TITLE:	Model 2

          DATA:     File is CPDLStudentEmpMPLUS.csv;

          VARIABLE: NAMES ID wknd totalhrs interaction
          		 dom_o affil_o dom	affil intPA intNA	
          		 gender age intTotal totalemp;

          MISSING = all (9999);
                      	
          USEOBSERVATIONS ARE interaction == 1 AND intTotal GE 10;
                      		
          USEVAR =  wknd gender age affil_o affil intNA totalemp time_c;
                      		
          CLUSTER = ID;

          WITHIN = wknd time_c;
                      	
          BETWEEN = gender age;

          DEFINE:  time_c = totalhrs - 120;
                      		
          ANALYSIS:TYPE = TWOLEVEL RANDOM;
                   ESTIMATOR = BAYES;
                      		
          MODEL: 
          
          %WITHIN%

          totalemp_affil_o | totalemp ON affil_o;
          affil_affil_o | affil ON affil_o ;
          intNA_affil_o | intNA ON affil_o;
          totalemp_intNA | totalemp ON intNA;
          affil_intNA | affil ON intNA;
          affil_totalemp | affil ON totalemp;		

          affil_o affil intNA totalemp ON wknd time_c;
                      		
          %BETWEEN%
          	
          totalemp_affil_o affil_affil_o intNA_affil_o 
          totalemp_intNA affil_intNA affil_totalemp;

          intNA WITH totalemp;

          affil_o affil ON intNA totalemp;

          affil_o affil intNA totalemp ON gender age;

          OUTPUT: 	TECH1 TECH8 TECH4 SAMPSTAT STDYX CINTERVAL;