Policy Challenge
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Program Type
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30
5
8
Management Skills
Gestión Contabilidad (sENS)
39
21
Evaluación Efecto Edad promedio Observaciones Evaluación experimental País Intervención
Calderon 2020 6 46.04 948 Si México Componentes entrenados: Gestión + Contabilidad
Dammert 2019 i 33 40.43 529 Si Liberia Componentes entrenados: Gestión + Contabilidad
Drexler 2014 ii 31 40.2 527 Si República Dominicana Componentes entrenados: Gestión + Contabilidad
Anderson 2022 iii 32 37.7 269 Si Nigeria Componentes entrenados: Gestión + Contabilidad
Anderson 2022 iv 35 37.7 267 Si Nigeria Componentes entrenados: Gestión + Contabilidad
Higuchi 2019 ii 22 45.9 178 Si Tanzania Componentes entrenados: Gestión + Contabilidad
Higuchi 2019 iii 49 44.5 175 Si Tanzania Componentes entrenados: Gestión + Contabilidad
Higuchi 2019 i 47 44.9 163 Si Tanzania Componentes entrenados: Gestión + Contabilidad

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 (%)
Anderson 2022 iii 32 14 50 11
Anderson 2022 iv 35 17 53 11
Calderon 2020 6 -4 16 16
Dammert 2019 i 33 21 44 15
Drexler 2014 ii 31 16 45 13
Higuchi 2019 i 47 28 65 11
Higuchi 2019 ii 22 5 39 12
Higuchi 2019 iii 49 31 67 11
Overall