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1070 lines
39 KiB
Plaintext
1070 lines
39 KiB
Plaintext
8 months ago
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*! Version 8.3 29 August 2019
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*! Jean-Benoit Hardouin
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************************************************************************************************************
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* Stata program : loevh
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* Loevinger H indexes, Mokken Analysis
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*
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*
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* Historic :
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* Version 1 (August 20, 2002) [Jean-Benoit Hardouin]
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* Version 2 (June 22, 2003) [Jean-Benoit Hardouin]
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* Version 3 (December 1, 2003) [Jean-Benoit Hardouin]
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* Version 4 (January 20, 2004) [Jean-Benoit Hardouin]
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* Version 5 (March 22, 2004) [Jean-Benoit Hardouin]
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* Version 6 (July 3, 2004) [Jean-Benoit Hardouin]
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* Version 6.1 (September 19, 2005) [Jean-Benoit Hardouin]
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* Version 6.2 (January 31, 2006) [Jean-Benoit Hardouin]
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* Release 6.3 (March 20, 2006) [Jean-Benoit Hardouin] /*A bug with temporary files */
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* Release 6.4 (January 19, 2007) [Jean-Benoit Hardouin] /*Tests to compare Loevinger coefficients to 0 identical to the MSP software (dichotomous and polytomous case)*/
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* Release 6.5 (January 22, 2007) [Jean-Benoit Hardouin] /*Correction of a bug concerning the p-values with the pair option*/
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* Release 6.6 (Februar 16, 2007) [Jean-Benoit Hardouin] /*Correction of a bug with the displaying of Easyness with polytomous items, option graph, option generror, improvements*/
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* Release 7: June 21, 2007 [Jean-Benoit Hardouin] /*Check of monotonicity and Non intersection via P matrices*/
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* Release 7.1: November 6, 2008 [Jean-Benoit Hardouin] /*Correction for the z-tests for the check of non intersection via P matrices*/
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* Release 7.2: November 19, 2008 [Jean-Benoit Hardouin] /*Implementation of the GPN indexes*/
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* Release 7.3: August 15, 2009 [Jean-Benoit Hardouin] /*Print the difficulties of the items instead of P(X=0)*/
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* Release 8: December 8, 2010 [Jean-Benoit Hardouin] /*loevH is renamed loevh*/
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* Release 8.1: October 19, 2012 [Jean-Benoit Hardouin] /*html option*/
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* Release 8.1.1 : November 20, 2012 [Jean-Benoit Hardouin] /*graphs with the html option*/
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* Release 8.1.2 : December 7, 2012 [Jean-Benoit Hardouin] /*minor correction*/
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* Release 8.1.3 : March 23, 2015 [Jean-Benoit Hardouin] /*minor correction for displaying results*/
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* Release 8.2 : July 13, 2019 [Jean-Benoit Hardouin] /*correction for the displaying and the saving of the graphs, deletion of the html option*/
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* Release 8.3 : August 29, 2019 [Jean-Benoit Hardouin] /*correction of a bug with the graph and generror options*/
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*
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* Jean-benoit Hardouin, phD, Assistant Professor
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* INSERM UMR 1246-SPHERE
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* Nantes University - University of Tours
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* France
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* jean-benoit.hardouin@anaqol.org
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*
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* Requiered Stata modules:
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* -anaoption- (version 1)
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* -traces- (version 3.2)
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* -gengroup- (version 1)
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* -guttmax- (version 1)
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*
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* News about this program :http://www.anaqol.org
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*
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* Copyright 2002-2015, 2019 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 loevh , rclass
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version 8.2
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syntax varlist(min=2 numeric) [if] [,PAIRWise PAIR ppp pmm noADJust GENERror(string) REPlace GRaph MONOtonicity(string) NIRESTscore(string) NIPmatrix(string) HTML(string) filesave dirsave(string) pro]
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preserve
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/***********************************************************************************************************
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TESTS INITIAUX
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***********************************************************************************************************/
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local nbitems : word count `varlist'
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tokenize `varlist'
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tempname corr cov P1 P0 diff P11 P00 H1jk vHjk zHjk chi2Hjk dfHjk pvalHjk H1j vHj zHj pvalHj H1 vH zH pvalH Obs eGuttjk eGuttjk0 loevHjk eGuttj eGuttj0 loevHj eGutt eGutt0 loevH e1 e2
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tempfile loevHfile
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qui save "`loevHfile'"
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if "`if'"!="" {
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qui keep `if'
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}
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if "`adjust'"!="" {
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local adj=0
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}
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else {
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local adj=1
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}
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if "`filesave'"!=""&"`dirsave'"=="" {
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local dirsave `c(pwd)'
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}
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qui count
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local nbobs=r(N)
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forvalues j=1/`nbitems' {
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if "`pairwise'"=="" {
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qui drop if ``j''==.
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}
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}
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qui count
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local nbtotindnm=r(N)
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matrix define `eGuttjk'=J(`nbitems',`nbitems',0)
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matrix define `eGuttjk0'=J(`nbitems',`nbitems',0)
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matrix define `loevHjk'=J(`nbitems',`nbitems',0)
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matrix define `eGuttj'=J(1,`nbitems',0)
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matrix define `eGuttj0'=J(1,`nbitems',0)
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matrix define `loevHj'=J(1,`nbitems',0)
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scalar define `eGutt'=0
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scalar define `eGutt0'=0
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scalar define `loevH'=0
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matrix define `Obs'=J(`nbitems',`nbitems',0)
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matrix define `P00'=J(`nbitems',`nbitems',0)
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tempname modamax
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scalar `modamax'=0
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local scoremax=0
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forvalues j=1/`nbitems' {
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qui su ``j''
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local m`j'=r(max)
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local scoremax=`scoremax'+`m`j''
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if r(max)>`modamax' {
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scalar `modamax'=r(max)
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}
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local nbHjkNS`j'=0
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}
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/*if "`graph'"!=""&`scoremax'>19 {
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di in ye "The {cmd:graph} option is disabled because of a large number of possible scores (>20)"
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local graph
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}*/
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matrix define `cov'=J(`nbitems',`nbitems',0)
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matrix define `corr'=J(`nbitems',`nbitems',0)
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matrix define `P11'=J(`nbitems',`nbitems',0)
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matrix define `H1jk'=J(`nbitems',`nbitems',0)
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matrix define `vHjk'=J(`nbitems',`nbitems',0)
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matrix define `zHjk'=J(`nbitems',`nbitems',0)
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matrix define `pvalHjk'=J(`nbitems',`nbitems',0)
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matrix define `P1'=J(1,`nbitems',0)
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matrix define `P0'=J(1,`nbitems',0)
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matrix define `diff'=J(1,`nbitems',0)
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matrix define `H1j'=J(1,`nbitems',0)
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matrix define `vHj'=J(1,`nbitems',0)
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matrix define `zHj'=J(1,`nbitems',0)
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matrix define `pvalHj'=J(1,`nbitems',0)
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/***********************************************************************************************************
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CALCUL DES ERREURS DE GUTTMAN ET COEFFICIENTS DE LOEVINGER
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***********************************************************************************************************/
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forvalues j=1/`nbitems' {
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qui su ``j''
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matrix `cov'[`j',`j']=r(Var)
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matrix `corr'[`j',`j']=1
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local tmp=`j'+1
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qui count if ``j''!=.
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matrix `Obs'[`j',`j']=r(N)
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forvalues k=`tmp'/`nbitems' {
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qui count if ``j''!=.&``k''!=.
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matrix `Obs'[`j',`k']=r(N)
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matrix `Obs'[`k',`j']=r(N)
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qui corr ``j'' ``k'',cov
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matrix `cov'[`j',`k']=r(cov_12)
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matrix `cov'[`k',`j']=r(cov_12)
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qui corr ``j'' ``k''
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matrix `corr'[`j',`k']=r(rho)
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matrix `corr'[`k',`j']=r(rho)
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matrix `zHjk'[`j',`k']=`corr'[`j',`k']*(`Obs'[`j',`k']-`adj')^.5
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matrix `zHjk'[`k',`j']=`H1jk'[`j',`k']
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matrix `pvalHjk'[`j',`k']=1-norm(`zHjk'[`j',`k'])
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matrix `pvalHjk'[`k',`j']=`pvalHjk'[`j',`k']
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if `pvalHjk'[`j',`k']>0.05 {
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local nbHjkNS`j'=`nbHjkNS`j''+1
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local nbHjkNS`k'=`nbHjkNS`k''+1
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}
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forvalues mod1=1/`m`j'' {
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forvalues mod2=1/`m`k'' {
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qui count if ``j''<`mod1'&``k''>=`mod2'&``j''!=.&``k''!=.
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scalar `e1'=r(N)
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qui count if ``j''>=`mod1'&``k''<`mod2'&``j''!=.&``k''!=.
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scalar `e2'=r(N)
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matrix `eGuttjk'[`j',`k']=`eGuttjk'[`j',`k']+min(`e1',`e2')
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qui count if ``j''<`mod1'&``j''!=.&``k''!=.
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local t1=r(N)
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qui count if ``k''<`mod2'&``j''!=.&``k''!=.
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local t2=r(N)
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qui count if ``j''>=`mod1'&``j''!=.&``k''!=.
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local t3=r(N)
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qui count if ``k''>=`mod2'&``j''!=.&``k''!=.
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local t4=r(N)
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if min(`e1',`e2')==`e1' {
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matrix `eGuttjk0'[`j',`k']=`eGuttjk0'[`j',`k']+`t1'*`t4'/`Obs'[`j',`k']
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}
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else {
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matrix `eGuttjk0'[`j',`k']=`eGuttjk0'[`j',`k']+`t2'*`t3'/`Obs'[`j',`k']
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}
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}
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}
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qui count if ``j''==0&``k''==0
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matrix `P00'[`j',`k']=r(N)/`Obs'[`j',`k']
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matrix `P00'[`k',`j']=r(N)/`Obs'[`k',`j']
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if `modamax'==1 {
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qui count if ``j''==1&``k''==1
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matrix `P11'[`j',`k']=r(N)/`Obs'[`j',`k']
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matrix `P11'[`k',`j']=r(N)/`Obs'[`k',`j']
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}
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matrix `eGuttjk'[`k',`j']=`eGuttjk'[`j',`k']
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matrix `eGuttj'[1,`j']=`eGuttj'[1,`j']+`eGuttjk'[`j',`k']
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matrix `eGuttj'[1,`k']=`eGuttj'[1,`k']+`eGuttjk'[`j',`k']
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matrix `eGuttjk0'[`k',`j']=`eGuttjk0'[`j',`k']
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matrix `eGuttj0'[1,`j']=`eGuttj0'[1,`j']+`eGuttjk0'[`j',`k']
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matrix `eGuttj0'[1,`k']=`eGuttj0'[1,`k']+`eGuttjk0'[`j',`k']
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matrix `loevHjk'[`j',`k']=1-`eGuttjk'[`j',`k']/`eGuttjk0'[`j',`k']
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matrix `loevHjk'[`k',`j']=`loevHjk'[`j',`k']
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}
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qui count if ``j''!=.
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local tmp=r(N)
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qui count if ``j''==1
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matrix `P1'[1,`j']=r(N)/`tmp'
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qui count if ``j''==0
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matrix `P0'[1,`j']=r(N)/`tmp'
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qui su ``j''
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matrix `diff'[1,`j']=r(mean)
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matrix `loevHj'[1,`j']=1-`eGuttj'[1,`j']/`eGuttj0'[1,`j']
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scalar `eGutt'=`eGutt'+`eGuttj'[1,`j']/2
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scalar `eGutt0'=`eGutt0'+`eGuttj0'[1,`j']/2
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}
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scalar `H1'=0
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scalar `vH'=0
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scalar `zH'=0
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forvalues j=1/`nbitems'{
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forvalues k=1/`nbitems' {
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if `j'!=`k' {
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matrix `zHj'[1,`j']=`zHj'[1,`j']+`cov'[`j',`k']
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matrix `vHj'[1,`j']=`vHj'[1,`j']+`cov'[`j',`j']*`cov'[`k',`k']/(`Obs'[`j',`k']-`adj')
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}
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if `j'<`k' {
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scalar `zH'=`zH'+`cov'[`j',`k']
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scalar `vH'=`vH'+`cov'[`j',`j']*`cov'[`k',`k']/(`Obs'[`j',`k']-`adj')
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}
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}
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matrix `zHj'[1,`j']=`zHj'[1,`j']/sqrt(`vHj'[1,`j'])
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matrix `pvalHj'[1,`j']=1-norm(`zHj'[1,`j'])
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}
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scalar `zH'=`zH'/sqrt(`vH')
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scalar `pvalH'=1-norm(`zH')
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scalar `loevH'=1-`eGutt'/`eGutt0'
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local loevH=1-`eGutt'/`eGutt0'
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if `modamax'==1 {
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local text="Easyness"
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local value=1
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local col=23
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}
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else {
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local text="Difficulty"
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local value=0
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local col=21
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}
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/***********************************************************************************************************
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AFFICHAGE DES PREMIERS RESULTATS
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***********************************************************************************************************/
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di in green _col(35) "Observed" _col(47) "Expected" _col(93) "Number"
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di in green _col(27) "Mean" _col(36) "Guttman" _col(48) "Guttman" _col(59) "Loevinger" _col(83) "H0: Hj<=0" _col(94) "of NS"
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di in green "Item" _col(15) "Obs" _col(26) "Score" _col(37) "errors" _col(49) "errors" _col(61) "H coeff" _col(73) "z-stat." _col(85) "p-value" _col(96) "Hjk"
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di in green "{hline 99}"
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forvalues j=1/`nbitems' {
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di in green "``j''" in yellow _col(15) `Obs'[`j',`j'] _col(25) %6.4f `diff'[1,`j'] _col(36) %7.0f `eGuttj'[1,`j'] _col(45) %10.2f `eGuttj0'[1,`j'] _col(61) %7.5f `loevHj'[1,`j'] _col(72) %8.4f `zHj'[1,`j'] _col(85) %7.5f `pvalHj'[1,`j'] _col(97) %2.0f `nbHjkNS`j''
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}
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di in green "{hline 99}"
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if "`pairwise'"=="" {
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local nb=`nbtotindnm'
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}
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else {
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local nb=`nbobs'
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}
|
||
|
|
di in green "Scale" in yellow _col(15) `nb' _col(36) %7.0f `eGutt' _col(45) %10.2f `eGutt0' _col(61) %-8.5f `loevH' _col(71) %9.4f `zH' _col(85) %7.5f `pvalH'
|
||
|
|
|
||
|
|
if "`pair'"!="" {
|
||
|
|
di
|
||
|
|
di in green _col(45) "Observed" _col(57) "Expected"
|
||
|
|
di in green _col(`=`col'+10') "`text'" _col(46) "Guttman" _col(58) "Guttman" _col(69) "Loevinger" _col(92) "H0: Hjk<=0"
|
||
|
|
di in green "Items" _col(25) "Obs" _col(29) "P(Xj=`value',Xk=`value')" _col(47) "errors" _col(59) "errors" _col(71) "H coeff" _col(83) "z-stat." _col(95) "p-value"
|
||
|
|
di in green "{hline 101}"
|
||
|
|
forvalues j=1/`nbitems' {
|
||
|
|
forvalues k=`=`j'+1'/`nbitems' {
|
||
|
|
qui count if ``j''!=.
|
||
|
|
local obs=r(N)
|
||
|
|
di in green "``j''" _col(10) "``k''" in yellow _col(25) `Obs'[`j',`k'] _col(35) %6.4f `P`value'`value''[`j',`k'] _col(48) %5.0f `eGuttjk'[`j',`k'] _col(57) %8.2f `eGuttjk0'[`j',`k'] _col(70) %8.5f `loevHjk'[`j',`k'] _col(81) %9.4f `zHjk'[`j',`k'] _col(95) %7.5f `pvalHjk'[`j',`k']
|
||
|
|
}
|
||
|
|
}
|
||
|
|
di in green "{hline 101}"
|
||
|
|
}
|
||
|
|
|
||
|
|
|
||
|
|
tempname P11g P00g item id id2 p1 monlabel
|
||
|
|
|
||
|
|
/***********************************************************************************************************
|
||
|
|
MONOTONICITY
|
||
|
|
***********************************************************************************************************/
|
||
|
|
|
||
|
|
|
||
|
|
if "`monotonicity'"!="" {
|
||
|
|
if "`monotonicity'"=="*" {
|
||
|
|
anaoption
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
anaoption,`monotonicity'
|
||
|
|
}
|
||
|
|
local minvi=r(minvi)
|
||
|
|
local siglevel=r(siglevel)
|
||
|
|
local minsize=r(minsize)
|
||
|
|
local details `r(details)'
|
||
|
|
if `minsize'==0 {
|
||
|
|
if `nbobs'>500 {
|
||
|
|
local minsize=round(`nbobs'/10)
|
||
|
|
}
|
||
|
|
else if `nbobs'>250 {
|
||
|
|
local minsize=round(`nbobs'/5)
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
local minsize=max(50,round(`nbobs'/3))
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
tempname score
|
||
|
|
qui genscore `varlist',score(`score')
|
||
|
|
di
|
||
|
|
di in green _col(10) "Summary per item for check of monotonicity"
|
||
|
|
di in green _col(10) "Minvi=" in ye %5.3f `minvi' _col(25) in green "Minsize=" in ye %5.0f `minsize' _col(40) in green "Alpha=" in ye %5.3f `siglevel'
|
||
|
|
di
|
||
|
|
di in green "Items" _col(20) "#ac" _col(28) "#vi" _col(32) "#vi/#ac" _col(44) "maxvi" _col(56) "sum" _col(62) "sum/#ac" _col(75) "zmax" _col(84) "#zsig" _col(93) "Crit"
|
||
|
|
di in green "{hline 97}"
|
||
|
|
local vi=0
|
||
|
|
local ac=0
|
||
|
|
local sumvi=0
|
||
|
|
local maxvi=0
|
||
|
|
local zmaxvi=0
|
||
|
|
local nbzvi=0
|
||
|
|
forvalues i=1/`nbitems' {
|
||
|
|
tempname restscore`i'
|
||
|
|
qui gen `restscore`i''=`score'-``i''
|
||
|
|
local restscoremax`i'=`scoremax'-`m`i''
|
||
|
|
tempname restgroup`i'
|
||
|
|
qui gengroup `restscore`i'',newvariable(`restgroup`i'') minsize(`minsize')
|
||
|
|
local list`i'=r(list)
|
||
|
|
qui su `restgroup`i''
|
||
|
|
local nbgroups`i'=r(max)
|
||
|
|
forvalues j=0/`nbgroups`i'' {
|
||
|
|
qui count if `restgroup`i''==`j'
|
||
|
|
local rgroup`j'=r(N)
|
||
|
|
}
|
||
|
|
local vi`i'=0
|
||
|
|
local ac`i'=0
|
||
|
|
local sumvi`i'=0
|
||
|
|
local maxvi`i'=0
|
||
|
|
local zmaxvi`i'=0
|
||
|
|
local nbzvi`i'=0
|
||
|
|
forvalues l=1/`m`i'' {
|
||
|
|
local vi`i'_m`l'=0
|
||
|
|
local ac`i'_m`l'=0
|
||
|
|
local sumvi`i'_m`l'=0
|
||
|
|
local maxvi`i'_m`l'=0
|
||
|
|
local zmaxvi`i'_m`l'=0
|
||
|
|
local nbzvi`i'_m`l'=0
|
||
|
|
}
|
||
|
|
forvalues l=1/`m`i'' {
|
||
|
|
local vi`i'_`l'=0
|
||
|
|
local ac`i'_`l'=0
|
||
|
|
local sumvi`i'_`l'=0
|
||
|
|
local maxvi`i'_`l'=0
|
||
|
|
local zmaxvi`i'_`l'=0
|
||
|
|
local nbzvi`i'_`l'=0
|
||
|
|
forvalues j=1/`nbgroups`i'' {
|
||
|
|
qui count if `restgroup`i''==`j'&``i''>=`l'
|
||
|
|
local nbitem`i'rgroup`j'_`l'=r(N)
|
||
|
|
forvalues k=1/`=`j'-1' {
|
||
|
|
local diff=`nbitem`i'rgroup`k'_`l''/`rgroup`k''-`nbitem`i'rgroup`j'_`l''/`rgroup`j''
|
||
|
|
if `nbitem`i'rgroup`j'_`l''!=`rgroup`j''&`nbitem`i'rgroup`k'_`l''!=0 {
|
||
|
|
local ac`i'_`l'=`ac`i'_`l''+1
|
||
|
|
if `diff'>`minvi' {
|
||
|
|
local vi`i'_`l'=`vi`i'_`l''+1
|
||
|
|
local sumvi`i'_`l'=`sumvi`i'_`l''+`diff'
|
||
|
|
if `diff'>`maxvi`i'_`l'' {
|
||
|
|
local maxvi`i'_`l'=`nbitem`i'rgroup`k'_`l''/`rgroup`k''-`nbitem`i'rgroup`j'_`l''/`rgroup`j''
|
||
|
|
}
|
||
|
|
local p=(`nbitem`i'rgroup`k'_`l''+`nbitem`i'rgroup`j'_`l'')/(`rgroup`j''+`rgroup`k'')
|
||
|
|
local z=abs(2*(sqrt(`nbitem`i'rgroup`j'_`l''+1)*sqrt(`rgroup`k''-`nbitem`i'rgroup`k'_`l''+1)-sqrt((`rgroup`j''-`nbitem`i'rgroup`j'_`l'')*`nbitem`i'rgroup`k'_`l''))/sqrt(`rgroup`j''+`rgroup`k''-1))
|
||
|
|
if `z'>`=invnorm(1-`siglevel')' {
|
||
|
|
local nbzvi`i'_`l'=`nbzvi`i'_`l''+1
|
||
|
|
}
|
||
|
|
if `z'>`zmaxvi`i'_`l'' {
|
||
|
|
local zmaxvi`i'_`l'=`z'
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
if `j'==`nbgroups`i'' {
|
||
|
|
local vi`i'_m`l'=`vi`i'_`l''
|
||
|
|
local ac`i'_m`l'=`ac`i'_`l''
|
||
|
|
local sumvi`i'_m`l'=`sumvi`i'_`l''
|
||
|
|
local maxvi`i'_m`l'=`maxvi`i'_`l''
|
||
|
|
local zmaxvi`i'_m`l'=`zmaxvi`i'_`l''
|
||
|
|
local nbzvi`i'_m`l'=`nbzvi`i'_`l''
|
||
|
|
}
|
||
|
|
}
|
||
|
|
local vi`i'=`vi`i''+`vi`i'_`l''
|
||
|
|
local ac`i'=`ac`i''+`ac`i'_`l''
|
||
|
|
local sumvi`i'=`sumvi`i''+`sumvi`i'_`l''
|
||
|
|
local nbzvi`i'=`nbzvi`i''+`nbzvi`i'_`l''
|
||
|
|
if `maxvi`i''<`maxvi`i'_`l'' {
|
||
|
|
local maxvi`i'=`maxvi`i'_`l''
|
||
|
|
}
|
||
|
|
if `zmaxvi`i''<`zmaxvi`i'_`l'' {
|
||
|
|
local zmaxvi`i'=`zmaxvi`i'_`l''
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
if "`details'"!=""&`m`i''!=1 {
|
||
|
|
forvalues l=1/`m`i'' {
|
||
|
|
if `vi`i'_m`l''!=0 {
|
||
|
|
di in green "``i''>=`l'" in yellow _col(15) %8.0f `ac`i'_m`l'' _col(23) %8.0f `vi`i'_m`l'' _col(33) %6.4f `=`vi`i'_m`l''/`ac`i'_m`l''' _col(43) %6.4f `maxvi`i'_m`l'' _col(53) %6.4f `sumvi`i'_m`l'' _col(63) %6.4f `=`sumvi`i'_m`l''/`ac`i'_m`l''' _col(73) %6.4f `zmaxvi`i'_m`l'' _col(81) %8.0f `nbzvi`i'_m`l''
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
di in green "``i''>=`l'" in yellow _col(15) %8.0f `ac`i'_m`l'' _col(23) %8.0f `vi`i'_m`l''
|
||
|
|
}
|
||
|
|
}
|
||
|
|
di in green "{dup 97:-}"
|
||
|
|
}
|
||
|
|
local vi=`vi'+`vi`i''
|
||
|
|
local ac=`ac'+`ac`i''
|
||
|
|
local sumvi=`sumvi'+`sumvi`i''
|
||
|
|
local nbzvi=`nbzvi'+`nbzvi`i''
|
||
|
|
if `maxvi'<`maxvi`i'' {
|
||
|
|
local maxvi=`maxvi`i''
|
||
|
|
}
|
||
|
|
if `zmaxvi'<`zmaxvi`i'' {
|
||
|
|
local zmaxvi=`zmaxvi`i''
|
||
|
|
}
|
||
|
|
local t=`loevHj'[1,`i']
|
||
|
|
local crit`i'=50*(.3-`t')+sqrt(`vi`i'')+100*`vi`i''/`ac`i''+100*`maxvi`i''+10*sqrt(`sumvi`i'')+1000*`sumvi`i''/`ac`i''+5*`zmaxvi`i''+10*sqrt(`nbzvi`i'')+100*`nbzvi`i''/`ac`i''
|
||
|
|
*set trace on
|
||
|
|
if `vi`i''!=0 {
|
||
|
|
if "`pro'"=="" {
|
||
|
|
local graph1 "{stata traces `varlist',rest nodrawcomb cumulative onlyone(``i'') thres(`list`i''):graph}"
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
local graph1
|
||
|
|
}
|
||
|
|
di in green "``i''" in yellow _col(15) %8.0f `ac`i'' _col(23) %8.0f `vi`i'' _col(33) %6.4f `=`vi`i''/`ac`i''' _col(43) %6.4f `maxvi`i'' _col(53) %6.4f `sumvi`i'' _col(63) %6.4f `=`sumvi`i''/`ac`i''' _col(73) %6.4f `zmaxvi`i'' _col(81) %8.0f `nbzvi`i'' _col(93) %4.0f `crit`i'' _col(99) "`graph1'"
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
if "`pro'"=="" {
|
||
|
|
local graph1 "{stata traces `varlist',rest nodrawcomb cumulative onlyone(``i'') thres(`list`i''):graph}"
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
local graph1
|
||
|
|
}
|
||
|
|
di in green "``i''" in yellow _col(15) %8.0f `ac`i'' _col(23) %8.0f `vi`i'' _col(93) %4.0f `crit`i'' _col(99) "`graph1'"
|
||
|
|
}
|
||
|
|
if "`details'"!=""&`i'!=`nbitems' {
|
||
|
|
di in green "{dup 97:-}"
|
||
|
|
}
|
||
|
|
if "`pro'"!=""&"`filesave'"!="" {
|
||
|
|
qui traces `varlist',rest nodrawcomb cumulative onlyone(``i'') thres(`list`i'') filesave dirsave(`dirsave')
|
||
|
|
}
|
||
|
|
local ac=`ac'+`ac`i''
|
||
|
|
local vi=`vi'+`vi`i''
|
||
|
|
}
|
||
|
|
di in green "{hline 97}"
|
||
|
|
di in green "Total" in yellow _col(15) %8.0f `ac' _col(23) %8.0f `vi' _col(33) %6.4f `=`vi'/`ac'' _col(43) %6.4f `maxvi' _col(53) %6.4f `sumvi' _col(63) %6.4f `=`sumvi'/`ac'' _col(73) %6.4f `zmaxvi' _col(81) %8.0f `nbzvi'
|
||
|
|
di in green "{hline 97}"
|
||
|
|
}
|
||
|
|
|
||
|
|
|
||
|
|
/***********************************************************************************************************
|
||
|
|
PPP et PMM MATRICES
|
||
|
|
***********************************************************************************************************/
|
||
|
|
|
||
|
|
|
||
|
|
if "`ppp'"!=""|"pmm"!=""|"`nipmatrix'"!=""|"`generror'"!="" {
|
||
|
|
local list
|
||
|
|
local listi
|
||
|
|
local listm
|
||
|
|
local listv
|
||
|
|
forvalues i=1/`nbitems' {
|
||
|
|
forvalues l=1/`m`i'' {
|
||
|
|
tempname item`i'_`l'
|
||
|
|
qui gen `item`i'_`l''=``i''>=`l' if ``i''!=.
|
||
|
|
local list `list' ``i''_`l'
|
||
|
|
local listi `listi' ``i''
|
||
|
|
local listm `listm' `l'
|
||
|
|
local listv `listv' `item`i'_`l''
|
||
|
|
}
|
||
|
|
}
|
||
|
|
tempname matppp matpmm
|
||
|
|
matrix `matppp'=J(`=`scoremax'',`=`scoremax'+2',0)
|
||
|
|
matrix `matpmm'=J(`=`scoremax'',`=`scoremax'+2',0)
|
||
|
|
local row=1
|
||
|
|
forvalues i=1/`nbitems' {
|
||
|
|
forvalues k=1/`m`i'' {
|
||
|
|
local col=1
|
||
|
|
forvalues j=1/`nbitems' {
|
||
|
|
forvalues l=1/`m`j'' {
|
||
|
|
if `i'!=`j' {
|
||
|
|
qui count if `item`i'_`k''!=.&`item`j'_`l''!=.
|
||
|
|
local denom=r(N)
|
||
|
|
qui count if `item`i'_`k''==1&`item`j'_`l''==1
|
||
|
|
local pos=r(N)
|
||
|
|
matrix `matppp'[`row',`col']=`=`pos'/`denom''
|
||
|
|
qui count if `item`i'_`k''==0&`item`j'_`l''==0
|
||
|
|
local pos=r(N)
|
||
|
|
matrix `matpmm'[`row',`col']=`=`pos'/`denom''
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
matrix `matppp'[`row',`col']=-1
|
||
|
|
matrix `matpmm'[`row',`col']=-1
|
||
|
|
}
|
||
|
|
local col=`col'+1
|
||
|
|
}
|
||
|
|
}
|
||
|
|
qui count if `item`i'_`k''!=.
|
||
|
|
local denom=r(N)
|
||
|
|
qui count if `item`i'_`k''==1
|
||
|
|
local pos=r(N)
|
||
|
|
matrix `matppp'[`row',`col']=`=`pos'/`denom''
|
||
|
|
qui count if `item`i'_`k''==0
|
||
|
|
local pos=r(N)
|
||
|
|
matrix `matpmm'[`row',`col']=`=`pos'/`denom''
|
||
|
|
matrix `matppp'[`row',`=`scoremax'+2']=`i'
|
||
|
|
matrix `matpmm'[`row',`=`scoremax'+2']=`i'
|
||
|
|
local row=`row'+1
|
||
|
|
}
|
||
|
|
}
|
||
|
|
matrix colnames `matppp'=`list' p1 item
|
||
|
|
matrix rownames `matppp'=`list'
|
||
|
|
matrix colnames `matpmm'=`list' p1 item
|
||
|
|
matrix rownames `matpmm'=`list'
|
||
|
|
if "`nipmatrix'"!="" {
|
||
|
|
if "`nipmatrix'"=="*" {
|
||
|
|
anaoption
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
anaoption,`nipmatrix'
|
||
|
|
}
|
||
|
|
local minvi=`r(minvi)'
|
||
|
|
local siglevel=`r(siglevel)'
|
||
|
|
local minsize=`r(minsize)'
|
||
|
|
local details `r(details)'
|
||
|
|
if `minsize'==0 {
|
||
|
|
if `nbobs'>500 {
|
||
|
|
local minsize=round(`nbobs'/10)
|
||
|
|
}
|
||
|
|
else if `nbobs'>250 {
|
||
|
|
local minsize=round(`nbobs'/5)
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
local minsize=max(50,round(`nbobs'/3))
|
||
|
|
}
|
||
|
|
}
|
||
|
|
forvalues i=1/`nbitems' {
|
||
|
|
local nbacpp`i'=0
|
||
|
|
local nbvipp`i'=0
|
||
|
|
local maxvipp`i'=0
|
||
|
|
local sumvipp`i'=0
|
||
|
|
local zmaxpp`i'=0
|
||
|
|
local nbsigzpp`i'=0
|
||
|
|
local nbacmm`i'=0
|
||
|
|
local nbvimm`i'=0
|
||
|
|
local maxvimm`i'=0
|
||
|
|
local sumvimm`i'=0
|
||
|
|
local zmaxmm`i'=0
|
||
|
|
local nbsigzmm`i'=0
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
}
|
||
|
|
tempfile temporaryfile
|
||
|
|
qui save `temporaryfile'
|
||
|
|
|
||
|
|
if "`ppp'"!=""|"`nipmatrix'"!=""|"`generror'"!="" {
|
||
|
|
drop *
|
||
|
|
qui svmat `matppp',names(col)
|
||
|
|
qui recode `list' (-1=.)
|
||
|
|
qui gen `id'=_n
|
||
|
|
qui gen str9 `item'=""
|
||
|
|
local connect "l"
|
||
|
|
local list2
|
||
|
|
local listw2
|
||
|
|
sort p1
|
||
|
|
qui set obs `=`scoremax'+1'
|
||
|
|
local listitem
|
||
|
|
forvalues i=1/`scoremax' {
|
||
|
|
local t=item[`i']
|
||
|
|
local listitem `listitem' `t'
|
||
|
|
local w:word `i' of `list'
|
||
|
|
qui replace `item'="`w'" if `id'==`i'
|
||
|
|
qui replace `w'=. if `id'==`i'
|
||
|
|
local connect "`connect' l"
|
||
|
|
local z=regexr("`w'","_",">=")
|
||
|
|
label define `monlabel' `i' "`z'", add
|
||
|
|
label variable `w' "`z'"
|
||
|
|
qui su p1 if `id'==`i'
|
||
|
|
local prop=r(mean)
|
||
|
|
qui replace `w'=`prop' in `=`scoremax'+1'
|
||
|
|
}
|
||
|
|
forvalues i=1/`scoremax' {
|
||
|
|
local v=`item'[`i']
|
||
|
|
local list2 `list2' `v'
|
||
|
|
local v=`id'[`i']
|
||
|
|
local listw2 `listw2' `v'
|
||
|
|
}
|
||
|
|
label define `monlabel' `=`scoremax'+1' "Prop",add
|
||
|
|
order `list2'
|
||
|
|
qui gen `id2'=_n
|
||
|
|
label value `id2' `monlabel'
|
||
|
|
label variable `id2' " "
|
||
|
|
|
||
|
|
if "`graph'"!="" {
|
||
|
|
if "`filesave'"=="" {
|
||
|
|
qui local saving
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
qui local saving saving(`dirsave'//ppp,replace)
|
||
|
|
}
|
||
|
|
if `scoremax'<20&"`ppp'"!="" {
|
||
|
|
qui twoway conn `list' `id2' in 1/`scoremax',`htmlregion' connect(`connect') ytitle("") title("P++ diagnostics") name(ppp,replace) `saving'
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
format `list' %5.3f
|
||
|
|
label variable `id' "Item"
|
||
|
|
rename `id' Item
|
||
|
|
label value Item `monlabel'
|
||
|
|
qui replace Item=`=`scoremax'+1' in `=`scoremax'+1'
|
||
|
|
tempname matpp
|
||
|
|
matrix define `matpp'=J(`scoremax',`scoremax',0)
|
||
|
|
forvalues i=1/`scoremax' {
|
||
|
|
forvalues j=1/`scoremax' {
|
||
|
|
local ti:word `i' of `listv'
|
||
|
|
local tj:word `j' of `listv'
|
||
|
|
local t:word `j' of `list2'
|
||
|
|
matrix `matpp'[`i',`j']=`t'[`i']
|
||
|
|
}
|
||
|
|
}
|
||
|
|
matrix colnames `matpp'=`list2'
|
||
|
|
matrix rownames `matpp'=`list2'
|
||
|
|
|
||
|
|
if "`ppp'"!="" {
|
||
|
|
di
|
||
|
|
di in green _col(10) "P++ values per items pair (The values should be increasing in each column)"
|
||
|
|
matrix list `matpp',format(%5.3f) nohalf noheader
|
||
|
|
}
|
||
|
|
|
||
|
|
label drop `monlabel'
|
||
|
|
qui use "`temporaryfile'",clear
|
||
|
|
if "`nipmatrix'"!="" {
|
||
|
|
forvalues i=1/`scoremax' {
|
||
|
|
forvalues j=1/`scoremax' {
|
||
|
|
forvalues k=`=`j'+1'/`scoremax' {
|
||
|
|
local ti:word `i' of `listitem'
|
||
|
|
local tj:word `j' of `listitem'
|
||
|
|
local tk:word `k' of `listitem'
|
||
|
|
if `tj'!=`tk'&`tj'!=`ti'&`ti'!=`tk'/*`matmm'[`k',`i']!=.&`matmm'[`j',`i']!=.*/ {
|
||
|
|
local ++nbacpp`ti'
|
||
|
|
*local ++nbacmm`tk'
|
||
|
|
local diff=`matpp'[`j',`i']-`matpp'[`k',`i']
|
||
|
|
if `diff'>`minvi'&`diff'!=. {
|
||
|
|
local ++nbvipp`tj'
|
||
|
|
local ++nbvipp`tk'
|
||
|
|
local sumvipp`tj'=`sumvipp`tj''+`diff'
|
||
|
|
local sumvipp`tk'=`sumvipp`tk''+`diff'
|
||
|
|
if `diff'>`maxvipp`tj'' {
|
||
|
|
local maxvipp`tj'=`diff'
|
||
|
|
}
|
||
|
|
if `diff'>`maxvipp`tk'' {
|
||
|
|
local maxvipp`tk'=`diff'
|
||
|
|
}
|
||
|
|
local wi:word `i' of `listw2'
|
||
|
|
local wj:word `j' of `listw2'
|
||
|
|
local wk:word `k' of `listw2'
|
||
|
|
local li:word `wi' of `listv'
|
||
|
|
local lj:word `wj' of `listv'
|
||
|
|
local lk:word `wk' of `listv'
|
||
|
|
local ii:word `wi' of `list'
|
||
|
|
local ij:word `wj' of `list'
|
||
|
|
local ik:word `wk' of `list'
|
||
|
|
|
||
|
|
qui count if `li'==1&`lj'==1&`lk'==0
|
||
|
|
local a=r(N)
|
||
|
|
qui count if `li'==1&`lj'==0&`lk'==1
|
||
|
|
local b=r(N)
|
||
|
|
local n=`a'+`b'
|
||
|
|
local k=`b'
|
||
|
|
local b=((2*`k'+1-`n')^2-10*`n')/(12*`n')
|
||
|
|
local z=sqrt(2*`k'+2+`b')-sqrt(2*`n'-2*`k'+`b')
|
||
|
|
*di "++ `li', `lj', `lk', `ii', `ij', `ik' : `n', `k', `z'"
|
||
|
|
|
||
|
|
if abs(`z')>`=invnorm(1-`siglevel')'&`z'!=. {
|
||
|
|
local ++nbsigzpp`tj'
|
||
|
|
if abs(`z')>`zmaxpp`tj'' {
|
||
|
|
local zmaxpp`tj'=abs(`z')
|
||
|
|
}
|
||
|
|
local ++nbsigzpp`tk'
|
||
|
|
if abs(`z')>`zmaxpp`tk'' {
|
||
|
|
local zmaxpp`tk'=abs(`z')
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
if "`pmm'"!=""|"`nipmatrix'"!="" {
|
||
|
|
drop _all
|
||
|
|
qui svmat `matpmm',names(col)
|
||
|
|
qui recode `list' (-1=.)
|
||
|
|
qui gen `id'=_n
|
||
|
|
qui gen str9 `item'=""
|
||
|
|
local connect "l"
|
||
|
|
local list2
|
||
|
|
local listw2
|
||
|
|
gsort -p1
|
||
|
|
qui set obs `=`scoremax'+1'
|
||
|
|
forvalues i=1/`scoremax' {
|
||
|
|
local w:word `i' of `list'
|
||
|
|
qui replace `item'="`w'" if `id'==`i'
|
||
|
|
qui replace `w'=. if `id'==`i'
|
||
|
|
local connect "`connect' l"
|
||
|
|
local z=regexr("`w'","_",">=")
|
||
|
|
label define `monlabel' `i' "`z'", add
|
||
|
|
label variable `w' "`z'"
|
||
|
|
qui su p1 if `id'==`i'
|
||
|
|
local prop=r(mean)
|
||
|
|
qui replace `w'=`prop' in `=`scoremax'+1'
|
||
|
|
}
|
||
|
|
forvalues i=1/`scoremax' {
|
||
|
|
local v=`item'[`i']
|
||
|
|
local list2 `list2' `v'
|
||
|
|
local v=`id'[`i']
|
||
|
|
local listw2 `listw2' `v'
|
||
|
|
}
|
||
|
|
label define `monlabel' `=`scoremax'+1' "Prop",add
|
||
|
|
order `list2'
|
||
|
|
qui gen `id2'=_n
|
||
|
|
label value `id2' `monlabel'
|
||
|
|
label variable `id2' " "
|
||
|
|
if "`graph'"!="" {
|
||
|
|
if "`filesave'"=="" {
|
||
|
|
qui local saving
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
qui local saving saving(`dirsave'//pmm,replace)
|
||
|
|
}
|
||
|
|
if `scoremax'<20 {
|
||
|
|
qui twoway conn `list' `id2' in 1/`scoremax',`htmlregion' connect(`connect') ytitle("") title("P-- diagnostics") name(pmm,replace) `saving'
|
||
|
|
}
|
||
|
|
}
|
||
|
|
format `list' %5.3f
|
||
|
|
label variable `id' "Item"
|
||
|
|
rename `id' Item
|
||
|
|
label value Item `monlabel'
|
||
|
|
qui replace Item=`=`scoremax'+1' in `=`scoremax'+1'
|
||
|
|
tempname matmm
|
||
|
|
matrix define `matmm'=J(`scoremax',`scoremax',0)
|
||
|
|
forvalues i=1/`scoremax' {
|
||
|
|
forvalues j=1/`scoremax' {
|
||
|
|
local t:word `j' of `list2'
|
||
|
|
matrix `matmm'[`i',`j']=`t'[`i']
|
||
|
|
}
|
||
|
|
}
|
||
|
|
matrix colnames `matmm'=`list2'
|
||
|
|
matrix rownames `matmm'=`list2'
|
||
|
|
if "`pmm'"!="" {
|
||
|
|
di
|
||
|
|
di in green _col(10) "P-- values per items pair (The values should be decreasing in each column)"
|
||
|
|
matrix list `matmm',format(%5.3f) nohalf noheader
|
||
|
|
}
|
||
|
|
label drop `monlabel'
|
||
|
|
qui use "`temporaryfile'",clear
|
||
|
|
if "`nipmatrix'"!="" {
|
||
|
|
forvalues i=1/`scoremax' {
|
||
|
|
forvalues j=1/`scoremax' {
|
||
|
|
forvalues k=`=`j'+1'/`scoremax' {
|
||
|
|
local ti:word `i' of `listitem'
|
||
|
|
local tj:word `j' of `listitem'
|
||
|
|
local tk:word `k' of `listitem'
|
||
|
|
if `tj'!=`tk'&`tj'!=`ti'&`ti'!=`tk'/*`matmm'[`k',`i']!=.&`matmm'[`j',`i']!=.*/ {
|
||
|
|
local ++nbacmm`ti'
|
||
|
|
*local ++nbacmm`tk'
|
||
|
|
local diff=`matmm'[`k',`i']-`matmm'[`j',`i']
|
||
|
|
if `diff'>`minvi'&`diff'!=. {
|
||
|
|
local ++nbvimm`tj'
|
||
|
|
local ++nbvimm`tk'
|
||
|
|
local sumvimm`tj'=`sumvimm`tj''+`diff'
|
||
|
|
local sumvimm`tk'=`sumvimm`tk''+`diff'
|
||
|
|
if `diff'>`maxvimm`tj'' {
|
||
|
|
local maxvimm`tj'=`diff'
|
||
|
|
}
|
||
|
|
if `diff'>`maxvimm`tk'' {
|
||
|
|
local maxvimm`tk'=`diff'
|
||
|
|
}
|
||
|
|
local wi:word `i' of `listw2'
|
||
|
|
local wj:word `j' of `listw2'
|
||
|
|
local wk:word `k' of `listw2'
|
||
|
|
local li:word `wi' of `listv'
|
||
|
|
local lj:word `wj' of `listv'
|
||
|
|
local lk:word `wk' of `listv'
|
||
|
|
local ii:word `wi' of `list'
|
||
|
|
local ij:word `wj' of `list'
|
||
|
|
local ik:word `wk' of `list'
|
||
|
|
|
||
|
|
qui count if `li'==0&`lj'==1&`lk'==0
|
||
|
|
local a=r(N)
|
||
|
|
qui count if `li'==0&`lj'==0&`lk'==1
|
||
|
|
local b=r(N)
|
||
|
|
local n=`a'+`b'
|
||
|
|
local k=`b'
|
||
|
|
local b=((2*`k'+1-`n')^2-10*`n')/(12*`n')
|
||
|
|
local z=sqrt(2*`k'+2+`b')-sqrt(2*`n'-2*`k'+`b')
|
||
|
|
*di "-- `li', `lj', `lk', `ii', `ij', `ik' : `n', `k', `z'"
|
||
|
|
|
||
|
|
if abs(`z')>`=invnorm(1-`siglevel')'&`z'!=. {
|
||
|
|
local ++nbsigzmm`tj'
|
||
|
|
if abs(`z')>`zmaxmm`tj'' {
|
||
|
|
local zmaxmm`tj'=abs(`z')
|
||
|
|
}
|
||
|
|
local ++nbsigzmm`tk'
|
||
|
|
if abs(`z')>`zmaxmm`tk'' {
|
||
|
|
local zmaxmm`tk'=abs(`z')
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
if `scoremax'>19&("`ppp'"!=""|"`pmm'"!="")&"`graph'"!="" {
|
||
|
|
di
|
||
|
|
di "Due to the total number of possibles scores (`=`scoremax'+1'), the P++ and P-- graphical representations cannot be displayed"
|
||
|
|
}
|
||
|
|
|
||
|
|
/***********************************************************************************************************
|
||
|
|
NIPMATRIX
|
||
|
|
***********************************************************************************************************/
|
||
|
|
|
||
|
|
|
||
|
|
if "`nipmatrix'" !="" {
|
||
|
|
di
|
||
|
|
di in green _col(10) "Summary per item for check of non-Intersection via Pmatrix"
|
||
|
|
di in green _col(10) "Minvi=" in ye %5.3f `minvi' _col(25) /*in green "Minsize=" in ye %5.0f `minsize' _col(40)*/ in green "Alpha=" in ye %5.3f `siglevel'
|
||
|
|
di
|
||
|
|
di in green "Items" _col(20) "#ac" _col(28) "#vi" _col(32) "#vi/#ac" _col(44) "maxvi" _col(56) "sum" _col(62) "sum/#ac" _col(75) "zmax" _col(84) "#zsig" _col(93) "Crit"
|
||
|
|
di in green "{hline 97}"
|
||
|
|
forvalues i=1/`nbitems' {
|
||
|
|
local nbac`i'=`nbacpp`i''+`nbacmm`i''
|
||
|
|
local nbvi`i'=`nbvipp`i''+`nbvimm`i''
|
||
|
|
local maxvi`i'=max(`maxvipp`i'',`maxvimm`i'')
|
||
|
|
local sumvi`i'=`sumvipp`i''+`sumvimm`i''
|
||
|
|
local zmaxvi`i'=max(`zmaxpp`i'',`zmaxmm`i'')
|
||
|
|
|
||
|
|
local nbzsig`i'=`nbsigzpp`i''+`nbsigzmm`i''
|
||
|
|
local zmax`i'=0
|
||
|
|
local t=`loevHj'[1,`i']
|
||
|
|
local crit`i'=50*(.3-`t')+sqrt(`nbvi`i'')+100*`nbvi`i''/`nbac`i''+100*`maxvi`i''+10*sqrt(`sumvi`i'')+1000*`sumvi`i''/`nbac`i''+5*`zmaxvi`i''+10*sqrt(`nbzsig`i'')+100*`nbzsig`i''/`nbac`i''
|
||
|
|
|
||
|
|
if `nbvi`i''!=0 {
|
||
|
|
if "`html'" == "" {
|
||
|
|
di in green "``i''" in yellow _col(15) %8.0f `nbac`i'' _col(23) %8.0f `nbvi`i'' _col(33) %6.4f `=`nbvi`i''/`nbac`i''' _col(43) %6.4f `maxvi`i'' _col(53) %6.4f `sumvi`i'' _col(63) %6.4f `=`sumvi`i''/`nbac`i''' _col(73) %6.4f `zmaxvi`i'' _col(81) %8.0f `nbzsig`i'' _col(93) %4.0f `crit`i''
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
di in green "<tr><th>" "``i''" "</th><td>" %8.0f `nbac`i'' "</td><td>" %8.0f `nbvi`i'' "</td><td>" %6.4f `=`nbvi`i''/`nbac`i''' "</td><td>" %6.4f `maxvi`i'' "</td><td>" %6.4f `sumvi`i'' "</td><td>" %6.4f `=`sumvi`i''/`nbac`i''' "</td><td>" %6.4f `zmaxvi`i'' "</td><td>" %8.0f `nbzsig`i'' "</td><td>" %4.0f `crit`i'' "</td></tr>"
|
||
|
|
}
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
di in green "``i''" in yellow _col(15) %8.0f `nbac`i'' _col(23) %8.0f `nbvi`i'' _col(93) %4.0f `crit`i''
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
|
||
|
|
qui use "`loevHfile'",clear
|
||
|
|
|
||
|
|
|
||
|
|
/***********************************************************************************************************
|
||
|
|
GENERATION DE NOUVELLES VARIABLES
|
||
|
|
***********************************************************************************************************/
|
||
|
|
|
||
|
|
|
||
|
|
if "`generror'"!="" {
|
||
|
|
if "`replace'"!="" {
|
||
|
|
capture drop `generror'_0
|
||
|
|
capture drop `generror'_H
|
||
|
|
capture drop `generror'_max
|
||
|
|
capture drop `generror'_GPN
|
||
|
|
capture drop `generror'
|
||
|
|
}
|
||
|
|
qui gen `generror'=0
|
||
|
|
forvalues i=1/`nbitems' {
|
||
|
|
capture drop `generror'_``i''
|
||
|
|
qui gen `generror'_``i''=0
|
||
|
|
}
|
||
|
|
qui gen `generror'_0=`eGutt0'/`nb'
|
||
|
|
local nbsteps:word count `listitem'
|
||
|
|
if "`pairwise'"=="" {
|
||
|
|
forvalues i=1/`nbitems' {
|
||
|
|
qui replace `generror'=. if ``i''==.
|
||
|
|
qui replace `generror'_0=. if ``i''==.
|
||
|
|
}
|
||
|
|
}
|
||
|
|
forvalues i=0/`nbsteps' {
|
||
|
|
*di "qui guttmax `listitem', score(`i')"
|
||
|
|
qui guttmax `listitem', score(`i')
|
||
|
|
local errmax`i'=r(maxegutt)
|
||
|
|
}
|
||
|
|
forvalues i=1/`nbsteps' {
|
||
|
|
forvalues j=`=`i'+1'/`nbsteps' {
|
||
|
|
local w2i:word `i' of `listw2'
|
||
|
|
local w2j:word `j' of `listw2'
|
||
|
|
local itemi:word `w2i' of `listi'
|
||
|
|
local modai:word `w2i' of `listm'
|
||
|
|
local itemj:word `w2j' of `listi'
|
||
|
|
local modaj:word `w2j' of `listm'
|
||
|
|
qui replace `generror'=`generror'+1 if `itemi'>=`modai'&`itemj'<`modaj'&`itemi'!=.&`itemj'!=.
|
||
|
|
qui replace `generror'_`itemi'=`generror'_`itemi'+1 if `itemi'>=`modai'&`itemj'<`modaj'&`itemi'!=.&`itemj'!=.
|
||
|
|
qui replace `generror'_`itemj'=`generror'_`itemj'+1 if `itemi'>=`modai'&`itemj'<`modaj'&`itemi'!=.&`itemj'!=.
|
||
|
|
}
|
||
|
|
}
|
||
|
|
tempvar flag
|
||
|
|
qui gen `flag'=0
|
||
|
|
qui replace `flag'=1 `if'
|
||
|
|
qui replace `generror'=. if `flag'==0
|
||
|
|
qui replace `generror'_0=. if `flag'==0
|
||
|
|
qui gen `generror'_H=1-`generror'/`generror'_0
|
||
|
|
tempvar score
|
||
|
|
qui genscore `varlist' `if',score(`score')
|
||
|
|
qui gen `generror'_max=.
|
||
|
|
forvalues i=1/`nbsteps' {
|
||
|
|
qui replace `generror'_max=`errmax`i'' if `score'==`i'
|
||
|
|
}
|
||
|
|
qui gen `generror'_GPN=`generror'/`generror'_max
|
||
|
|
label variable `generror' "Number of Guttman errors per individual"
|
||
|
|
label variable `generror'_H "H indice per individual"
|
||
|
|
if "`graph'"!="" {
|
||
|
|
if "`filesave'"=="" {
|
||
|
|
local saving1
|
||
|
|
local saving2
|
||
|
|
local saving3
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
local saving1 saving(`dirsave'//`generror', replace)
|
||
|
|
local saving2 saving(`dirsave'//`generror'_H, replace)
|
||
|
|
local saving3 saving(`dirsave'//`generror'_box, replace)
|
||
|
|
}
|
||
|
|
qui histogram `generror',discrete freq name(errors,replace) `saving1'
|
||
|
|
qui graph box `generror',name(errors_box,replace) `saving3'
|
||
|
|
qui histogram `generror'_H,discrete freq name(H,replace) `saving2'
|
||
|
|
}
|
||
|
|
qui su `generror' ,det
|
||
|
|
local meane=r(mean)
|
||
|
|
local mede=r(p50)
|
||
|
|
local mine=r(min)
|
||
|
|
local maxe=r(max)
|
||
|
|
qui su `generror'_GPN ,det
|
||
|
|
local meanGPN=r(mean)
|
||
|
|
local medGPN=r(p50)
|
||
|
|
local minGPN=r(min)
|
||
|
|
local maxGPN=r(max)
|
||
|
|
di
|
||
|
|
di in green "Number of Guttman errors by individual" _col(50) in green "Normalized number of Guttamn errors by individual"
|
||
|
|
di in green " Mean number: " in ye %7.2f `meane' _col(50) in green " Mean number: " in ye %7.2f `meanGPN'
|
||
|
|
di in green " Median number: " in ye %7.2f `mede' _col(50) in green " Median number: " in ye %7.2f `medGPN'
|
||
|
|
di in green " Minimal number: " in ye %7.2f `mine' _col(50) in green " Minimal number: " in ye %7.2f `minGPN'
|
||
|
|
di in green " Maximal number: " in ye %7.2f `maxe' _col(50) in green " Maximal number: " in ye %7.2f `maxGPN'
|
||
|
|
di in green "Expected Guttman errors: " in ye %7.2f `=`eGutt0'/`nb''
|
||
|
|
qui count if `generror'_H<0
|
||
|
|
di in green " Rate of Hn<0: " in ye %7.2f `=r(N)/`nb'*100' "%"
|
||
|
|
|
||
|
|
}
|
||
|
|
|
||
|
|
matrix colnames `loevHj'=`varlist'
|
||
|
|
matrix rownames `loevHj'=Hj
|
||
|
|
return matrix loevHj `loevHj'
|
||
|
|
|
||
|
|
matrix colnames `loevHjk'=`varlist'
|
||
|
|
matrix rownames `loevHjk'=`varlist'
|
||
|
|
return matrix loevHjk `loevHjk'
|
||
|
|
|
||
|
|
matrix colnames `eGuttj'=`varlist'
|
||
|
|
matrix rownames `eGuttj'=ej
|
||
|
|
return matrix eGuttj `eGuttj'
|
||
|
|
|
||
|
|
matrix colnames `eGuttjk'=`varlist'
|
||
|
|
matrix rownames `eGuttjk'=`varlist'
|
||
|
|
return matrix eGuttjk `eGuttjk'
|
||
|
|
|
||
|
|
matrix colnames `eGuttj0'=`varlist'
|
||
|
|
matrix rownames `eGuttj0'=ejk
|
||
|
|
return matrix eGuttj0 `eGuttj0'
|
||
|
|
|
||
|
|
matrix colnames `eGuttjk0'=`varlist'
|
||
|
|
matrix rownames `eGuttjk0'=`varlist'
|
||
|
|
return matrix eGuttjk0 `eGuttjk0'
|
||
|
|
|
||
|
|
return scalar loevH=`loevH'
|
||
|
|
return scalar eGutt =`eGutt'
|
||
|
|
return scalar eGutt0 =`eGutt0'
|
||
|
|
|
||
|
|
if `modamax'==1 {
|
||
|
|
matrix colnames `P11'=`varlist'
|
||
|
|
matrix rownames `P11'=`varlist'
|
||
|
|
return matrix P11 `P11'
|
||
|
|
}
|
||
|
|
|
||
|
|
matrix colnames `P00'=`varlist'
|
||
|
|
matrix rownames `P00'=`varlist'
|
||
|
|
return matrix P00 `P00'
|
||
|
|
|
||
|
|
if "`ppp'"!=""|"`nipmatrix'"!="" {
|
||
|
|
return matrix ppp=`matpp'
|
||
|
|
}
|
||
|
|
if "`pmm'"!=""|"`nipmatrix'"!="" {
|
||
|
|
return matrix pmm=`matmm'
|
||
|
|
}
|
||
|
|
|
||
|
|
matrix colnames `zHj'=`varlist'
|
||
|
|
matrix rownames `zHj'=zHj
|
||
|
|
return matrix zHj `zHj'
|
||
|
|
|
||
|
|
matrix colnames `pvalHj'=`varlist'
|
||
|
|
matrix rownames `pvalHj'=pval
|
||
|
|
return matrix pvalHj `pvalHj'
|
||
|
|
|
||
|
|
return scalar zH=`zH'
|
||
|
|
return scalar pvalH=`pvalH'
|
||
|
|
if "`pair'"!="" {
|
||
|
|
matrix colnames `zHjk'=`varlist'
|
||
|
|
matrix rownames `zHjk'=`varlist'
|
||
|
|
return matrix zHjk `zHjk'
|
||
|
|
|
||
|
|
matrix colnames `pvalHjk'=`varlist'
|
||
|
|
matrix rownames `pvalHjk'=`varlist'
|
||
|
|
return matrix pvalHjk `pvalHjk'
|
||
|
|
}
|
||
|
|
|
||
|
|
matrix colnames `Obs'=`varlist'
|
||
|
|
matrix rownames `Obs'=`varlist'
|
||
|
|
return matrix Obs `Obs'
|
||
|
|
|
||
|
|
capture restore, not
|
||
|
|
|
||
|
|
end
|
||
|
|
|