Policy Challenge
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Program Type
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4
2
4
Learning In Primary
Managers development (eLP)
8
1
Evaluation Effect Average Age Observations Experimental Evaluation Country Intervention
Glewwe 2011 i -4 Grade 3 14,288 Yes Madagascar District heads received tools and training on management
Glewwe 2011 ii -6 Grade 3 10,155 Yes Madagascar Sub-district heads received tools and training on management
Glewwe 2011 iii 9 Grade 3 9,528 Yes Madagascar Teachers and principals received tools on management
Carlson 2011 5 Grade 7 519 Yes United States Administrators were trained on using test data for planning purposes

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).
Evaluation Effects Low Value High Value Weight in Average Effect (%)
Carlson 2011 5 1 8 95
Glewwe 2011 i -4 -23 16 2
Glewwe 2011 ii -6 -25 13 2
Glewwe 2011 iii 9 -10 29 2
Overall