevHj)
scalar `loevH'=r(loevH)
matrix `Hjk'=`loevHjk'
matrix define `dim'=J(1,`nbitems',0)
global scale=0
scalar `stopscale'=0
while `stopscale'!=1 { /*WHILE IT IS POSSIBLE TO CONSTRUCT SCALES*/
global scale=$scale+1
local dimension=$scale
local scaletmp="scale$scale"
local scaletmpnum="scalenum$scale"
global `scaletmp'
global `scaletmpnum'
if "`details'"=="" {
di
di in yellow "Scale: $scale"
di "{hline 10}"
}
/**********************************************************************************************************
BEGINING OF THE INITIAL STEP
**********************************************************************************************************/
/****NONE KERNEL OR NOT THE FIRST SCALE****/
if $scale>1|`kernel'==0 {
scalar `plusitems'=0
scalar `Hjkmax'=-99
local nbitemsbon=0
forvalues j1=1/`nbitems' {
if `dim'[1,`j1']==0 {
local nbitemsbon=`nbitemsbon'+1
}
}
if `nbitemsbon'<=1 {
local nbitemsbon=2
}
local kbon=`nbitemsbon'*(`nbitemsbon'-1)/2
if "`bon'"=="" {
local pbon=`p'/`kbon'
}
else {
local pbon=`p'
}
if "`details'"==""&"`test'"=="" {
di in green "Significance level: " in yellow %8.6f `pbon'
}
forvalues j1=1/`nbitems' { /*WE SEARCH THE BEST PAIR OF ITEMS*/
if `dim'[1,`j1']==0 {
scalar `plusitems'=1
forvalues j2=`=`j1'+1'/`nbitems' {
if `dim'[1,`j2']==0 {
if `Hjk'[`j1',`j2']>`Hjkmax'&`pvalHjk'[`j1',`j2']<=`pbon' {
scalar `Hjkmax'=`Hjk'[`j1',`j2']
global j1max=`j1'
global j2max=`j2'
}
}
}
}
}
if `Hjkmax'==-99 { /*IF NONE PAIR OF ITEM VERIFY Hjk>0*/
if `plusitems'==0 {
if "`details'"=="" {
di in green "{p}There is no more items remaining.{p_end}"
}
}
else {
if "`details'"=="" {
di as green "{p}None pair of items has a significantly positive Hjk coefficient.{p_end}"
}
}
continue, break
}
if `Hjkmax'<=`c' { /*IF NONE PAIR OF ITEM VERIFY Hjk>c*/
if $scale==1 {
if "`details'"=="" {
di as green "{p}None pair of items verifies Hjk>`c', the maximum value of these coefficients is " %6.4f `Hjkmax' ". None scale can be constructed.{p_end}"
}
}
else {
if "`details'"=="" {
di as green "{p}None new scale can be constructed because none pair of items, among the remaining items, verifies Hjk>`c'{p_end}"
}
}
scalar `stop'=1
scalar `stopscale'=1
continue, break
}
else { /*IF THERE IS AT LEAST ONE PAIR OF ITEM WHO VERIFY Hjk>c*/
matrix `dim'[1,$j1max]=$scale
matrix `dim'[1,$j2max]=$scale
local scaletmp="scale$scale"
local scaletmpnum="scalenum$scale"
global `scaletmp' "`$j1max' `$j2max'"
global `scaletmpnum' "$j1max $j2max"
if "`details'"=="" {
di in green "{p}The two first items selected in the scale " in yellow "$scale " in green "are " in yellow "`$j1max' " in green "and " in yellow "`$j2max'" in green " (Hjk=" in yellow %6.4f `Hjkmax' in green "){p_end}"
}
scalar `nbitemsel'=2
}
forvalues i=1/`nbitems' { /*WE EXCLUDE THE ITEMS WHICH VERIFY Hjk<0 WITH THE TWO SELECTED ITEMS*/
if (`loevHjks'[`i',$j1max]<`minvalue'|`pvalHjk'[`i',$j1max]>.05)&`dim'[1,`i']==0 {
matrix `dim'[1,`i']=-1
}
if (`loevHjks'[`i',$j2max]<`minvalue'|`pvalHjk'[`i',$j2max]>.05)&`dim'[1,`i']==0 {
matrix `dim'[1,`i']=-1
}
}
}
/****FIRST SCALE, KERNEL OF ONE ITEM****/
if $scale==1&`kernel'==1 {
global j1max=1
scalar `plusitems'=0
scalar `Hjkmax'=-99
if "`details'"=="" {
di in green "The item " in yellow "`1'" in green " is the kernel of the first scale"
}
local nbitemsbon=0
forvalues i=2/`nbitems' { /*WE EXCLUDE THE ITEM WHICH VERIFY Hjk<0 WITH THE ITEM OF THE KERNEL*/
if (`loevHjks'[`i',$j1max]<`minvalue'|`pvalHjk'[`i',$j1max]>.05)&`dim'[1,`i']==0 {
matrix `dim'[1,`i']=-1
}
if `dim'[1,`i']==0 {
local nbitemsbon=`nbitemsbon'+1
}
}
local kbon=`nbitemsbon'
if "`bon'"=="" {
local pbon=`p'/`kbon'
}
else {
local pbon=`p'
}
if "`details'"==""&"`test'"=="" {
di in green "Significance level: " in yellow %8.6f `pbon'
}
forvalues j2=2/`nbitems' {/*WE SEARCH THE BEST ITEM TO SELECT WITH THE KERNEL*/
if `Hjk'[`j2',1]>`Hjkmax'&`pvalHjk'[`j2',1]<`pbon' {
scalar `Hjkmax'=`Hjk'[`j2',1]
global j2max=`j2'
}
}
if `Hjkmax'==-99 {/*IF NONE ITEM CAN BE SELECTED WITH THE KERNEL Hjk<*/
if "`details'"=="" {
di as green "{p}None item associated to the item " in yellow "$j1 " in green "allows obtaining a significantly positive value for the Hjk coefficient.{p_end}"
}
continue, break
}
if `Hjkmax'<=`c' { /*IF NONE ITEM CAN BE SELECTED WITH THE KERNEL Hjk<c*/
if "`details'"=="" {
di as green "{p}None index Hjk associated to the item " in yellow "$j1 " in green "verifies Hjk>`c', the maximum value of these coefficients is " %6.4f `Hjkmax' ". None scale can be constructed.{p_end}"
}
scalar `stop'=1
scalar `stopscale'=1
continue, break
}
else { /* IF AT LEAST ONE ITEM CAN BE SELECTED WITH THE KERNEL Hjk>c*/
matrix `dim'[1,$j1max]=$scale
matrix `dim'[1,$j2max]=$scale
local scaletmp="scale$scale"
local scaletmpnum="scalenum$scale"
global `scaletmp' "`$j2max' `$j1max'"
global `scaletmpnum' "$j2max $j1max"
if "`details'"=="" {
di in green "The second item selected in the first scale is " in yellow "`$j2max' " in green "(Hjk=" in yellow %6.4f `Hjkmax' in green")"
}
scalar `nbitemsel'=2
}
forvalues i=1/`nbitems' { /*WE EXCLUDE THE ITEM WHICH VERIFY Hjk<0 WITH THE NEW SELECTED ITEM*/
if (`loevHjks'[`i',$j2max]<`minvalue'|`pvalHjk'[`i',$j2max]>.05)&`dim'[1,`i']==0 {
matrix `dim'[1,`i']=-1
}
}
}
/****FIRST SCALE, KERNEL OF SEVERAL ITEMS****/
if $scale==1&`kernel'>=2 {
global scale1
local scalenum1
local kbon=1
local pbon=`p'
if "`details'"==""&"`test'"=="" {
di in green "Significance level: " in yellow %8.6f `pbon'
}
forvalues j2=1/`kernel' {
global scale1 ``j2'' $scale1
global scalenum1 $scalenum1 `j2'
matrix `dim'[1,`j2']=1
}
if "`details'"=="" {
di in green "{p}The kernel of the first scale is composed of the items " in yellow "$scale1{p_end}"
}
scalar `nbitemsel'=`kernel'
forvalues j=1/`kernel' {
forvalues i=1/`nbitems' { /* WE EXCLUDE THE ITEMS WHICH VERIFY Hjk<0 WITH THE ITEMS OF THE KERNEL*/
if (`loevHjks'[`i',`j']<`minvalue'|`pvalHjk'[`i',`j']>.05)&`dim'[1,`i']==0 {
matrix `dim'[1,`i']=-1
}
}
}
}
local excluded
forvalues i=1/`nbitems' {
if `dim'[1,`i']==-1 {
local excluded `excluded' ``i''
matrix `dim'[1,`i']=-2
}
}
if "`excluded'"!=""&"`details'"=="" {
di in green "The following items are excluded at this step: " in yellow "`excluded'"
}
scalar `stop'=0
/**********************************************************************************************************
END OF THE INITIAL STEP
**********************************************************************************************************/
while `stop'!=1 { /*WHILE THE PROCEDURE TO CONSTRUCT THE ACTUAL SCALE IS NOT STOPPED*/
scalar `Hjmax'=-99
scalar `Hmax'=-99
global jmax=0
global stopmax=0
local nbitemsbon=0
forvalues i=1/`nbitems' {
if `dim'[1,`i']==0 {
local nbitemsbon=`nbitemsbon'+1
}
}
local kbon=`kbon'+`nbitemsbon'
if "`bon'"=="" {
local pbon=`p'/`kbon'
}
else {
local pbon=`p'
}
if "`details'"==""&"`test'"=="" {
di in green "Significance level: " in yellow %8.6f `pbon'
}
forvalues j0=1/`nbitems' {
if `dim'[1,`j0']==0 {/*IF THE ITEM J0 IS UNSELECTED*/
global stopmax=1
local scaletmp="scale$scale"
local scaletmpnum="scalenum$scale"
qui loevH ``j0'' $`scaletmp' ,`pairwise' pair `adjust'
tempname pvalHj0
matrix `pvalHj0'=r(pvalHj)
scalar `pvalHj0'=`pvalHj0'[1,1]
matrix `loevHjk'=r(loevHjk)
matrix `loevHj'=r(loevHj)
scalar `loevH'=r(loevH)
local nbitsc : word count $`scaletmp'
local nbitsc=`nbitsc'+1
if `loevHj'[1,1]>`c'&`pvalHj0'<`pbon' {/*IF THE ITEM J0 CAN BE SELECTED*/
if `loevH'>`Hmax' {/*AND IF IT IS THE BEST ITEM (COMPARED TO THE PRECEEDING ITEMS)*/
scalar `Hjmax'=`loevHj'[1,1]
scalar `Hmax'=`loevH'
global j="``j0''"
global j0=`j0'
}
}
}
}
if $stopmax==1&`Hjmax'==-99 { /*IF THERE IS ITEMS REMAINING BUT NONE OF THEM CAN BE SELECTED*/
if "`details'"=="" {
di in green "{p}None new item can be selected in the scale $scale because all the Hj are lesser than `c' or none new item has all the related Hjk coefficients significantly greater than 0{p_end}."
}
scalar `stop'=1
continue,break
}
if $stopmax==0 { /*IF THERE IS NO MORE ITEM REMAINING*/
if "`details'"=="" {
di in green "{p}There is no more items remaining.{p_end}"
}
scalar `stopscale'=1
scalar `stop'=1
forvalues i=1/`nbitems' {
if `dim'[1,`i']<0 {
scalar `stopscale'=0
}
}
*global scale=$scale-1
continue,break
}
if `stop'!=1 { /*IF THE PROCEDURE IS NOT STOPPED*/
matrix `dim'[1,$j0]=$scale
local `scaletmp'="scale$scale"
local `scaletmpnum'="scalenum$scale"
global `scaletmp' $j $`scaletmp'
global `scaletmpnum' $j0 $`scaletmpnum'
if "`details'"=="" {
di in green "The item " in yellow "`$j0' " in green "is selected in the scale " in yellow "$scale" _col(50) in green "Hj=" in yellow %6.4f `Hjmax' _col(65) in green "H=" in yellow %6.4f `Hmax' ""
}
local excluded
forvalues i=1/`nbitems' {
if `dim'[1,`i']==-1 {
matrix `dim'[1,`i']=-2
}
if `dim'[1,`i']==0 { /*WE EXCLUDE ITEMS WHO HAVE A NEGATIVE Hjk WITH THE NEW SELECTED ITEM*/
if `loevHjks'[`i',$j0]<`minvalue'|`pvalHjk'[`i',$j0]>.05 {
matrix `dim'[1,`i']=-1
local excluded `excluded' ``i''
}
}
}
if "`excluded'"!=""&"`details'"=="" {
di in green "The following items are excluded at this step: " in yellow "`excluded'"
}
}
}
di
local scaleencours="scale$scale"
local scalenumencours="scalenum$scale"
local nbitemscale : word count $`scaleencours'
return scalar nbitems`dimension'=`nbitemscale'
if `nbitemscale'>0 { /* IF AT LEAST TWO ITEMS HAVE BEEN SELECTED*/
if "`details'"!="" {
di
di in yellow "Scale: $scale"
di "{hline 10}"
}
loevH $`scaleencours',`pairwise' `adjust'
matrix `loevHjk'=r(loevHjk)
matrix `loevHj'=r(loevHj)
scalar `loevH'=r(loevH)
return scalar H`dimension'=`loevH'
return local scale`dimension' $`scaleencours'
return local scalenum`dimension' $`scalenumencours'
local j=`nbitemscale'
di
}
forvalues i=1/`nbitems' {
if `dim'[1,`i']<0 {
matrix `dim'[1,`i']=0
}
}
local restnbitems=0
forvalues j0=1/`nbitems' {
if `dim'[1,`j0']==0 {
local restnbitems=`restnbitems'+1
local restitem ``j0''
}
}
if `restnbitems'==1 { /*IF THERE IS ONLY ONE ITEM REMAINING*/
di
di in green "{p}There is only one item remaining (" in yellow "`restitem'" in green ").{p_end}"
local stopscale=1
return local lastitem "`restitem'"
}
}
return scalar dim=$scale
matrix colnames `dim'=`varlist'
return matrix selection=`dim'
qui use "`mspfile'",clear
end