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Stata Quick Reference and Index

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postestimation comm<strong>and</strong>s — <strong>Quick</strong> reference for postestimation comm<strong>and</strong>s 43<br />

Comm<strong>and</strong><br />

Description<br />

factor <strong>and</strong> factormat<br />

estat anti<br />

anti-image correlation <strong>and</strong> covariance matrices<br />

estat common<br />

correlation matrix of the common factors<br />

estat factors<br />

AIC <strong>and</strong> BIC model-selection criteria for different numbers of factors<br />

estat kmo<br />

Kaiser–Meyer–Olkin measure of sampling adequacy<br />

estat residuals matrix of correlation residuals<br />

estat rotatecompare compare rotated <strong>and</strong> unrotated loadings<br />

estat smc<br />

squared multiple correlations between each variable <strong>and</strong> the rest<br />

estat structure correlations between variables <strong>and</strong> common factors<br />

† estat summarize estimation sample summary<br />

loadingplot<br />

plot factor loadings<br />

rotate<br />

rotate factor loadings<br />

scoreplot<br />

plot score variables<br />

screeplot<br />

plot eigenvalues<br />

fracpoly<br />

fracplot<br />

fracpred<br />

gmm<br />

estat overid<br />

ivprobit<br />

estat classification<br />

lroc<br />

lsens<br />

ivregress<br />

estat endogenous<br />

estat firststage<br />

estat overid<br />

logistic <strong>and</strong> logit<br />

estat classification<br />

estat gof<br />

lroc<br />

lsens<br />

manova<br />

manovatest<br />

screeplot<br />

plot data <strong>and</strong> fit from most recently fitted fractional polynomial model<br />

create variable containing prediction, deviance residuals, or SEs of<br />

fitted values<br />

perform test of overidentifying restrictions<br />

reports various summary statistics, including<br />

the classification table<br />

graphs the ROC curve <strong>and</strong> calculates the area under the curve<br />

graphs sensitivity <strong>and</strong> specificity versus probability cutoff<br />

perform tests of endogeneity<br />

report “first-stage” regression statistics<br />

perform tests of overidentifying restrictions<br />

reports various summary statistics, including<br />

the classification table<br />

Pearson or Hosmer–Lemeshow goodness-of-fit test<br />

graphs the ROC curve <strong>and</strong> calculates the area under the curve<br />

graphs sensitivity <strong>and</strong> specificity versus probability cutoff<br />

multivariate tests after manova<br />

plot eigenvalues<br />

† estat summarize is not available after factormat.

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