enseignement de base au niger :quel bilan - CONFEMEN
enseignement de base au niger :quel bilan - CONFEMEN
enseignement de base au niger :quel bilan - CONFEMEN
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ANNEXE VI : Modèles explicatifs <strong>de</strong> la satisfaction<br />
professionnelle <strong>de</strong>s enseignants<br />
1) Choix du même métier<br />
Pour apprécier la satisfaction professionnelle <strong>de</strong>s enseignants, nous nous intéressons dans un<br />
premier temps à la variable indiquant que le maître souhaite conserver le même métier.<br />
Examinons les déterminants <strong>de</strong> cette variable.<br />
Modèle VI.1<br />
Probit estimates Number of obs = 240<br />
LR chi2(14) = 26.30<br />
Prob > chi2 = 0.0237<br />
Log likelihood = -149.1507 Pseudo R2 = 0.0810<br />
------------------------------------------------------------------------------<br />
MTREST~S | dF/dx Std. Err. z P>|z| x-bar [ 95% C.I. ]<br />
---------+--------------------------------------------------------------------<br />
MAITRFEM*| .099684 .0784834 1.27 0.202 .666667 -.054141 .253509<br />
MTSEUL*| .0606409 .08541 0.70 0.484 .225 -.10676 .228041<br />
VOLONT~E*| .0947247 .0758723 1.23 0.217 .391667 -.053982 .243432<br />
DIPCYCLB*| -.13634 .0884269 -1.55 0.122 .25 -.309654 .036974<br />
NIVCYCLB*| -.0862246 .0803427 -1.08 0.282 .375 -.243693 .071244<br />
MTMOBILE*| .1060635 .0853731 1.20 0.231 .175 -.061265 .273392<br />
DOUBLFLX*| -.061567 .124361 -0.50 0.617 .083333 -.30531 .182176<br />
MTAUTR~T*| -.1688111 .0737852 -2.28 0.023 .333333 -.313427 -.024195<br />
APEACTIV*| .0397712 .0672438 0.59 0.555 .4875 -.092024 .171567<br />
CONSPE~G*| .0895214 .0678131 1.31 0.192 .391667 -.04339 .222433<br />
MTCONC~R*| .0506048 .1056794 0.48 0.629 .875 -.156523 .257733<br />
RURAL*| .1042495 .0812131 1.25 0.210 .295833 -.054925 .263424<br />
MTCHAN~O*| -.0160191 .0715721 -0.22 0.823 .383333 -.156298 .12426<br />
ABSMT | -.0236604 .0113301 -2.09 0.037 1.37917 -.045867 -.001454<br />
---------+--------------------------------------------------------------------<br />
obs. P | .5916667<br />
pred. P | .5985034 (at x-bar)<br />
------------------------------------------------------------------------------<br />
(*) dF/dx is for discrete change of dummy variable from 0 to 1<br />
z and P>|z| are the test of the un<strong>de</strong>rlying coefficient being 0<br />
Les variables RURAL et VOLONTAIRE sont liées :<br />
| VOLONTAIRE<br />
RURAL | 0 1 | Total<br />
-----------+----------------------+----------<br />
0 | 109 60 | 169<br />
1 | 37 34 | 71<br />
-----------+----------------------+----------<br />
Total | 146 94 | 240<br />
Pearson chi2(1) = 3.2183 Pr = 0.073<br />
On remplace la variable RURAL par TAILLECO qui correspond <strong>au</strong> nombre d'élèves dans<br />
l'établissement.<br />
. ttest TAILLECO, by(RURAL)<br />
Two-sample t test with equal variances<br />
124
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