Study Details
Smith, Kim, et al. Interim Impacts of the Gender Matters Program. Mathematica Policy Research, Princeton, NJ: 2015b.
Smith, Kimberly V., Claire Dye, Dana Rotz, Elizabeth Cook, Kristina Rosinsky, and Mindy Scott. "Final Impacts of the Gender Matters Program." Princeton, NJ: Mathematica Policy Research, September 2016.
Gender Matters (GEN.M)
Program Information
Evaluation Setting
Study Sample
Research Design
754
1
18
NA = Not available. This means the authors did not report the information in the manuscripts associated with the studies we reviewed.
a This information was not available whenever authors did not report information for the treatment and comparison groups separately on outcome means, standard deviations, and/or sample sizes.
b Authors reported that the program effect (impact) estimate is statistically significant with a p-value of less than 0.05 based on a two-tailed test.
c For some outcomes, having less of that outcome is favorable. In those cases, an effect with a negative sign is favorable to the treatment group (that is, the treatment group had a more favorable outcome than the comparison group, on average).
d An effect shows credibly estimated, statistically significant evidence whenever it has a p-value of less than 0.05 based on a two-tailed test, includes the appropriate adjustment for clustering (if applicable), and it is not based on an endogenous subgroup.
Language directly from the program model developer or authors.