Syllabus

Lecture 1

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RCT - Start to Finish

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Lecture 2

Why Randomize?

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Lecture 3


Lecture 4



Lecture 5



Lecture 6



Lecture 7



Lecture 8



Lecture 9 and Lecture 10



Lecture 11


Lecture 12



Lecture 13


Lecture 14


Lecture 16



How to Randomize?

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mechanics of randomization

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ETHICS

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Specifying Outcomes with Examples from Health

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Field Testing Indicators and Measuring Education

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Measuring Empowerment, Social Desirability Bias, and Non-Survey Instruments

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Sample Size and Power

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Threats to a Valid Experiment

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Analysis

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Machine learning

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Pre-Analysis Plans and Cost-Effectiveness

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Generalizability

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