COMPUTE rpartic2 = partic2 . COMPUTE ranydoc2 = anydoc2 . COMPUTE rphone1 = phone1 . COMPUTE rphone2 = phone2 . COMPUTE rcomm1 = comm1 . COMPUTE rcomm2 = comm2 . COMPUTE rcomm3 = comm3 . COMPUTE rcomm4 = comm4 . COMPUTE rcomm5 = comm5 . COMPUTE rcomm6 = comm6 . COMPUTE rcomm7 = comm7 . COMPUTE rcomm8 = comm8 . RECODE rpartic2 ranydoc2 rphone1 rphone2 (0=SYSMIS) (7 thru Highest =SYSMIS). RECODE rcomm1 rcomm2 rcomm3 rcomm4 rcomm5 rcomm6 rcomm7 rcomm8 (0=SYSMIS) (7 thru Highest =SYSMIS). RECODE gpcons wait (0=SYSMIS) (6 thru Highest =SYSMIS). RECODE recept hours waitrate contrate usual (0=SYSMIS) (7 thru Highest =SYSMIS). RECODE partic1 partic2 anydoc1 anydoc2 phone1 phone2 (0=SYSMIS) (8 thru Highest =SYSMIS). RECODE urgent (0=SYSMIS) (4 thru Highest = SYSMIS). RECODE morning (0=SYSMIS) (2 thru Highest =SYSMIS). RECODE lunch (0 thru 1 =SYSMIS) (3 thru Highest =SYSMIS). RECODE evening (0 thru 2 =SYSMIS) (4 thru Highest =SYSMIS). RECODE weekend (0 thru 3 =SYSMIS) (5 thru Highest =SYSMIS). RECODE none (0 thru 4 =SYSMIS) (6 thru Highest =SYSMIS). RECODE comm1 comm2 comm3 comm4 comm5 comm6 comm7 comm8 (0=SYSMIS) (8 thru Highest =SYSMIS). RECODE nurse1 nurse2 nurse3 (0=SYSMIS) (7 thru Highest =SYSMIS). RECODE employ (0=SYSMIS) (8 thru Highest =SYSMIS). RECODE ethnic (0=SYSMIS) (7 thru Highest =SYSMIS). RECODE nurse chronic accom sex (0=SYSMIS) (3 thru Highest =SYSMIS). RECODE age (0 =SYSMIS) (110 thru Highest =SYSMIS). COMPUTE acc_sc = ((mean.3(hours, rpartic2, ranydoc2, waitrate, rphone1, rphone2)-1)*100)/5 . COMPUTE recep_sc = (recept-1)*100/5 . COMPUTE cont_sc = (contrate-1)*100/5 . COMPUTE com_sc = ((mean.4(rcomm1, rcomm2, rcomm3, rcomm4, rcomm5, rcomm6, rcomm7, rcomm8)-1)*100)/5 . IF (nurse = 1) nur_sc= ((mean.2(nurse1, nurse2, nurse3)-1)*100)/5 . FREQUENCIES VARIABLES=acc_sc recep_sc cont_sc com_sc nur_sc/ FORMAT = NOTABLE / STATISTICS=MEAN MEDIAN MINIMUM MAXIMUM. COMPUTE ethnic2 = ethnic. RECODE ethnic2 (1=1) (2=2) (3=2) (4=2) (5=2) (6=2) . VALUE LABELS ethnic2 1.00000000000000 "White" 2.00000000000000 "Other". MEANS TABLES=acc_sc recep_sc cont_sc com_sc nur_sc BY ethnic2 /CELLS MEAN COUNT STDDEV MEDIAN /STATISTICS ANOVA . COMPUTE age2 = age. RECODE age2 (16 thru 44=1) (45 thru 110=2) . VALUE LABELS age2 1.00000000000000 "16 to 44" 2.00000000000000 "45 and 0ver". MEANS TABLES=acc_sc recep_sc cont_sc com_sc nur_sc BY age2 /CELLS MEAN COUNT STDDEV MEDIAN /STATISTICS ANOVA . MEANS TABLES=acc_sc recep_sc cont_sc com_sc nur_sc BY sex /CELLS MEAN COUNT STDDEV MEDIAN /STATISTICS ANOVA . COMPUTE hours_sc = (hours-1)*100/5 . COMPUTE part2_sc = (rpartic2-1)*100/5 . COMPUTE anyd2_sc = (ranydoc2-1)*100/5 . COMPUTE wtrt_sc = (waitrate-1)*100/5 . COMPUTE ph1_sc = (rphone1-1)*100/5 . COMPUTE ph2_sc = (rphone2-1)*100/5 . COMPUTE com1_sc = (rcomm1-1)*100/5 . COMPUTE com2_sc = (rcomm2-1)*100/5 . COMPUTE com3_sc = (rcomm3-1)*100/5 . COMPUTE com4_sc = (rcomm4-1)*100/5 . COMPUTE com5_sc = (rcomm5-1)*100/5 . COMPUTE com6_sc = (rcomm6-1)*100/5 . COMPUTE com7_sc = (rcomm7-1)*100/5 . COMPUTE com8_sc = (rcomm8-1)*100/5 . IF (nurse = 1) nur1_sc= (nurse1-1)*100/5 . IF (nurse = 1) nur2_sc= (nurse2-1)*100/5 . IF (nurse = 1) nur3_sc= (nurse3-1)*100/5 . FREQUENCIES VARIABLES=hours_sc part2_sc anyd2_sc wtrt_sc ph1_sc ph2_sc / FORMAT = NOTABLE / STATISTICS=MEAN MEDIAN MINIMUM MAXIMUM. FREQUENCIES VARIABLES=com1_sc com2_sc com3_sc com4_sc com5_sc com6_sc com7_sc com8_sc / FORMAT = NOTABLE / STATISTICS=MEAN MEDIAN MINIMUM MAXIMUM. FREQUENCIES VARIABLES=nur1_sc nur2_sc nur3_sc/ FORMAT = NOTABLE / STATISTICS=MEAN MEDIAN MINIMUM MAXIMUM. FREQUENCIES VARIABLES=gpcons recept hours morning lunch evening weekend none /ORDER ANALYSIS . FREQUENCIES VARIABLES=partic1 partic2 anydoc1 anydoc2 urgent /ORDER ANALYSIS . FREQUENCIES VARIABLES=wait waitrate phone1 phone2 usual contrate /ORDER ANALYSIS . FREQUENCIES VARIABLES=comm1 comm2 comm3 comm4 comm5 comm6 comm7 comm8 /ORDER ANALYSIS . FREQUENCIES VARIABLES=nurse nurse1 nurse2 nurse3 /ORDER ANALYSIS . FREQUENCIES VARIABLES=age /FORMAT= NOTABLE /STATISTICS=MEAN MIN MAX /ORDER ANALYSIS . FREQUENCIES VARIABLES=sex chronic ethnic accom employ /ORDER ANALYSIS .