[PDF] L’analyse de régression logistique - := TQMPORG



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Julie

ȱDesjardinsȱ

UniversitéȱdeȱMontréalȱ

desȱrapportsȱdeȱcote.ȱ function technic results l'absence

étude

telles interpersonnelles

2000).ȱȱ

Équation

ȱutiliséeȱ:ȱ

ȱȱ36ȱ

jusqu'à

Distinctions

cette logistique continues.

Toutefois,

il modélisationȱ tient

Modèleȱexplicatifȱ

étude

potentiellement (Bernard,ȱP.,ȱ2003).ȱ

ȱȱ37ȱ

Modèleȱprédictifȱ

Modèleȱdescriptifȱ

meilleurs cette meilleurs explicatifs,

Ascendante

Limitesȱdeȱcetteȱtechniqueȱ

logistique période

2000).ȱȱ

UtilisationȱavecȱSPSSȱ

Miseȱenȱsituationȱ

L'exemple

l'exemple

Éléments

ȱȱ38ȱ

l'étude.ȱȱ choisies conséquence

LogicielȱSPSSȱȱ

parȱ0.ȱ

Laȱsyntaxeȱrequiseȱseȱprésenteȱcommeȱsuitȱ:ȱȱȱLOGISTIC REGRESSION VAR=groupe

/METHOD=ENTER sexe age /METHOD=FSTEP(COND) at_anxd at_ppen at_patt at_cdel at_inte at_ext /CONTRAST (sexe)=Indicator /CRITERIA PIN(.05) POUT(.10) ITERATE(20) CUT(.5) potentiellement

Ensuite,

Interprétationȱ

itemsȱsuivantsȱ:ȱ celui domaine

ȱȱ39ȱ

cas. procède ratio») groupe.ȱȱ pensée (Morgan,ȱ2003).ȱ unȱarticleȱ:ȱȱ d'être s'applique

References

Bernard,

humaines andȱBacon.ȱ

ReceivedȱMayȱ1,ȱ2005ȱ

AcceptedȱSeptemberȱ25,ȱ2005ȱ

ȱȱ40ȱ

LogisticȱRegressionȱ

Case Processing Summary

10198,1

21,9

103100,0

0,0

103100,0

Unweighted Cases

a

Included in Analysis

Missing Cases

Total

Selected Cases

Unselected Cases

Total

NPercent

If weight is in effect, see classification table for the total number of cases.a.

Dependent Variable Encoding

0 1

Original Value

médicamentés 1,00

Internal Value

Categorical Variables Codings

601,000

41,000

Masculin

Féminin

Sexe:

Frequency(1)

Paramete

Blockȱ0:ȱBeginningȱBlockȱ

Classification Table

a,b

570100,0

440,0
56,4

Observed

médicamentés 1,00 groupe des sujets

Overall Percentage

Step 0

médicam entés 1,00 groupe des sujets

Percentage

Correct

Predicted

Constant is included in the model.a.

The cut value is ,500b.

Variables in the Equation

-,259,2011,6641,197,772ConstantStep 0

BS.E.WalddfSig.Exp(B)

Variables not in the Equation

2,4901,115

2,7311,098

5,1632,076

SEXE(1)

AGE

Variables

Overall Statistics

Step 0

ScoredfSig.

Blockȱ1:ȱMethodȱ=ȱEnterȱ

Omnibus Tests of Model Coefficients

5,2782,071

5,2782,071

5,2782,071

Step Block Model

Step 1

Chi-squaredfSig.

Model Summary

133,060,051,068

Step 1 -2 Log likelihoodCox & Snell

R SquareNagelkerke

R Square

Classification Table

a

411671,9

251943,2

59,4

Observed

médicamentés 1,00 groupe des sujets

Overall Percentage

Step 1

médicam entés 1,00 groupe des sujets

Percentage

Correct

Predicted

The cut value is ,500a.

ȱȱ41ȱ

Variables in the Equation

,667,4242,4711,1161,949 -,264,1612,6811,102,768

3,3302,4481,8511,17427,951

SEXE(1)

AGE

Constant

Step 1 a

BS.E.WalddfSig.Exp(B)

Variable(s) entered on step 1: SEXE, AGE.a.

Omnibus Tests of Model Coefficients

10,6791,001

10,6791,001

15,9573,001

4,2891,038

14,9682,001

20,2464,000

Step Block Model Step Block Model

Step 1

Step 2

Chi-squaredfSig.

Model Summary

122,380,146,196

118,091,182,244

Step 1 2 -2 Log likelihoodCox & Snell

R SquareNagelkerke

R Square

Classification Table

a

471082,5

222250,0

68,3

441377,2

172761,4

70,3

Observed

médicamentés 1,00 groupe des sujets

Overall Percentage

médicamentés 1,00 groupe des sujets

Overall Percentage

Step 1

Step 2

médicam entés 1,00 groupe des sujets

Percentage

Correct

Predicted

The cut value is ,500a.

Variables in the Equation

,973,4644,4031,0362,647 -,361,1774,1651,041,697 ,087,0289,2781,0021,091 -,7932,890,0751,784,453 ,897,4733,6001,0582,451 -,349,1803,7371,053,706 ,100,03011,2331,0011,105 -,044,0224,0111,045,957

1,3663,129,1911,6623,922

SEXE(1)

AGE

AT_PPEN

Constant

Step 1 a

SEXE(1)

AGE

AT_PPEN

AT_CDEL

Constant

Step 2 b

BS.E.WalddfSig.Exp(B)

Variable(s) entered on step 1: AT_PPEN.a.

Variable(s) entered on step 2: AT_CDEL.b.

Model if Term Removed

a -66,55610,7321,001 -65,68213,2721,000 -61,2024,3131,038

Variable

AT_PPENStep 1

AT_PPEN

AT_CDEL

Step 2

Model Log

Likelihood

Change in

-2 Log

Likelihood

df

Sig. of the

Change

Based on conditional parameter estimatesa.

Variables not in the Equation

,0671,796

1,5331,216

4,1681,041

7,3153,063

,0971,756

3,3621,067

3,3632,186

AT_ANXD

AT_PATT

AT_CDEL

Variables

Overall Statistics

Step 1

AT_ANXD

AT_PATT

Variables

Overall Statistics

Step 2

ScoredfSig.

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