* Encoding: UTF-8.
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Analysis Start At 11April2020

DATASET ACTIVATE DataSet2.

COMPUTE env.score=sum(env1+env2+env3+env4+env5+env6+env7+env8+env9+env10+env11+env12).
EXECUTE.

COMPUTE symp.score=sum(s1+s2+s3+s4+s5+s6+s7+s8+s9+s10+s11+s12+s13+s14+s15+s16+s17).
EXECUTE.

COMPUTE symp.score2=sum(s1+ss1+s2+ss2+s3+ss3+s4+ss4+s5+ss5+s6+ss6+s7+ss7+s8+ss8+s9+ss9+s10+ss10+s11
+ss11+s12+ss12+s13+ss13+s14+ss14+s15+ss15+s16+ss16+s17+ss17).
EXECUTE.

####Recode####

RECODE ss1 (-1=0) (ELSE=Copy) INTO ss1.n.
EXECUTE.
RECODE ss2 (-1=0) (ELSE=Copy) INTO ss2.n.
EXECUTE.
RECODE ss3 (-1=0) (ELSE=Copy) INTO ss3.n.
EXECUTE.
RECODE ss4 (-1=0) (ELSE=Copy) INTO ss4.n.
EXECUTE.
RECODE ss5 (-1=0) (ELSE=Copy) INTO ss5.n.
EXECUTE.
RECODE ss6 (-1=0) (ELSE=Copy) INTO ss6.n.
EXECUTE.
RECODE ss7 (-1=0) (ELSE=Copy) INTO ss7.n.
EXECUTE.
RECODE ss8 (-1=0) (ELSE=Copy) INTO ss8.n.
EXECUTE.
RECODE ss9 (-1=0) (ELSE=Copy) INTO ss9.n.
EXECUTE.
RECODE ss10 (-1=0) (ELSE=Copy) INTO ss10.n.
EXECUTE.
RECODE ss11 (-1=0) (ELSE=Copy) INTO ss11.n.
EXECUTE.
RECODE ss12 (-1=0) (ELSE=Copy) INTO ss12.n.
EXECUTE.
RECODE ss13 (-1=0) (ELSE=Copy) INTO ss13.n.
EXECUTE.
RECODE ss14 (-1=0) (ELSE=Copy) INTO ss14.n.
EXECUTE.
RECODE ss15 (-1=0) (ELSE=Copy) INTO ss15.n.
EXECUTE.
RECODE ss16 (-1=0) (ELSE=Copy) INTO ss16.n.
EXECUTE.
RECODE ss17 (-1=0) (ELSE=Copy) INTO ss17.n.
EXECUTE.

###### Analysis new composite using compute element of new scores #####

COMPUTE symp.score3=sum(s1+ss1.n+s2+ss2.n+s3+ss3.n+s4+ss4.n+s5+ss5.n+s6+ss6.n+s7+ss7.n+s8+ss8.n+s9+ss9.n+s10+ss10.n+s11
+ss11.n+s12+ss12.n+s13+ss13.n+s14+ss14.n+s15+ss15.n+s16+ss16.n+s17+ss17.n).
EXECUTE.

#### Condition score (Cond 1 until Cond5) #####

RECODE cond1 (0=3) (1=2) (2=1) (3=0) INTO cond1.n.
EXECUTE.
RECODE cond3 (0=3) (1=2) (2=1) (3=0) INTO cond3.n.
EXECUTE.
RECODE cond4 (0=3) (1=2) (2=1) (3=0) INTO cond4.n.
EXECUTE.
COMPUTE cond.tot=sum(cond1.n,cond2,cond3.n,cond4.n,cond5).
EXECUTE.
COMPUTE cond.mean=cond.tot/5.
EXECUTE.

##### Satisfaction score (C1 until C4) #####

COMPUTE satisfy=sum(c1+c2+c3+c4).
EXECUTE.
COMPUTE satisfy.mean=mean(satisfy/4).
EXECUTE.

##### Temperature feeling score #####

RECODE tcond (-2=2) (-1=1) (0=0) (1=0) (2=0) INTO tcond.n.
EXECUTE.
COMPUTE temp.tot=sum(tcond.n+tc1+tc2+tc3+tc4+tprob).
EXECUTE.
COMPUTE temp.mean=mean(temp.tot/6).
EXECUTE.
DESCRIPTIVES VARIABLES=temp.tot temp.mean
  /STATISTICS=MEAN STDDEV MIN MAX.

#### Cleaning Score ######

RECODE clean (-2=2) (-1=1) (0=0) (1=0) (2=0) INTO clean.n.
EXECUTE.
RECODE cleasy (-1=2) (0=1) (1=0) INTO cleasy.n.
EXECUTE.
COMPUTE clean.tot=sum(clean.n+cl1+cl2+cl3+cl4+cleasy.n).
EXECUTE.
COMPUTE clean.mean=mean(clean.tot/5).
EXECUTE.
DESCRIPTIVES VARIABLES=clean.tot clean.mean
  /STATISTICS=MEAN STDDEV MIN MAX.

#### Noise Condition #####

RECODE noise (-2=2) (-1=1) (0=0) (1=0) (2=0) INTO noise.n.
EXECUTE.
COMPUTE noise.tot=sum(noise.n+n1+n2+n3+n4).
EXECUTE.
COMPUTE noise.mean=mean(noise.tot/5).
EXECUTE.

#### Air Quality #####

RECODE aq (-2=2) (-1=1) (0=0) (1=0) (2=0) INTO aq.n.
EXECUTE.
COMPUTE aq.tot=sum(aq.n+aq1+aq2+aq3+aq4+aq5+badair).
EXECUTE.
COMPUTE aq.mean=mean(aq.tot/7).
EXECUTE.

##### Thermal Comfort ######

=====desk areas ====

COMPUTE them.desk=sum(them1,them2,them3).
EXECUTE.

==== parts ====

COMPUTE them.part=sum(them4a,them4b,them4c,them4d,them4e,them4f).
EXECUTE.

===== air movement ====

COMPUTE them.airmov=sum(them5,them6,them7).
EXECUTE.

==== activities =====

COMPUTE them.act=sum(them9a,them9b,them9c,them9d).
EXECUTE.

==== shirt ====

RECODE them10a (0=1) (ELSE=Copy) INTO them10a.n.
EXECUTE.
RECODE them10b (0=1) (ELSE=Copy) INTO them10b.n.
EXECUTE.
RECODE them11a (0=1) (ELSE=Copy) INTO them11a.n.
EXECUTE.
RECODE them11b (0=1) (ELSE=Copy) INTO them11b.n.
EXECUTE.
RECODE them11c (0=1) (ELSE=Copy) INTO them11c.n.
EXECUTE.
RECODE them11d (0=1) (ELSE=Copy) INTO them11d.n.
EXECUTE.
RECODE them12a (0=1) (ELSE=Copy) INTO them12a.n.
EXECUTE.
RECODE them12b (0=1) (ELSE=Copy) INTO them12b.n.
EXECUTE.
RECODE them12c (0=1) (ELSE=Copy) INTO them12c.n.
EXECUTE.
RECODE them13a (0=1) (ELSE=Copy) INTO them13a.n.
EXECUTE.
RECODE them13c (0=1) (ELSE=Copy) INTO them13c.n.
EXECUTE.

COMPUTE them.shirt=sum(them10a.n,them10b.n,them11a.n,them11b.n,them11c.n,them11d.n,them12a.n,
them12b.n,them12c.n,them13a.n,them13c.n).
EXECUTE.

===== Food and Smoke Status =====

RECODE them15d (0=0) (1=20) INTO them15d.n.
EXECUTE.
COMPUTE them.food=sum(them15a,them15b,them15c,them15e,them15d.n).
EXECUTE.

#### Health Condition #####

COMPUTE h1.n=sum(h1+hh1).
EXECUTE.
COMPUTE h2.n=sum(h2+hh2).
EXECUTE.
COMPUTE h3.n=sum(h3+hh3).
EXECUTE.
COMPUTE h4.n=sum(h4+hh4).
EXECUTE.
COMPUTE h5.n=sum(h5+hh5).
EXECUTE.
COMPUTE h6.n=sum(h6+hh6).
EXECUTE.

RECODE h1.n (0=0) (1=1) (2=10) INTO h1.n.c.
EXECUTE.
RECODE h2.n (0=0) (1=1) (2=10) INTO h2.n.c.
EXECUTE.
RECODE h3.n (0=0) (1=1) (2=10) INTO h3.n.c.
EXECUTE.
RECODE h4.n (0=0) (1=1) (2=10) INTO h4.n.c.
EXECUTE.
RECODE h5.n (0=0) (1=1) (2=10) INTO h5.n.c.
EXECUTE.
RECODE h6.n (0=0) (1=1) (2=10) INTO h6.n.c.
EXECUTE.

COMPUTE health.tot=sum(h1.n.c,h2.n.c,h3.n.c,h4.n.c,h5.n.c,h6.n.c).
EXECUTE.

#####Adjustment on Health Outcome Due to the Facilities #####

RECODE h1.n (1=0) (0=0) (2=1) INTO h1.cat.
EXECUTE.
RECODE h2.n (1=0) (0=0) (2=1) INTO h2.cat.
EXECUTE.
RECODE h3.n (1=0) (0=0) (2=1) INTO h3.cat.
EXECUTE.
RECODE h4.n (1=0) (0=0) (2=1) INTO h4.cat.
EXECUTE.
RECODE h5.n (1=0) (0=0) (2=1) INTO h5.cat.
EXECUTE.
RECODE h6.n (1=0) (0=0) (2=1) INTO h6.cat.
EXECUTE.

###### ===== Manipulation Data Ends ===== #######

###### Data Analysis ###### 14Apr2020

FREQUENCIES VARIABLES=class gender eye comp education status floor type.n work position.n s.hours 
    space smoking
  /ORDER=ANALYSIS.

FREQUENCIES VARIABLES=age duration
  /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN
  /ORDER=ANALYSIS.

FREQUENCIES VARIABLES=h1.cat h2.cat h3.cat h4.cat h5.cat h6.cat
  /ORDER=ANALYSIS.

---- Test of the categorical differences ---
[Demo]

NPAR TESTS
  /CHISQUARE=class gender eye comp education status floor type.n work position.n s.hours space smoking
  /EXPECTED=EQUAL
  /MISSING ANALYSIS.

[Health]

NPAR TESTS
  /CHISQUARE=h1.cat h2.cat h3.cat h4.cat h5.cat h6.cat
  /EXPECTED=EQUAL
  /MISSING ANALYSIS.

###### Environmental Perception and SBS Score ####

FREQUENCIES VARIABLES=env.score symp.score sbs.score sbut
  /FORMAT=NOTABLE
   /NTILES=4    
   /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN
  /ORDER=ANALYSIS.

#### Environmental Thermal Comfort Score #####

FREQUENCIES VARIABLES=cond.mean satisfy.mean temp.mean clean.mean noise.mean aq.mean them.desk 
    them.part them.airmov them.act them.shirt them.food health.tot
  /FORMAT=NOTABLE
  /NTILES=4
  /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN
  /ORDER=ANALYSIS.
  
  =====Classification of Levels =====
  
  
RECODE hcho1 (Lowest thru 0.02=0) (0.021 thru Highest=1) INTO hchoN.
EXECUTE.
RECODE pm2.5 (Lowest thru 50=0) (51 thru Highest=1) INTO pm2.5N.
EXECUTE.
RECODE tvoc (Lowest thru 0.1=0) (0.10 thru Highest=1) INTO tvocN.
EXECUTE.
RECODE air.mot (30 thru 100=0) (ELSE=1) INTO air.motN.
EXECUTE.
RECODE temp (24 thru 26=0) (ELSE=1) INTO tempN.
EXECUTE.
RECODE rh (56 thru 70=0) (ELSE=1) INTO rhN.
EXECUTE.
RECODE co2 (Lowest thru 832=0) (832 thru Highest=1) INTO co2N.
EXECUTE.
RECODE co (Lowest thru 3.5=0) (3.51 thru Highest=1) INTO coN.
EXECUTE.
RECODE flow (Lowest thru 33=1) (33 thru Highest=0) INTO flowN.
EXECUTE.

----------

====Categorize the Health Issues ====

RECODE env.total.n (Lowest thru 6.8=0) (6.81 thru Highest=1) INTO env.cat.
EXECUTE.
RECODE s.total.n (Lowest thru 8=0) (8.1 thru Highest=1) INTO sbs.cat.
EXECUTE.
RECODE general.n (Lowest thru 3=0) (3.1 thru Highest=1) INTO gen.cat.
EXECUTE.
RECODE mucosal.n (Lowest thru 2=0) (2.1 thru Highest=1) INTO muc.cat.
EXECUTE.
RECODE dermal.n (Lowest thru 1=0) (1.1 thru Highest=1) INTO der.cat.
EXECUTE.
RECODE other.n (Lowest thru 1=0) (1.1 thru Highest=1) INTO oth.cat.
EXECUTE.
RECODE sbut (Lowest thru 23=0) (23.1 thru Highest=1) INTO sbut.cat.
EXECUTE.

FREQUENCIES VARIABLES=env.cat sbs.cat gen.cat muc.cat der.cat oth.cat sbut.cat
  /ORDER=ANALYSIS.

NPAR TESTS
  /CHISQUARE=env.cat sbs.cat gen.cat muc.cat der.cat oth.cat sbut.cat
  /EXPECTED=EQUAL
  /MISSING ANALYSIS.
  
------
=== Regression Model ==

LOGISTIC REGRESSION VARIABLES general.cat
  /METHOD=ENTER hchoN pm2.5N tvocN air.motN tempN rhN co2N coN flowN cond.mean satisfy.mean 
    temp.mean clean.mean noise.mean aq.mean them.desk them.part them.airmov them.act them.shirt 
    them.food
  /METHOD=ENTER gender type.n eye floor space s.hours smoking comp education 
  /CONTRAST (hchoN)=Indicator(1)
  /CONTRAST (pm2.5N)=Indicator(1)
  /CONTRAST (tvocN)=Indicator(1)
  /CONTRAST (air.motN)=Indicator(1)
  /CONTRAST (tempN)=Indicator(1)
  /CONTRAST (rhN)=Indicator(1)
  /CONTRAST (co2N)=Indicator(1)
  /CONTRAST (coN)=Indicator(1)
  /CONTRAST (flowN)=Indicator(1)
  /CONTRAST (gender)=Indicator
  /CONTRAST (type.n)=Indicator
  /CONTRAST (eye)=Indicator
  /CONTRAST (floor)=Indicator
  /CONTRAST (space)=Indicator
  /CONTRAST (s.hours)=Indicator
  /CONTRAST (smoking)=Indicator
  /CONTRAST (comp)=Indicator
  /CONTRAST (education)=Indicator
  /PRINT=GOODFIT CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
----


===Finalize Analysis 12 May 2020 - Significant Health With the Selected IVs===


LOGISTIC REGRESSION VARIABLES h1.cat
  /METHOD=ENTER hchoN pm2.5N tvocN air.motN rhN co2N flowN cond.mean satisfy.mean 
    clean.mean aq.mean them.shirt
  /METHOD=ENTER gender type.n eye floor space s.hours smoking comp education 
  /CONTRAST (hchoN)=Indicator(1)
  /CONTRAST (pm2.5N)=Indicator(1)
  /CONTRAST (tvocN)=Indicator(1)
  /CONTRAST (air.motN)=Indicator(1)
  /CONTRAST (rhN)=Indicator(1)
  /CONTRAST (co2N)=Indicator(1)
  /CONTRAST (flowN)=Indicator(1)
  /CONTRAST (gender)=Indicator
  /CONTRAST (type.n)=Indicator
  /CONTRAST (eye)=Indicator
  /CONTRAST (floor)=Indicator
  /CONTRAST (space)=Indicator
  /CONTRAST (s.hours)=Indicator
  /CONTRAST (smoking)=Indicator
  /CONTRAST (comp)=Indicator
  /CONTRAST (education)=Indicator
  /PRINT=GOODFIT CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).

===End===