27.06.2013 Views

enseignement de base au niger :quel bilan - CONFEMEN

enseignement de base au niger :quel bilan - CONFEMEN

enseignement de base au niger :quel bilan - CONFEMEN

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Modèle V.5<br />

. reg STFIN5FM STINI5FM TCLASSE UTILIVRFR UTILIVMT APEACTIV CONSULCOLL INSPECTEUR<br />

CONSPEDAG RURAL DIRENSEIG , cluster(NUMECOLE)<br />

Regression with robust standard errors Number of obs = 1503<br />

F( 10, 118) = 26.94<br />

Prob > F = 0.0000<br />

R-squared = 0.3363<br />

Number of clusters (NUMECOLE) = 119 Root MSE = .81739<br />

------------------------------------------------------------------------------<br />

| Robust<br />

STFIN5FM | Coef. Std. Err. t P>|t| [95% Conf. Interval]<br />

-------------+----------------------------------------------------------------<br />

STINI5FM | .5579633 .0421525 13.24 0.000 .4744899 .6414367<br />

TCLASSE | .0017426 .0044538 0.39 0.696 -.0070772 .0105624<br />

UTILIVRFR | .0373048 .1170638 0.32 0.751 -.1945134 .2691229<br />

UTILIVMT | -.1235549 .1509856 -0.82 0.415 -.4225476 .1754377<br />

APEACTIV | -.0518607 .1049649 -0.49 0.622 -.2597197 .1559984<br />

CONSULCOLL | .0098271 .1214082 0.08 0.936 -.2305941 .2502484<br />

INSPECTEUR | -.0062278 .1700357 -0.04 0.971 -.3429447 .3304891<br />

CONSPEDAG | .0927049 .1168357 0.79 0.429 -.1386615 .3240713<br />

RURAL | -.1448353 .1337446 -1.08 0.281 -.4096861 .1200154<br />

DIRENSEIG | .1814145 .1141437 1.59 0.115 -.0446211 .4074501<br />

_cons | -.0989537 .2515744 -0.39 0.695 -.5971394 .399232<br />

------------------------------------------------------------------------------<br />

. vif<br />

Variable | VIF 1/VIF<br />

-------------+----------------------<br />

DIRENSEIG | 1.38 0.722614<br />

RURAL | 1.38 0.724864<br />

UTILIVRFR | 1.28 0.779994<br />

UTILIVMT | 1.19 0.838107<br />

TCLASSE | 1.19 0.842194<br />

CONSULCOLL | 1.17 0.853427<br />

CONSPEDAG | 1.13 0.887175<br />

APEACTIV | 1.08 0.926890<br />

INSPECTEUR | 1.06 0.944576<br />

STINI5FM | 1.05 0.950356<br />

-------------+----------------------<br />

Mean VIF | 1.19<br />

Il n’y a pas <strong>de</strong> colinéarité entre les variables <strong>de</strong> ce modèle. Cependant, le principal constat est<br />

qu’<strong>au</strong>cune <strong>de</strong> ces variables n’a d’effet significatif sur le score <strong>de</strong> fin d’année.<br />

5. Modèle global<br />

En prenant pour variables explicatives l’ensemble <strong>de</strong>s variables retenues dans les groupes <strong>de</strong><br />

variables précé<strong>de</strong>nt ; on obtient :<br />

Modèle V.6<br />

. reg STFIN5FM STINI5FM FILLE AGEPLUS REDOUB14 REDAN5 ENFTCONFIE ZEROPARALPHA<br />

NIVEAUVIE1 NIVEAUVIE3 AIDE LIV_FR LIV_MT MAITRFEM MTSEUL VOLONTAIRE DIPCYCLB<br />

NIVCYCLB MTPRECENS MTMOBILE MTAUTREACT ABSMT MTCHANGECO MTRESTENS MTCONCOUR TCLASSE<br />

UTILIVRFR UTILIVMT APEACTIV CONSULCOLL INSPECTEUR CONSPEDAG RURAL DIRENSEIG ,<br />

cluster(NUMECOLE)<br />

Regression with robust standard errors Number of obs = 1503<br />

F( 33, 118) = 21.53<br />

Prob > F = 0.0000<br />

111

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!