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Mplus Users Guide v6.. - Muthén & Muthén

Mplus Users Guide v6.. - Muthén & Muthén

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CHAPTER 3EXAMPLE 3.15: PATH ANALYSIS WITH A COMBINATIONOF CENSORED, CATEGORICAL, AND UNORDEREDCATEGORICAL (NOMINAL) DEPENDENT VARIABLESTITLE: this is an example of a path analysiswith a combination of censored,categorical, and unordered categorical(nominal) dependent variablesDATA: FILE IS ex3.15.dat;VARIABLE: NAMES ARE y1 u1 u2 y4-y6 x1-x4;USEVARIABLES ARE y1-u2 x1-x3;CENSORED IS y1 (a);CATEGORICAL IS u1;NOMINAL IS u2;MODEL: y1 u1 ON x1 x2 x3;u2 ON y1 u1 x2;The difference between this example and Example 3.11 is that thedependent variables are a combination of censored, binary or orderedcategorical (ordinal), and unordered categorical (nominal) variablesinstead of continuous variables. The CENSORED option is used tospecify which dependent variables are treated as censored variables inthe model and its estimation, whether they are censored from above orbelow, and whether a censored or censored-inflated model will beestimated. In the example above, y1 is a censored variable. The a inparentheses following y1 indicates that y1 is censored from above, thatis, has a ceiling effect, and that the model is a censored regressionmodel. The censoring limit is determined from the data. TheCATEGORICAL option is used to specify which dependent variablesare treated as binary or ordered categorical (ordinal) variables in themodel and its estimation. In the example above, u1 is a binary orordered categorical variable. The program determines the number ofcategories. The NOMINAL option is used to specify which dependentvariables are treated as unordered categorical (nominal) variables in themodel and its estimation. In the example above, u2 is a three-categoryunordered variable. The program determines the number of categories.The first ON statement describes the censored regression of y1 and thelogistic regression of u1 on the covariates x1, x2, and x3. The secondON statement describes the multinomial logistic regression of u2 on themediating variables y1 and u1 and the covariate x2 when comparing36

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