Reproducible research is the system of documenting and publishing results of an impact evaluation.
Reproducible Research
Data publication is the release of data and data documentation following data collection and analysis. Data publication is an increasingly common standard that bolsters research transparency and reproducibility.
Randomization is a critical step for ensuring exogeneity in experimental methods and randomized control trials (RCTs).
Randomization is a critical step for ensuring exogeneity in experimental methods and randomized control trials (RCTs).
Researchers use Stata in all stages of an impact evaluation (or study), such as sampling, randomizing, monitoring data quality,
Impact evaluation teams (or research teams) often work with, or have access to, datasets that contain sensitive or personal identifiable information (PII) on individuals.
A data map is a template designed by DIME Analytics for organizing the 3 main aspects of data work: data analysis, data cleaning, and data management.
The master do-file is the main do-file that calls upon and runs all the other do-files of a project. It plays a critical role throughout all stages of the research project and functions as a map to the data folder. This page outlines the components of a well-structured and replicable master do-file.
Optimal Design is free software designed by University of Michigan. It provides a useful platform on which researchers can visualize the relationship between different elements of the sample size formula when conducting power calculations during the research design stage. This page provides a general overview of and additional resources for Optimal Design.
Researchers use Stata in all stages of an impact evaluation (or study), such as sampling, randomizing, monitoring data quality,