The importance of good evaluation design, and how the design stage can be used to prevent problems that are much harder to fix using statistical methods at the analysis stage;
Key problems with data collection that can arise when conducting an impact analysis. In particular, low survey response rate and social desirability bias;
Internal and external validity and the extent to which these are threatened by problems with data collection; AND
Statistical power: the consequences of having insufficient power, and the importance of estimating statistical power of evaluation design at the outset.
PART 1: Provide a detailed and critical policy assessment of this evaluation gone awry, and what can be learned from this to be better analysts–Be specific about what you would do to do a better analysis. Make sure to draw on readings from previous
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