TITLE:	Model 4

          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 dom_o dom 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_dom_o | totalemp ON dom_o;
          dom_dom_o | dom ON dom_o ;
          intNA_dom_o | intNA ON dom_o;
          totalemp_intNA | totalemp ON intNA;
          dom_intNA | dom ON intNA;
          dom_totalemp | dom ON totalemp;		

  	dom_o dom intNA totalemp ON wknd time_c;
                      		
          %BETWEEN%
          	
          totalemp_dom_o dom_dom_o intNA_dom_o 
          totalemp_intNA dom_intNA dom_totalemp;

          intNA WITH totalemp;

          dom_o dom ON intNA totalemp;

          dom_o dom intNA totalemp ON gender age;

           OUTPUT: 	TECH1 TECH8 TECH4 SAMPSTAT STDYX CINTERVAL;