*date operation
COMPUTE time = aug + jul + jun + may + apmafe .
EXECUTE .

*recode attitude score

RECODE
  ra01 ra02 ra04 ra06 ra10 ra11
  (1=5)  (2=4)  (3=3)  (4=2)  (5=1)  (ELSE=Copy)  INTO  sra01 sra02 sra04 sra06 sra10 sra11 .
EXECUTE .
RECODE
  ra03 ra05 ra07 ra08 ra09 ra12
  (ELSE=Copy)  INTO  sra03 sra05 sra07 sra08 sra09 sra12 .
EXECUTE .

*replace missing value satisfaction score / summate overall and 4 factors

RMV
  /rs01_1=TREND(rs01) /rs02_1=TREND(rs02) /
 /rs04_1=TREND(rs04) /rs05_1=TREND(rs05) /rs06_1=TREND(rs06)
 /rs07_1=TREND(rs07) /rs08_1=TREND(rs08) /rs09_1=TREND(rs09)
 /rs10_1=TREND(rs10) /rs11_1=TREND(rs11) /rs12_1=TREND(rs12)
 /rs13_1=TREND(rs13) /rs14_1=TREND(rs14) /rs15_1=TREND(rs15)
 /rs16_1=TREND(rs16) /rs17_1=TREND(rs17) /rs18_1=TREND(rs18)
 /rs19_1=TREND(rs19) /rs20_1=TREND(rs20) /rs21_1=TREND(rs21)
 /rs22_1=TREND(rs22) /rs23_1=TREND(rs23) /rs24_1=TREND(rs24)
 /rs25_1=TREND(rs25) /rs26_1=TREND(rs26) /rs27_1=TREND(rs27)
 /rs28_1=TREND(rs28) /rs29_1=TREND(rs29) /rs30_1=TREND(rs30)
 /rs31_1=TREND(rs31) /rs32_1=TREND(rs32) /rs33_1=TREND(rs33)
 /rs34_1=TREND(rs34).
COMPUTE persum = MEAN(rs01_1,rs04_1,rs05_1,rs07_1,rs08_1,rs10_1,rs11_1
 ,rs13_1,rs20_1,rs26_1,rs30_1,rs33_1) .
VARIABLE LABELS persum 'Personnel Summate score' .
EXECUTE .
COMPUTE prosum = MEAN(rs09_1,rs14_1,rs15_1,rs16_1,rs17_1,rs18_1,rs19_1,rs21_1,rs23_1
 ,rs28_1) .
VARIABLE LABELS prosum 'Process Summate score' .
EXECUTE .
COMPUTE outsum = MEAN(rs06_1,rs12_1,rs22_1,rs31_1,rs32_1,rs34_1) .
VARIABLE LABELS outsum 'Outcome Summate score' .
EXECUTE .
COMPUTE plcsum = MEAN(rs02_1,rs24_1,rs25_1,rs27_1,rs29_1) .
VARIABLE LABELS plcsum 'Place Summate score' .
EXECUTE .
COMPUTE satsumsc = MEAN(persum,prosum,outsum,plcsum) .
VARIABLE LABELS satsumsc 'Satisfaction Summate Score' .
EXECUTE .

*replace missing value attitude score and summate attitude score

RMV
  /sra02_1=TREND(sra02) /sra03_1=TREND(sra03) 
 /sra04_1=TREND(sra04) /sra05_1=TREND(sra05) /sra06_1=TREND(sra06)
 /sra08_1=TREND(sra08) /sra09_1=TREND(sra09)
 /sra10_1=TREND(sra10) /sra11_1=TREND(sra11) /sra12_1=TREND(sra12).
COMPUTE Attscore = sra02_1+sra03_1+sra04_1+sra05_1+sra06_1
 +sra08_1+sra09_1+sra10_1+sra11_1+sra12_1 .
VARIABLE LABELS Attscore 'Attitude Score' .
EXECUTE .

*replace missing value intention score and summate intention score

RMV
  /ri01_1=TREND(ri01) /ri02_1=TREND(ri02) /ri03_1=TREND(ri03)
 /ri04_1=TREND(ri04) /ri05_1=TREND(ri05) /ri06_1=TREND(ri06)
 /ri07_1=TREND(ri07) /ri08_1=TREND(ri08) /ri09_1=TREND(ri09).
COMPUTE intscore = ri01_1+ri02_1+ri03_1+ri04_1+ri05_1+ri06_1+ri07_1+ri08_1
 +ri09_1 .
VARIABLE LABELS intscore 'Intention Score' .
EXECUTE .

*replace missing value perceive score and summate perceived score

RMV
  /rp01_1=TREND(rp01) /rp02_1=TREND(rp02) /rp03_1=TREND(rp03)
 /rp04_1=TREND(rp04) /rp05_1=TREND(rp05) /rp06_1=TREND(rp06)
 /rp07_1=TREND(rp07) /rp08_1=TREND(rp08) /rp09_1=TREND(rp09).
COMPUTE perscore = rp01_1+rp02_1+rp03_1+rp04_1+rp05_1+rp06_1+rp07_1+rp08_1
 +rp09_1 .
VARIABLE LABELS perscore 'Perceived Score' .
EXECUTE .

*Factor Alpha VARIMAX 666 cases

FACTOR
  /VARIABLES rs01_1 rs02_1 rs03_1 rs04_1 rs05_1 rs06_1 rs07_1 rs08_1 rs09_1
  rs10_1 rs11_1 rs12_1 rs13_1 rs14_1 rs15_1 rs16_1 rs17_1 rs18_1 rs19_1 rs20_1
  rs21_1 rs22_1 rs23_1 rs24_1 rs25_1 rs26_1 rs27_1 rs28_1 rs29_1 rs30_1 rs31_1
  rs32_1 rs33_1 rs34_1  /MISSING LISTWISE /ANALYSIS rs01_1 rs02_1 rs03_1
  rs04_1 rs05_1 rs06_1 rs07_1 rs08_1 rs09_1 rs10_1 rs11_1 rs12_1 rs13_1 rs14_1
  rs15_1 rs16_1 rs17_1 rs18_1 rs19_1 rs20_1 rs21_1 rs22_1 rs23_1 rs24_1 rs25_1
  rs26_1 rs27_1 rs28_1 rs29_1 rs30_1 rs31_1 rs32_1 rs33_1 rs34_1
  /PRINT UNIVARIATE INITIAL CORRELATION SIG DET KMO AIC EXTRACTION ROTATION
  FSCORE
  /FORMAT SORT
  /PLOT EIGEN ROTATION
  /CRITERIA MINEIGEN(1) ITERATE(500)
  /EXTRACTION ALPHA
  /CRITERIA ITERATE(500)
  /ROTATION VARIMAX .

*Reliability 33 items

RELIABILITY
  /VARIABLES=rs01_1 rs02_1 rs04_1 rs05_1 rs06_1 rs07_1 rs08_1 rs09_1 rs10_1
  rs11_1 rs12_1 rs13_1 rs14_1 rs15_1 rs16_1 rs17_1 rs18_1 rs19_1 rs20_1 rs21_1
  rs22_1 rs23_1 rs24_1 rs25_1 rs26_1 rs27_1 rs28_1 rs29_1 rs30_1 rs31_1 rs32_1
  rs33_1 rs34_1
  /FORMAT=NOLABELS
  /SCALE(ALPHA)=ALL/MODEL=ALPHA
  /STATISTICS=DESCRIPTIVE SCALE
  /SUMMARY=TOTAL .

*Reliability Factor1

RELIABILITY
  /VARIABLES=rs01_1 rs04_1 rs05_1 rs07_1 rs08_1 rs10_1 rs11_1 rs13_1 rs20_1
  rs26_1 rs30_1 rs33_1
  /FORMAT=NOLABELS
  /SCALE(ALPHA)=ALL/MODEL=ALPHA
  /STATISTICS=DESCRIPTIVE SCALE
  /SUMMARY=TOTAL .

*Reliability Factor2

RELIABILITY
  /VARIABLES=rs09_1 rs14_1 rs15_1 rs16_1 rs17_1 rs18_1 rs19_1 rs21_1 rs23_1
  rs28_1
  /FORMAT=NOLABELS
  /SCALE(ALPHA)=ALL/MODEL=ALPHA
  /STATISTICS=DESCRIPTIVE SCALE
  /SUMMARY=TOTAL .

*Reliability Factor3

RELIABILITY
  /VARIABLES=rs06_1 rs12_1 rs22_1 rs31_1 rs32_1 rs34_1
  /FORMAT=NOLABELS
  /SCALE(ALPHA)=ALL/MODEL=ALPHA
  /STATISTICS=DESCRIPTIVE SCALE
  /SUMMARY=TOTAL .

*Reliability Factor4

RELIABILITY
  /VARIABLES=rs02_1 rs24_1 rs25_1 rs27_1 rs29_1
  /FORMAT=NOLABELS
  /SCALE(ALPHA)=ALL/MODEL=ALPHA
  /STATISTICS=DESCRIPTIVE SCALE
  /SUMMARY=TOTAL .

*Correlate file

*replace missing value satisfaction score / summate overall and 4 factors

RMV
  /rs01_#2=TREND(rs01#2) /rs02_#2=TREND(rs02#2) /
 /rs04_#2=TREND(rs04#2) /rs05_#2=TREND(rs05#2) /rs06_#2=TREND(rs06#2)
 /rs07_#2=TREND(rs07#2) /rs08_#2=TREND(rs08#2) /rs09_#2=TREND(rs09#2)
 /rs10_#2=TREND(rs10#2) /rs11_#2=TREND(rs11#2) /rs12_#2=TREND(rs12#2)
 /rs13_#2=TREND(rs13#2) /rs14_#2=TREND(rs14#2) /rs15_#2=TREND(rs15#2)
 /rs16_#2=TREND(rs16#2) /rs17_#2=TREND(rs17#2) /rs18_#2=TREND(rs18#2)
 /rs19_#2=TREND(rs19#2) /rs20_#2=TREND(rs20#2) /rs21_#2=TREND(rs21#2)
 /rs22_#2=TREND(rs22#2) /rs23_#2=TREND(rs23#2) /rs24_#2=TREND(rs24#2)
 /rs25_#2=TREND(rs25#2) /rs26_#2=TREND(rs26#2) /rs27_#2=TREND(rs27#2)
 /rs28_#2=TREND(rs28#2) /rs29_#2=TREND(rs29#2) /rs30_#2=TREND(rs30#2)
 /rs31_#2=TREND(rs31#2) /rs32_#2=TREND(rs32#2) /rs33_#2=TREND(rs33#2)
 /rs34_#2=TREND(rs34#2).
COMPUTE persum#2 = MEAN(rs01_#2,rs04_#2,rs05_#2,rs07_#2,rs08_#2,rs10_#2,rs11_#2
 ,rs13_#2,rs20_#2,rs26_#2,rs30_#2,rs33_#2) .
VARIABLE LABELS persum#2 'Personnel Summate score second' .
EXECUTE .
COMPUTE prosum#2 = MEAN(rs09_#2,rs14_#2,rs15_#2,rs16_#2,rs17_#2,rs18_#2,rs19_#2,rs21_#2,rs23_#2
 ,rs28_#2) .
VARIABLE LABELS prosum#2 'Process Summate score second' .
EXECUTE .
COMPUTE outsum#2 = MEAN(rs06_#2,rs12_#2,rs22_#2,rs31_#2,rs32_#2,rs34_#2) .
VARIABLE LABELS outsum#2 'Outcome Summate score second' .
EXECUTE .
COMPUTE plcsum#2 = MEAN(rs02_#2,rs24_#2,rs25_#2,rs27_#2,rs29_#2) .
VARIABLE LABELS plcsum#2 'Place Summate score second' .
EXECUTE .
COMPUTE satsum#2 = MEAN(persum#2,prosum#2,outsum#2,plcsum#2) .
VARIABLE LABELS satsum#2 'Satisfaction Summate Score second' .
EXECUTE .

*replace missing value attitude score and summate attitude score

RMV
  /sra02_#2=TREND(sra02#2) /sra03_#2=TREND(sra03#2)
 /sra04_#2=TREND(sra04#2) /sra05_#2=TREND(sra05#2) /sra06_#2=TREND(sra06#2)
 /sra08_#2=TREND(sra08#2) /sra09_#2=TREND(sra09#2)
 /sra10_#2=TREND(sra10#2) /sra11_#2=TREND(sra11#2) /sra12_#2=TREND(sra12#2).
COMPUTE Attsco#2 = sra02_#2+sra03_#2+sra04_#2+sra05_#2+sra06_#2
 +sra08_#2+sra09_#2+sra10_#2+sra11_#2+sra12_#2 .
VARIABLE LABELS Attsco#2 'Attitude Score second' .
EXECUTE .

* tools correlation

CORRELATIONS
  /VARIABLES=ri01 rp04 ri02 rp07 ri03 rp05 ri04 rp02 ri05 rp09 ri06 rp03 ri07
  rp01 ri08 rp08 ri09 rp06
  /PRINT=TWOTAIL NOSIG
  /MISSING=PAIRWISE .

CORRELATIONS
  /VARIABLES=ri01_1 rp04_1 ri02_1 rp07_1 ri03_1 rp05_1 ri04_1 rp02_1 ri05_1 rp09_1 ri06_1 rp03_1 ri07_1
  rp01_1 ri08_1 rp08_1 ri09_1 rp06_1
  /PRINT=TWOTAIL NOSIG
  /MISSING=PAIRWISE .

CORRELATIONS
  /VARIABLES=ovsat persum prosum outsum plcsum satsumsc attscore ovsat#2
  persum#2 prosum#2 outsum#2 plcsum#2 satsum#2 attsco#2 intscore perscore
  /PRINT=TWOTAIL NOSIG
  /MISSING=PAIRWISE .

* Mean of twice

COMPUTE attmean = MEAN(attscore,attsco#2) .
EXECUTE .

COMPUTE persmean = MEAN(persum,persum#2) .
EXECUTE .
COMPUTE prosmean = MEAN(prosum,prosum#2) .
EXECUTE .
COMPUTE outsmean = MEAN(outsum,outsum#2) .
EXECUTE .
COMPUTE plcsmean = MEAN(plcsum,plcsum#2) .
EXECUTE .
COMPUTE osatmean = MEAN(ovsat,ovsat#2) .
EXECUTE .
COMPUTE ssatmean = MEAN(persmean,prosmean,outsmean,plcsmean) .
EXECUTE .

* Average item in satisfaction scale

COMPUTE rs01_m = MEAN(rs01_1,rs01_#2) .
EXECUTE .
COMPUTE rs02_m = MEAN(rs02_1,rs02_#2) .
EXECUTE .
COMPUTE rs04_m = MEAN(rs04_1,rs04_#2) .
EXECUTE .
COMPUTE rs05_m = MEAN(rs05_1,rs05_#2) .
EXECUTE .
COMPUTE rs06_m = MEAN(rs06_1,rs06_#2) .
EXECUTE .
COMPUTE rs07_m = MEAN(rs07_1,rs07_#2) .
EXECUTE .
COMPUTE rs08_m = MEAN(rs08_1,rs08_#2) .
EXECUTE .
COMPUTE rs09_m = MEAN(rs09_1,rs09_#2) .
EXECUTE .
COMPUTE rs10_m = MEAN(rs10_1,rs10_#2) .
EXECUTE .
COMPUTE rs11_m = MEAN(rs11_1,rs11_#2) .
EXECUTE .
COMPUTE rs12_m = MEAN(rs12_1,rs12_#2) .
EXECUTE .
COMPUTE rs13_m = MEAN(rs13_1,rs13_#2) .
EXECUTE .
COMPUTE rs14_m = MEAN(rs14_1,rs14_#2) .
EXECUTE .
COMPUTE rs15_m = MEAN(rs15_1,rs15_#2) .
EXECUTE .
COMPUTE rs16_m = MEAN(rs16_1,rs16_#2) .
EXECUTE .
COMPUTE rs17_m = MEAN(rs17_1,rs17_#2) .
EXECUTE .
COMPUTE rs18_m = MEAN(rs18_1,rs18_#2) .
EXECUTE .
COMPUTE rs19_m = MEAN(rs19_1,rs19_#2) .
EXECUTE .
COMPUTE rs20_m = MEAN(rs20_1,rs20_#2) .
EXECUTE .
COMPUTE rs21_m = MEAN(rs21_1,rs21_#2) .
EXECUTE .
COMPUTE rs22_m = MEAN(rs22_1,rs22_#2) .
EXECUTE .
COMPUTE rs23_m = MEAN(rs23_1,rs23_#2) .
EXECUTE .
COMPUTE rs24_m = MEAN(rs24_1,rs24_#2) .
EXECUTE .
COMPUTE rs25_m = MEAN(rs25_1,rs25_#2) .
EXECUTE .
COMPUTE rs26_m = MEAN(rs26_1,rs26_#2) .
EXECUTE .
COMPUTE rs27_m = MEAN(rs27_1,rs27_#2) .
EXECUTE .
COMPUTE rs28_m = MEAN(rs28_1,rs28_#2) .
EXECUTE .
COMPUTE rs29_m = MEAN(rs29_1,rs29_#2) .
EXECUTE .
COMPUTE rs30_m = MEAN(rs30_1,rs30_#2) .
EXECUTE .
COMPUTE rs31_m = MEAN(rs31_1,rs31_#2) .
EXECUTE .
COMPUTE rs32_m = MEAN(rs32_1,rs32_#2) .
EXECUTE .
COMPUTE rs33_m = MEAN(rs33_1,rs33_#2) .
EXECUTE .
COMPUTE rs34_m = MEAN(rs34_1,rs34_#2) .
EXECUTE .


* Factor score from 33 items

COMPUTE perfac = (0.12776 * rs01_m)+(0.01877 * rs02_m)+(0.06611 * rs04_m)+(0.22910 * rs05_m)+(0.01833 * rs06_m)+(0.21654 * rs07_m)+(0.09353 * rs08_m)
 +(0.02038 * rs09_m)+(0.26193 * rs10_m)+(0.14048 * rs11_m)+(-0.01197 * rs12_m)+(0.15615 * rs13_m)+(-0.01591 * rs14_m)+(-0.07898 * rs15_m)+(-0.02114 * rs16_m)+(0.00106 * rs17_m)+(-0.08201 * rs18_m)+(-0.02304 * rs19_m)
 +(0.08654 * rs20_m)+(-0.00793 * rs21_m)+(-0.03656 * rs22_m)+(-0.03102 * rs23_m)+(-0.05049 * rs24_m)+(-0.01320 * rs25_m)+(0.07598 * rs26_m)+(-0.05569 * rs27_m)+(-0.08573 * rs28_m)+(-0.09831 * rs29_m)+(0.04816 * rs30_m)
 +(-0.09654 * rs31_m)+(0.00874 * rs32_m)+(0.07241 * rs33_m)+(-0.03205 * rs34_m) .
VARIABLE LABELS perfac 'Personnel Satisfaction Factor Score' .
EXECUTE .
COMPUTE profac = (-0.08240 * rs01_m)+(-0.07680 * rs02_m)+(-0.01965 * rs04_m)+(-0.08916 * rs05_m)+(-0.07932 * rs06_m)+(-0.17179 * rs07_m)+(0.02314 * rs08_m)
 +(0.05003 * rs09_m)+(-0.07514 * rs10_m)+(0.02120 * rs11_m)+(-0.07374 * rs12_m)+(0.06996 * rs13_m)+(0.23510 * rs14_m)+(0.15089 * rs15_m)+(0.16386 * rs16_m)+(0.16345 * rs17_m)+(0.23956 * rs18_m)+(0.16173 * rs19_m)
 +(0.07110 * rs20_m)+(0.11396 * rs21_m)+(0.00443 * rs22_m)+(0.06954 * rs23_m)+(-0.08562 * rs24_m)+(0.00223 * rs25_m)+(0.04825 * rs26_m)+(-0.03444 * rs27_m)+(0.15914 * rs28_m)+(-0.01942 * rs29_m)+(-0.04104 * rs30_m)
 +(-0.12503 * rs31_m)+(-0.01928 * rs32_m)+(-0.03594 * rs33_m)+(-0.02729 * rs34_m) .
VARIABLE LABELS profac 'Process Satisfaction Factor Score' .
EXECUTE .
COMPUTE outfac = (0.04142 * rs01_m)+(-0.00620 * rs02_m)+(-0.00474 * rs04_m)+(-0.05982 * rs05_m)+(0.21524 * rs06_m)+(-0.07795 * rs07_m)+(0.05966 * rs08_m)
 +(-0.03163 * rs09_m)+(-0.02190 * rs10_m)+(-0.09151 * rs11_m)+(0.29066 * rs12_m)+(-0.00533 * rs13_m)+(-0.01337 * rs14_m)+(0.09639 * rs15_m)+(-0.07449 * rs16_m)+(-0.11163 * rs17_m)+(-0.08990 * rs18_m)+(0.00530 * rs19_m)
 +(-0.05397 * rs20_m)+(-0.00025 * rs21_m)+(0.17298 * rs22_m)+(0.02336 * rs23_m)+(-0.07893 * rs24_m)+(-0.05510 * rs25_m)+(-0.06704 * rs26_m)+(0.01569 * rs27_m)+(-0.03843 * rs28_m)+(0.02118 * rs29_m)+(0.03954 * rs30_m)
 +(0.41902 * rs31_m)+(0.04884 * rs32_m)+(-0.00019 * rs33_m)+(0.11119 * rs34_m) .
VARIABLE LABELS outfac 'Outcome Satisfaction Factor Score' .
EXECUTE .
COMPUTE plcfac = (-0.01978 * rs01_m)+(0.16052 * rs02_m)+(0.01163 * rs04_m)+(-0.02766 * rs05_m)+(-0.04124 * rs06_m)+(0.12269 * rs07_m)+(-0.12608 * rs08_m)
 +(0.02235 * rs09_m)+(-0.07573 * rs10_m)+(-0.01692 * rs11_m)+(-0.09321 * rs12_m)+(-0.15049 * rs13_m)+(-0.13824 * rs14_m)+(-0.08272 * rs15_m)+(0.03275 * rs16_m)+(0.03705 * rs17_m)+(0.03105 * rs18_m)+(-0.05446 * rs19_m)
 +(-0.04404 * rs20_m)+(0.00358 * rs21_m)+(-0.03151 * rs22_m)+(0.03833 * rs23_m)+(0.36052 * rs24_m)+(0.13936 * rs25_m)+(0.02842 * rs26_m)+(0.20158 * rs27_m)+(0.05944 * rs28_m)+(0.26002 * rs29_m)+(0.06035 * rs30_m)
 +(-0.04018 * rs31_m)+(0.05121 * rs32_m)+(0.05842 * rs33_m)+(0.04803 * rs34_m) .
VARIABLE LABELS plcfac 'Place Satisfaction Factor Score' .
EXECUTE .