Policy Challenge
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Program Type
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2
3
3
Enrollment In Secondary
Orientación, coaching e información (sES)
6
-2
Evaluación Efecto Edad promedio Observaciones Evaluación experimental País Intervención
Loyalka 2013 -2 Grado 7 11,633 Si China Capacitación de los profesores y directores sobre como asesorar a los alumnos a elegir carreras
Jensen 2010 4 Grado 8 2,241 Si República Dominicana Los alumnos fueron informados sobre retornos a la educación
Goux 2015 5 Grado 8 1,130 Si Francia Los directores discutieron con las familias la elección de la especialización de sus hijos

Graph of Effects

This graph shows the effects of [Number of Evaluations] evaluations of [Program Type] programs. The first evaluation, [Evaluation name 1], estimated an effect of [Estimated effect Eval. 1] points (graphed with the top grey circle). Because this is an estimate, there is uncertainty about what the true effect is. But we know that the true effect will probably lie between a low value of [True effect lie between – Low value, Eval. 1] and a high value of [True effect lie between – High value, Eval. 1] (graphed with the top horizontal line). We can combine the estimates from all the evaluations and compute an average effect of [Estimated effect, Average] (graphed with the black circle). There is also uncertainty about where the true average effect is. But we know that the true average effect probably lies between [True effect lie between – Low value, Average] and [True effect lie between – High value, Average] points (graphed with the bottom horizontal line).
Evaluación Efectos Valor Mínimo Valor Máximo Peso en el efecto promedio (%)
Goux 2015 5 1 9 30
Jensen 2010 4 0 8 30
Loyalka 2013 -2 -3 -1 39
Overall