You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
223 lines
7.5 KiB
Plaintext
223 lines
7.5 KiB
Plaintext
*! version 2.0.2 08 Sep 2009; part of confa suite
|
|
program confa_estat, rclass
|
|
version 10
|
|
|
|
if "`e(cmd)'" != "confa" {
|
|
error 301
|
|
}
|
|
|
|
gettoken subcmd rest : 0, parse(" ,")
|
|
local lsubcmd= length("`subcmd'")
|
|
|
|
if `"`subcmd'"' == substr("fitindices", 1, max(3, `lsubcmd')) {
|
|
FitIndices `rest'
|
|
}
|
|
else if `"`subcmd'"' == substr("correlate", 1, max(4, `lsubcmd')) {
|
|
Correlate `rest'
|
|
}
|
|
else if `"`subcmd'"' == substr("aic",1, max(3, `lsubcmd')) {
|
|
FitIndices , aic
|
|
}
|
|
else if `"`subcmd'"' == substr("bic",1, max(3, `lsubcmd')) {
|
|
FitIndices , bic
|
|
}
|
|
else if `"`subcmd'"' == substr("ic",1,max(2, `lsubcmd')) {
|
|
FitIndices, aic bic
|
|
}
|
|
else if `"`subcmd'"' == substr("summarize", 1, max(2, `lsubcmd')) {
|
|
Summarize `rest'
|
|
}
|
|
else if `"`subcmd'"' == "vce" {
|
|
vce `rest'
|
|
}
|
|
else {
|
|
di as err "`subcmd' not allowed"
|
|
exit 198
|
|
}
|
|
|
|
return add
|
|
|
|
end
|
|
|
|
program Summarize
|
|
syntax , [noHEAder noWEIghts]
|
|
if "`e(wexp)'" ~= "" & "`weights'"~="noweights" local wgt [iw `e(wexp)']
|
|
sum `e(observed)' `wgt' if e(sample)
|
|
end
|
|
|
|
program Correlate, rclass
|
|
* correlation matrix of estimated factors
|
|
|
|
syntax, [level(passthru) bound]
|
|
|
|
di _n "{txt}Correlation equivalents of covariances"
|
|
|
|
if "`bound'" != "" local bound ci(atanh)
|
|
|
|
local q = rowsof( e(Phi) )
|
|
if `q'>1 {
|
|
* display the factor correlations
|
|
|
|
di as text "{hline 13}{c TT}{hline 64}"
|
|
if "`e(vcetype)'" ~= "" {
|
|
di as text " {c |} {center 15:`e(vcetype)'}"
|
|
}
|
|
di as text " {c |} Coef. Std. Err. z P>|z| [$S_level% Conf. Interval]"
|
|
di as text "{hline 13}{c +}{hline 64}"
|
|
|
|
* parse the factor names
|
|
local fnames : rownames e(Phi)
|
|
* parse the unitvar list to be used in -inlist-
|
|
local unitvarlist = `"""' + subinstr("`e(unitvar)'"," ",`"",""',.) + `"""'
|
|
|
|
_diparm __lab__ , label("Factors") eqlabel
|
|
|
|
forvalues i=1/`q' {
|
|
local i1 = `i'+1
|
|
forvalues j=`i1'/`q' {
|
|
if inlist("`: word `i' of `fnames''", `unitvarlist') & inlist("`: word `j' of `fnames''", `unitvarlist') {
|
|
* both factor variances are constrained at 1, display as is
|
|
_diparm phi_`i'_`j' , prob label("`: word `i' of `fnames''-`: word `j' of `fnames''") `level' `bound'
|
|
}
|
|
else if inlist("`: word `i' of `fnames''", `unitvarlist') & !inlist("`: word `j' of `fnames''", `unitvarlist') {
|
|
* `i' is restricted unit variance, `j' is not
|
|
_diparm phi_`i'_`j' phi_`j'_`j', ///
|
|
function( @1/sqrt(@2) ) d( 1/sqrt(@2) -0.5*@1/sqrt(@2*@2*@2) ) ///
|
|
prob label("`: word `i' of `fnames''-`: word `j' of `fnames''") `level' `bound'
|
|
}
|
|
else if !inlist("`: word `i' of `fnames''", `unitvarlist') & inlist("`: word `j' of `fnames''", `unitvarlist') {
|
|
* `j' is restricted unit variance, `i' is not
|
|
_diparm phi_`i'_`j' phi_`i'_`i', ///
|
|
function( @1/sqrt(@2) ) d( 1/sqrt(@2) -0.5*@1/sqrt(@2*@2*@2) ) ///
|
|
prob label("`: word `i' of `fnames''-`: word `j' of `fnames''") `level' `bound'
|
|
}
|
|
else {
|
|
* display correlation transform
|
|
_diparm phi_`i'_`j' phi_`i'_`i' phi_`j'_`j', ///
|
|
function( @1/sqrt(@2*@3) ) d( 1/sqrt(@2*@3) -0.5*@1/sqrt(@2*@2*@2*@3) -0.5*@1/sqrt(@2*@3*@3*@3) ) ///
|
|
prob label("`: word `i' of `fnames''-`: word `j' of `fnames''") `level' `bound'
|
|
}
|
|
}
|
|
}
|
|
|
|
}
|
|
|
|
|
|
if "`e(correlated)'" ~= "" {
|
|
|
|
if `q' < 2 {
|
|
* need to display the header
|
|
|
|
di as text "{hline 13}{c TT}{hline 64}"
|
|
if "`e(vcetype)'" ~= "" {
|
|
di as text " {c |} {center 15:`e(vcetype)'}"
|
|
}
|
|
di as text " {c |} Coef. Std. Err. z P>|z| [$S_level% Conf. Interval]"
|
|
di as text "{hline 13}{c +}{hline 64}"
|
|
}
|
|
|
|
* print out correlated measurement errors
|
|
_diparm __lab__ , label("Errors") eqlabel
|
|
local correlated `e(correlated)'
|
|
local obsvar `e(observed)'
|
|
while "`correlated'" != "" {
|
|
gettoken corrpair correlated : correlated , match(m)
|
|
gettoken corr1 corrpair : corrpair, parse(":")
|
|
unab corr1 : `corr1'
|
|
gettoken sc corr2 : corrpair, parse(":")
|
|
unab corr2 : `corr2'
|
|
|
|
poslist `obsvar' \ `corr1', global(CFA_temp)
|
|
local k1 = $CFA_temp
|
|
poslist `obsvar' \ `corr2', global(CFA_temp)
|
|
local k2 = $CFA_temp
|
|
|
|
_diparm theta_`k1'_`k2' theta_`k1' theta_`k2', ///
|
|
function( @1/sqrt(@2*@3) ) d( 1/sqrt(@2*@3) -0.5*@1/sqrt(@2*@2*@2*@3) -0.5*@1/sqrt(@2*@3*@3*@3) ) ///
|
|
prob label("`corr1'-`corr2'") `level' `bound'
|
|
|
|
}
|
|
|
|
}
|
|
else if `q'<2 {
|
|
di as text _n "Nothing to display" _n
|
|
}
|
|
|
|
di as text "{hline 13}{c BT}{hline 64}"
|
|
|
|
global CFA_temp
|
|
|
|
end
|
|
|
|
program FitIndices, rclass
|
|
|
|
syntax , [all tli rmsea rmsr aic bic]
|
|
|
|
di _n "{txt} Fit indices" _n
|
|
return add
|
|
|
|
* all, by default
|
|
if "`*'" == "" local all 1
|
|
|
|
* the fundamentals
|
|
local p = `: word count `e(obsvar)''
|
|
|
|
if "`rmsea'`all'"~="" {
|
|
return scalar RMSEA = sqrt( max( (e(lr_u)-e(df_u))/(e(N)-1), 0 )/e(df_u) )
|
|
tempname ll lu
|
|
scalar `ll' = cond(chi2(e(df_u),e(lr_u))>0.95,npnchi2(e(df_u),e(lr_u),0.95),0)
|
|
scalar `lu' = cond(chi2(e(df_u),e(lr_u))>0.05,npnchi2(e(df_u),e(lr_u),0.05),0)
|
|
return scalar RMSEA05 = sqrt( `ll'/( (e(N)-1)*e(df_u) ) )
|
|
return scalar RMSEA95 = sqrt( `lu'/( (e(N)-1)*e(df_u) ) )
|
|
di "{txt}RMSEA {col 8}= {res}" %6.4f return(RMSEA) _c
|
|
di "{txt}, 90% CI{col 8}= ({res}" %6.4f return(RMSEA05) "{txt}, {res}" %6.4f return(RMSEA95) "{txt})"
|
|
}
|
|
|
|
if "`rmsr'`all'"~="" {
|
|
cap mat li e(S)
|
|
if _rc {
|
|
* no matrix posted
|
|
return scalar RMSR = .
|
|
}
|
|
else {
|
|
tempname res
|
|
mata : st_numscalar("`res'",norm(vech(st_matrix("e(Sigma)") - st_matrix("e(S)"))) )
|
|
return scalar RMSR = `res'/sqrt(e(pstar) )
|
|
}
|
|
di "{txt}RMSR {col 8}= {res}" %6.4f return(RMSR)
|
|
}
|
|
|
|
if "`tli'`all'"~="" {
|
|
return scalar TLI = (e(lr_indep)/e(df_indep)-e(lr_u)/e(df_u))/(e(lr_indep)/e(df_indep)-1)
|
|
di "{txt}TLI {col 8}= {res}" %6.4f return(TLI)
|
|
}
|
|
|
|
if "`cfi'`all'"~="" {
|
|
return scalar CFI = 1 - max( e(lr_u)-e(df_u),0 )/max( e(lr_u)-e(df_u), e(lr_indep)-e(df_indep),0 )
|
|
di "{txt}CFI {col 8}= {res}" %6.4f return(CFI)
|
|
}
|
|
|
|
if "`aic'`all'"~="" {
|
|
if "`e(wexp)'" == "" & "`e(vcetype)'"~="Robust" return scalar AIC = -2*e(ll) + 2*e(df_m)
|
|
else return scalar AIC = .
|
|
di "{txt}AIC {col 8}= {res}" %8.3f return(AIC)
|
|
}
|
|
|
|
if "`bic'`all'"~="" {
|
|
if "`e(wexp)'" == "" & "`e(vcetype)'"~="Robust" return scalar BIC = -2*e(ll) + e(df_m)*ln( e(N) )
|
|
else return scalar BIC = .
|
|
di "{txt}BIC {col 8}= {res}" %8.3f return(BIC)
|
|
}
|
|
|
|
end
|
|
|
|
exit
|
|
|
|
Version history:
|
|
1.0.0 9 Jan 2008 -- Correlate
|
|
FitIndices
|
|
1.0.1 12 Sep 2008 -- AIC, BIC
|
|
1.0.2 Oct 2008 -- bound for Correlate CI
|
|
correlated measurement errors
|
|
CI for RMSEA
|