# [Research Design Form]{#designform}
## Section 1: Introduction
| Subsection | Notes |
|---------- |:-------------: |
| 1. Researcher name | Your name |
| 2. Research project title | Short title |
| 3. One sentence summary of research question | Jargon free |
| 4. Substantive motivation: [half page] | Why should anyone care about the results of this research? |
| 5. Theoretical motivation [half page] | What theoretical questions can this research shed light on? |
| 6. Key literatures | List 3 or 4 readings that this work will speak to. |
| 7. Primary hypothesis | Short title |
| 8. Estimand | What is your estimand? (e.g., average treatment effect) |
## Section 2: Treatment
| Subsection | Notes |
|---------- |:-------------: |
| 9. Treatment (X) | What is your treatment(s) |
| | Single or multiple treatment arms?
| | Placebo or pure control?
| | At what level do you randomize?
| 10. Implementation | How will you track compliance and implementation quality? |
## Section 3: Outcome
| Subsection | Notes |
|---------- |:-------------: |
| 11. Outcomes (Y) |What are your primary outputs and outcome of interest. |
|| Describe and define them |
|| What data is needed? |
|| What are the units at which you measure your outcomes (e.g. Individuals? Communities? Schools?). |
|| What data sources (admin data, surveys, games, other), and number of data collection rounds. |
| 12 Priors | |
|| What is the mean and SD of your outcome(s)? |
|| This will require insights from other studies and or your own data. |
## Section 4: Identification Strategy
| Subsection | Notes |
|---------- |:-------------: |
| 13. Identification | What type of identification strategy will you use? |
|| Random assignment simple; complete; blocked; cluster; factorial two level; phase in |
## Section 5: Sample, Data, & Implementation Strategies
| Subsection | Notes |
|---------- |:-------------: |
| 14. Sample | What is your sampling frame? How will you select your sample? |
| 15. Heterogeneity | Do you expect the treatment to work differently for certain individuals / groups / communities? |
|| Describe which. Think about blocking on those variables.
| 16. Implementation Strategy | How are you implementing your treatment? |
||Implementing partners involved? |
|| Are there ethical concerns? |
|| Logistical challenges? |
## Section 6: Power
| Subsection | Notes |
|---------- |:-------------: |
| 17. Effect Size | What is your expected effect size? |
|| what effect size do you want your experiment to show? |
|| what effect sizes have similar studies found? |
| 18. Intra-Cluster Correlation (ICC) | If you have clusters, what are they? |
|| What is the intra cluster correlation? |
|| This requires insights from previous studies or representative data |
| 19. Power Calculation | What is your power? |
|| If you want to calculate your sample size, given expected effect: use egap.org/power or STATA/R. |
|| If you want to calculate effect size, given a maximum sample: use STATA/R. |
|| Take into account type outcome (binary, continuous) and clustering (icc) if needed. |
## Section 7: Analysis & Threats
| Subsection | Notes |
|---------- |:-------------: |
| 20. Analysis strategy | How will you draw conclusions from your evidence? |
|| What is your estimator? (e.g a difference in means, OLS regression with block dummies, any clustering?) |
|| Note, this is closely linked to your randomization design |
| 21. Interpretation strategy | Summarize the substantive conclusions you will draw from your analysis? Describe the conclusions both for the case where you do find and where you do not find what you expect to find. |
| 22. Threats to internal validity | Note especially any key assumptions in identification of measurement strategies |
|| Think about compliance, attrition and spillovers (and its channels) |
|23. Threats to external validity | Note especially any key scope conditions (think about representativeness of the sample)|