Mplus Users Guide v6.. - Muthén & Muthén

TITLE, DATA, VARIABLE, And DEFINE Commandsin the CONSTRAINT statement. The CONSTRAINT option is notavailable for TYPE=RANDOM, TYPE=TWOLEVEL,TYPE=COMPLEX, and for estimators other than ML, MLR, and MLF.The CONSTRAINT option is specified as follows:CONSTRAINT = y1 u1;where y1 and u1 are variables that can be used in the MODELCONSTRAINT command.PATTERNThe PATTERN option is used when data are missing by design. Thetypical use is in situations when, because of the design of the study, allvariables are not measured on all individuals in the analysis. This canoccur, for example, when individuals receive different forms of ameasurement instrument that contain different sets of items. Followingis an example of how the PATTERN option is specified:PATTERN IS design (1= y1 y3 y5 2= y2 y3 y4 3= y1 y4 y5);where design is a variable in the data set that has integer values of 1, 2,and 3. The variable names listed after each number and the equal signare variables used in the analysis which should have no missing valuesfor observations with that value on the pattern variable. For example,observations with the value of one on the variable design should haveinformation for variables y1, y3, and y5 and have missing values for y2and y4. Observations with the value of three on the variable designshould have information for variables y1, y4, and y5 and have missingvalues for variables y2 and y3. The pattern variable must contain onlyinteger values. Observations that have a value for the pattern variablethat is not specified using the PATTERN option are not included in theanalysis.COMPLEX SURVEY DATAThere are several options that are used for complex survey data. Theseinclude options for stratification, clustering, unequal probabilities ofselection (sampling weights), and subpopulation analysis. The variablesused with these options can be variables from the NAMES statement of499