ANNEXE
if (v106=1) prim=1. if (v106<>1) prim=0. if (v106=2)
secon=1. if (v106<>2) secon=0.
factor var= inac tech com agri cadre ouv mere pere ensem aut
res / extraction pc/criteria factors (1)/print all/save reg (1
fact). freq fact1/Ntiles 4.
rec fact1 (lo thru -0.76=1) (-0.7599 thru 1.044=2) (1.0449 thru
hi=3).
var lab fact1"pouvoir financier de la femme". val lab fact1
1"faible" 2"moyen" 3"eleve". fre fact1.
if (fact1=1) faible=1. if (fact1<>1) faible=0. if
(fact1=2) moyen=1. if (fact1<>2) moyen=0. if (fact1=3) eleve=1. if
(fact1<>3) eleve=0.
rec v201 (1,2,3=1) (4,5,6=2) (7,8,9=3) (10 thru hi=4)
(else=sysmis). var lab v201 "parite".
val lab v201 1"par1" 2"par2" 3"par3" 4"par4".
if (v201=1) par1=1. if (v201<>1) par1=0. if (v201=2)
par2=1. if (v201<>2) par2=0. if (v201=3) par3=1. if (v201<>3)
par3=0. if (v201=4) par4=1. if (v201<>4) par4=0.
rec v012 (15 thru 19=1) (20 thru 24=2) (25 thru 29=3) (30 thru
34=4) (35 thru 39=5) ( 40 thru 49=6) (else=sysmis).
var lab v012 "age".
if (v012=1) age1=1. if (v012<>1) age1=0. if (v012=2)
age2=1. if (v012<>2) age2=0. if (v012=3) age3=1. if (v012<>3)
age3=0. if (v012=4) age4=1. if (v012<>4) age4=0. if (v012=5) age5=1. if
(v012<>5) age5=0. if (v012=6) age6=1. if (v012<>6) age6=0.
factor var= par1 par2 par3 par4 age1 age2 age3 age4 age5 age6/
extraction pc/ criteria factors (1)/print all/save reg (1 factor).
freq factor1/Ntiles 4.
rec factor1 (lo thru -0.886=1) (-0.88599 thru -0.295=2) (-0.29499
thru 0.833=3) (0.83309 thru hi=4).
var lab factor1"exprience".
val lab factor1 1"pasex" 2"peuex" 3"moyexp" 4"grdexp".
fre factor1.
if (factor1=1) pasex=1. if (factor1<>1) pasex=0. if
(factor1=2) peuex=1. if (factor1<>2) peuex=0. if (factor1=3) moyexp=1. if
(factor1<>3) moyexp=0. if (factor1=4) grdexp=1. if (factor1<>4)
grdexp=0.
rec h22 (0,8=0) (1=1) (else=sysmis). fre h22.
select if (h22=1).
rec pharh (1=0) (2=1) (else=sysmis). var lab pharh " pharcih".
if (pharh=0) phar1=1. if (pharh <>0) phar1=0. if (pharh=1)
phar2=1. if (pharh <>1) phar2=0.
rec cnph (1=0) (2=1) (else=sysmis). var lab cnph " pharmcn".
if (cnph=0) cnph1=1. if (cnph <>0) cnph1=0. if (cnph=1)
cnph2=1. if (cnph <>1) cnph2=0.
rec cli (1=0) (2=1) (else=sysmis). var lab cli " cliniq".
if (cli=0) cli1=1. if (cli <>0) cli1=0. if (cli=1) cli2=1.
if (cli <>1) cli2=0.
rec mil (1=0) (2=1) (else=sysmis). var lab mil "militer".
if (mil=0) mil1=1. if (mil <>0) mil1=0. if (mil=1) mil2=1.
if (mil <>1) mil2=0.
rec hop (1=0) (2=1) (else=sysmis). var lab hop "hopital".
if (hop=0) hop1=1. if (hop <>0) hop1=0. if (hop=1) hop2=1.
if (hop <>1) hop2=0.
rec cab (1=0) (2=1) (else=sysmis). var lab cab "cabinet".
if (cab=0) cab1=1. if (cab <>0) cab1=0. if (cab=1) cab2=1.
if (cab <>1) cab2=0.
rec infi (1=0) (2=1) (else=sysmis). var lab infi "infirmer".
if (infi=0) infi1=1.
if (infi <>0) infi1=0. if (infi =1) infi2=1. if (infi
<>1) infi2=0.
rec pha (1=0) (2=1) (else=sysmis). var lab pha " pharmac".
if (pha=0) pha1=1. if (pha <>0) pha1=0. if (pha=1) pha2=1.
if (pha <>1) pha2=0.
rec smi (1=0) (2=1) (else=sysmis). var lab smi " santem".
if (smi=0) smi1=1. if (smi <>0) smi1=0. if (smi=1) smi2=1.
if (smi <>1) smi2=0.
rec presc (1=0) (2=1) (else=sysmis). var lab presc "prescri".
if (presc=0) presc1=1. if (presc <>0) presc1=0. if
(presc=1) presc2=1. if (presc <>1) presc2=0.
rec disp (1=0) (2=1) (else=sysmis). var lab disp "dispense".
if (disp=0) disp1=1. if (disp <>0) disp1=0. if (disp=1)
disp2=1. if (disp <>1) disp2=0.
rec sour (1=0) (2=1) (else=sysmis). var lab sour " lieu".
if (sour=0) sou1=1. if (sour <>0) sou1=0. if (sour=1)
sou2=1. if (sour <>1) sou2=0.
rec chlo (1=0) (2=1) (else=sysmis). var lab chlo " chloro".
if (chlo=0) chlo1=1. if (chlo <>0) chlo1=0. if (chlo=1)
chlo2=1. if (chlo <>1) chlo2=0.
rec arqu (1=0) (2=1) (else=sysmis). var lab arqu" arquis".
if (arqu=0) arq1=1. if (arqu<>0) arq1=0. if (arqu=1)
arq2=1. if (arqu<>1) arq2=0.
rec qui (1=0) (2=1) (else=sysmis). var lab qui " quinimax".
if (qui=0) qui1=1. if (qui <>0) qui1=0. if (qui=1) qui2=1.
if (qui <>1) qui2=0.
rec autre (1=0) (2=1) (else=sysmis).
var lab autre " autrean". if (autre=0) aut1=1.
if (autre <>0) aut1=0. if (autre=1) aut2=1. if (autre
<>1) aut2=0.
rec dist (1=0) (2=1) (else=sysmis).
var lab dist " distance". if (dist=0) dis1=1.
if (dist <>0) dis1=0. if (dist=1) dis2=1. if (dist
<>1) dis2=0.
rec moyen (1=0) (2=1) (else=sysmis).
var lab moyen " deplace". if (moyen=0) moy1=1.
if (moyen <>0) moy1=0. if (moyen=1) moy2=1. if (moyen
<>1) moy2=0.
rec dure (1=0) (2=1) (else=sysmis).
var lab dure " duredep". if (dure=0) dur1=1.
if (dure <>0) dur1=0. if (dure=1) dur2=1. if (dure
<>1) dur2=0.
comp accegeo= dist + dure. fre accegeo.
rec accegeo (0=0) (1,2=1) (else=sysmis).
if (accegeo=0) facil=1. if (accegeo<>0) facil=0. if
(accegeo=1) assezf=1. if (accegeo<>1) assezf=0. fre accegeo.
com traite= chlo+ arqu + qui + autre. fre traite.
rec traite (0,3=0) (1,2=1).
val lab traite 0" ntraite" 1" traim". fre traite.
compute source= cli + mil + hop + cab + infi + pha + smi + disp.
fre source.
rec source (0=0) (1,2=1).
val lab source 0" nsour" 1" sour".
fre source.
compute prise= traite * source.
fre prise.
val lab prise 0"mauvaise" 1"bonne".
fre prise.
cro tab fact1 by v704/cells cou col row/sta 1 3 4.
fre source/sta all. fre traite/sta all. fre prise/sta all.
ACCEGEO
V024 region
Estimation terminated at iteration number 4 because Log
Likelihood decreased by less than .01 percent.
Chi-Square df Significance
-2 Log Likelihood 1382.620 1027 .0000
Model Chi-Square 96.358 40 .0000
Improvement 96.358 40 .0000
Goodness of Fit 1062.850 1027 .2107
Page 352 SPSS/PC+ 10/20/ 8
Classification Table for PRISE
Predicted
mauvaise bonne Percent Correct
m 3 b
Observed
ÅÄÄÄÄÄÄÄÄÄÅÄÄÄÄÄÄÄÄÄÅ
mauvaise m 3 354 3 197 3
64.25%
ÄÄÄÄÄÄÄÄÄÅÄÄÄÄÄÄÄÄÄ
bonne b 3 218 3 298 3 57.75%
Å
Overall 61.11%
Page 353 SPSS/PC+ 10/20/ 8
Variables in the Equation
Variable B S.E. Wald df Sig R Exp(B)
V026
|
|
|
1.9526
|
2
|
.3767
|
.0000
|
|
V026(1)
|
.0054
|
.2660
|
.0004
|
1
|
.9839
|
.0000
|
1.0054
|
V026(2)
|
-.2903
|
.3084
|
.8861
|
1
|
.3465
|
.0000
|
.7481
|
V103
|
|
|
2.9644
|
3
|
.3971
|
.0000
|
|
V103(1)
|
.2422
|
.1759
|
1.8966
|
1
|
.1685
|
.0000
|
1.2741
|
V103(2)
|
.3342
|
.2127
|
2.4699
|
1
|
.1160
|
.0178
|
1.3968
|
V103(3)
|
.1666
|
.3809
|
.1913
|
1
|
.6618
|
.0000
|
1.1813
|
V106
|
|
|
3.5897
|
2
|
.1662
|
.0000
|
|
V106(1)
|
-.0673
|
.3636
|
.0342
|
1
|
.8532
|
.0000
|
.9349
|
V106(2)
|
.2714
|
.1487
|
3.3303
|
1
|
.0680
|
.0300
|
1.3118
|
V130
|
|
|
9.5490
|
4
|
.0487
|
.0324
|
|
V130(1)
|
-.1115
|
.1535
|
.5281
|
1
|
.4674
|
.0000
|
.8945
|
V130(2)
|
.7440
|
.3649
|
4.1566
|
1
|
.0415
|
.0382
|
2.1043
|
V130(3)
|
-.5109
|
.9228
|
.3065
|
1
|
.5798
|
.0000
|
.6000
|
V130(4)
|
-.5066
|
.2440
|
4.3124
|
1
|
.0378
|
-.0395
|
.6025
|
V131
|
|
|
9.6026
|
8
|
.2940
|
.0000
|
|
V131(1)
|
-.1729
|
.2028
|
.7268
|
1
|
.3939
|
.0000
|
.8413
|
V131(2)
|
-.3902
|
.2962
|
1.7350
|
1
|
.1878
|
.0000
|
.6769
|
V131(3)
|
-.2394
|
.3035
|
.6219
|
1
|
.4303
|
.0000
|
.7871
|
V131(4)
|
-.8430
|
.4834
|
3.0409
|
1
|
.0812
|
-.0265
|
.4304
|
V131(5)
|
-.1428
|
.2541
|
.3159
|
1
|
.5741
|
.0000
|
.8669
|
V131(6)
|
.4494
|
.4223
|
1.1323
|
1
|
.2873
|
.0000
|
1.5674
|
V131(7)
|
.8681
|
.6162
|
1.9848
|
1
|
.1589
|
.0000
|
2.3825
|
V131(8)
|
.0611
|
.3603
|
.0288
|
1
|
.8653
|
.0000
|
1.0630
|
V136
|
|
|
2.1403
|
2
|
.3430
|
.0000
|
|
V136(1)
|
.0748
|
.1462
|
.2619
|
1
|
.6088
|
.0000
|
1.0777
|
V136(2)
|
.4473
|
.3097
|
2.0863
|
1
|
.1486
|
.0076
|
1.5641
|
V504
|
|
|
3.4897
|
2
|
.1747
|
.0000
|
|
V504(1)
|
-.3511
|
.2008
|
3.0571
|
1
|
.0804
|
-.0267
|
.7039
|
V504(2)
|
-5.7721
|
8.4317
|
.4686
|
1
|
.4936
|
.0000
|
.0031
|
V505
|
|
|
1.1709
|
2
|
.5569
|
.0000
|
|
V505(1)
|
-6.0319
|
8.4327
|
.5117
|
1
|
.4744
|
.0000
|
.0024
|
V505(2)
|
-5.8567
|
8.4314
|
.4825
|
1
|
.4873
|
.0000
|
.0029
|
V705
|
|
|
15.3828
|
6
|
.0175
|
.0478
|
|
V705(1)
|
-.4391
|
.2454
|
3.2000
|
1
|
.0736
|
-.0285
|
.6446
|
V705(2)
|
-.6928
|
.2954
|
5.5008
|
1
|
.0190
|
-.0487
|
.5002
|
V705(3)
|
-.3146
|
.2960
|
1.1300
|
1
|
.2878
|
.0000
|
.7301
|
V705(4)
|
-.3034
|
.2308
|
1.7282
|
1
|
.1886
|
.0000
|
.7383
|
V705(5)
|
-.1578
|
.2585
|
.3728
|
1
|
.5415
|
.0000
|
.8540
|
V705(6)
|
-.8470
|
.2411
|
12.3395
|
1
|
.0004
|
-.0836
|
.4287
|
FACTOR1
|
|
|
7.7778
|
3
|
.0508
|
.0347
|
|
FACTOR1(1)
|
.1863
|
.1689
|
1.2171
|
1
|
.2699
|
.0000
|
1.2048
|
FACTOR1(2)
|
-.3058
|
.2084
|
2.1534
|
1
|
.1423
|
-.0102
|
.7365
|
FACTOR1(3)
|
.2600
|
.1820
|
2.0416
|
1
|
.1531
|
.0053
|
1.2969
|
FACT1
|
|
|
.3084
|
2
|
.8571
|
.0000
|
|
Page 354
|
|
|
SPSS/PC+
|
|
|
|
10/20/ 8
|
FACT1(1)
|
.0596
|
.1728
|
.1190
|
1
|
.7302
|
.0000
|
1.0614
|
FACT1(2)
|
-.0565
|
.1760
|
.1032
|
1
|
.7480
|
.0000
|
.9450
|
ACCEGEO(1)
|
.0512
|
.2037
|
.0632
|
1
|
.8016
|
.0000
|
1.0525
|
V024
|
|
|
14.7182
|
3
|
.0021
|
.0768
|
|
V024(1)
|
-.9457
|
.3291
|
8.2589
|
1
|
.0041
|
-.0651
|
.3884
|
V024(2)
|
.2302
|
.3085
|
.5570
|
1
|
.4555
|
.0000
|
1.2589
|
V024(3)
|
-.1410
|
.2981
|
.2237
|
1
|
.6363
|
.0000
|
.8685
|
Constant
|
6.1518
|
8.4391
|
.5314
|
1
|
.4660
|
|
|
|