Logistic regressiontitle: Logistic regressiondata:file is hsbdemo.dat;variable:names areid female ses schtyp prog read write math science socst honors awards cid;usevariables are honors female read math;categorical = honors;analysis:estimator = ML;! link = logit;model:honors on female read math;

Ordered probit regressiontitle: Ordered probit regressiondata:file is hsbdemo.dat;variable:names areid female ses schtyp prog read write math science socst honors awards cid;usevariables are ses female read math;categorical = ses;model:ses on female read math;

Ordered logistic regressiontitle: Ordered logistic regressiondata:file is hsbdemo.dat;variable:names areid female ses schtyp prog read write math science socst honors awards cid;usevariables are ses female read math;categorical = ses;analysis:estimator = ML;model:ses on female read math;

Multinomial logistic regressiontitle: Multinomial logistic regressiondata:file is hsbdemo.dat;variable:names areid female ses schtyp prog read write math science socst honors awards cid;usevariables are prog female read math;nominal = prog;analysis:estimator = ML;model:prog on female read math;

Poisson regressiontitle: Poisson regressiondata:file is hsbdemo.dat;variable:names areid female ses schtyp prog read write math science socst honors awards cid;usevariables areawards female read math;count = awards (p);model:awards on female read math;

Negative binomial regressiontitle: Negative binomial regressiondata:file is hsbdemo.dat;variable:names areid female ses schtyp prog read write math science socst honors awards cid;usevariables areawards female read math;count = awards (nb);model:awards on female read math;

Zero-inflated Poisson regressiontitle:Zero-inflated Poisson regressiondata:file is hsbdemo.dat;variable:names areid female ses schtyp prog read write math science socst honors awards cid;usevariables areawards female read math;count = awards (pi);model:awards on female read math;awards#1 on female read math;

Zero-inflated negative binomialregressiontitle: Zero-inflated negative binomial regressiondata:file is hsbdemo.dat;variable:names areid female ses schtyp prog read write math science socst honors awards cid;usevariables areawards female read math;count = awards (nbi);model:awards on female read math;awards#1 on female read math;

Review Questions•When do you use the categorical statement (in the variable commandblock)?•When do you use the usevar statement (in the variable commandblock)?•What key word “tells” Mplus to run a regression model?

Path Analysis•Path analysis is used to estimate a system of equations in which all of thevariables are observed.•Unlike models that include latent variables, path models assume perfectmeasurement of the observed variables; only the structural relationshipsbetween the observed variables are modeled.

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