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 IV : Modèles explicatifs du score <strong>de</strong> fin d’année <strong>au</strong><br />
CP<br />
1. Régression sur le score initial<br />
Modèle IV.1<br />
. reg STFIN2FM STINI2FM, cluster(NUMECOLE)<br />
Regression with robust standard errors Number of obs = 1465<br />
F( 1, 122) = 99.71<br />
Prob > F = 0.0000<br />
R-squared = 0.2867<br />
Number of clusters (NUMECOLE) = 123 Root MSE = .84488<br />
------------------------------------------------------------------------------<br />
| Robust<br />
STFIN2FM | Coef. Std. Err. t P>|t| [95% Conf. Interval]<br />
-------------+----------------------------------------------------------------<br />
STINI2FM | .5354037 .0536172 9.99 0.000 .4292632 .6415443<br />
_cons | -2.22e-09 .0560475 -0.00 1.000 -.1109516 .1109516<br />
------------------------------------------------------------------------------<br />
Le score initial explique 29% <strong>de</strong> la variance du score final.<br />
2. Rajoutons les caractéristiques élèves<br />
Modèle IV.2<br />
. reg STFIN2FM STINI2FM FILLE AGEPLUS ENFTCONFIE NIVEAUVIE1 NIVEAUVIE3 REDAN1<br />
REDAN2 LIV_FR LIV_MT AIDE , cluster(NUMECOLE)<br />
Regression with robust standard errors Number of obs = 1465<br />
F( 11, 122) = 19.06<br />
Prob > F = 0.0000<br />
R-squared = 0.3170<br />
Number of clusters (NUMECOLE) = 123 Root MSE = .82954<br />
------------------------------------------------------------------------------<br />
| Robust<br />
STFIN2FM | Coef. Std. Err. t P>|t| [95% Conf. Interval]<br />
-------------+----------------------------------------------------------------<br />
STINI2FM | .5125717 .0531544 9.64 0.000 .4073472 .6177962<br />
FILLE | -.0350473 .0546331 -0.64 0.522 -.1431991 .0731045<br />
AGEPLUS | -.0386592 .0811782 -0.48 0.635 -.1993597 .1220412<br />
ENFTCONFIE | .0264821 .0752824 0.35 0.726 -.122547 .1755111<br />
NIVEAUVIE1 | -.0117199 .0806097 -0.15 0.885 -.1712948 .147855<br />
NIVEAUVIE3 | .0714998 .0939155 0.76 0.448 -.1144154 .2574149<br />
REDAN1 | -.0190757 .0866041 -0.22 0.826 -.1905172 .1523658<br />
REDAN2 | -.2316209 .0777925 -2.98 0.004 -.3856188 -.0776229<br />
LIV_FR | .2995339 .0739017 4.05 0.000 .153238 .4458298<br />
LIV_MT | .1042284 .0609339 1.71 0.090 -.0163964 .2248531<br />
AIDE | .0022793 .0766155 0.03 0.976 -.1493887 .1539474<br />
_cons | -.0461867 .0784118 -0.59 0.557 -.2014106 .1090372<br />
------------------------------------------------------------------------------<br />
Le modèle ne présente pas <strong>de</strong> multi colinéarités. Ré estimons le en ne conservant que les<br />
variables dont le nive<strong>au</strong> <strong>de</strong> significativité est inférieur à 0.80.<br />
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