BI Pre-registration form - Observatory of Public Sector Innovation

Intro
General information
Methods
Analysis Plan
Review and Collaboration
Finish

Intro

What is this form?

Here you can submit a pre-registration of a project applying behavioural science to public policy. Pre-registration is a good practice when applying BI to public policy and when evaluating applications as it allows to prevent post-hoc interpretation of data and publication bias. To learn more about pre-registration principles, please check [link]

What will happen to my submission?

Your submission will be collected for the public good as a resource for behavioural science practitioners that will feed in a public repository of case studies. You will be able to choose whether you want the details of your project not to appear on the public pre-registration or the date when you eventually want it to be made public. By completing the submission, you agree to the OECD’s Terms of Service and Privacy Policy.

Who can use this?

People who have applied behavioural insights to public policy.

Who should you contact for further information?

Dr Chiara Varazzani (Chiara.Varazzani@oecd.org)

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Analysis Plan

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Analysis Plan

Optional if not experimental.

Pre-analysis plan wrapper

Pre-analysis file wrapper

Please attach your pre-analysis plan

Optional. Files must be under ##MB.

File name:

File size:

Include this in the public version? *

Yes
No
Hide until embargo date

Hypothesis wrapper

Hypothesis *

Required. What's the main question being asked or the main hypotheses being tested in this study? Example: A reminder leveraging social norm will reduce sharing misinformation online.

Include this in the public version? *

Yes
No
Hide until embargo date

Test hypothesis wrapper

How will your hypothesis be tested? *

Required. Example: 4 conditions in a mixed design lab and field study. Participants will be assigned to one of four conditions: social norms, accuracy prompting, information provision or control.

Include this in the public version? *

Yes
No
Hide until embargo date

Dependent variables wrapper

Dependent variables *

Required. Describe the key dependent variable(s) specifying how they will be measured. List all outcome variables for which analysis is planned. Specify which outcomes are primary outcomes and which are secondary outcomes. Specify which outcomes are in the raw data and which outcomes will be created.

Include this in the public version? *

Yes
No
Hide until embargo date

Analyses wrapper

Analyses *

Required. Specify exactly which analyses you will conduct to examine the main question/hypothesis.

Include this in the public version? *

Yes
No
Hide until embargo date

Sample Size Wrapper

Sample Size. How many observations will be collected or what will determine sample size?

Optional. No need to justify decision, but be precise about exactly how the number will be determined.

Include this in the public version? *

Yes
No
Hide until embargo date

Power analysis. Was a power analysis conducted prior to data collection?

Optional.

Third Party wrapper

Does a third party implement the intervention or is this a collaboration with another team?

Optional. If a third party or collaboration, please provide the name.

Include this in the public version? *

Yes
No
Hide until embargo date

Data Exclusion

Optional. Describe criteria you will use to determine whether any observations should be excluded from analysis (e.g., values that are likely data-recording errors, outliers, etc.).

Treatment of Missing Data

Optional. How will you deal with incomplete or missing data (e.g. pairwise or listwise deletion, imputation, interpolation)?

Analysis Code/Script

Optional. Provide a link to your analysis script. This OPTIONAL step is helpful in order to create a process that is completely transparent and increase the likelihood that your analysis can be replicated. We recommend that code include clear commenting that is interpretable without extensive prior knowledge of the project. We recommend that you run the code on a simulated dataset in order to check that it will run without errors.

Post-Commitment Adjustments

Optional. In this section, record any adjustments made to the Analysis Plan subsequent to the Analysis Plan Commitment gate. For every adjustment, record its rationale, whether it was made before or after receipt of outcome data, and whether results can be reported as planned/confirmatory (versus exploratory).

Additional Documentation wrapper

Additional Documentation

Optional. Please attach any files associated with this registration (e. .g. survey instrument). Files must be under ##MB)

	Files
1	File name: File size:
1	File name: File size:

Add File

Include this in the public version? *

Yes
No
Hide until embargo date

External link

Optional. Link to your website/webpage with information about your project.

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Using the “save” option will save the data you have entered and allow you to return to data entry immediately or at a later time. You can click on previously completed sections in the sidebar to navigate back to them in order if you wish to revise your entry. If you have any problems, please contact us at opsi@oecd.org (include a screenshot if possible).

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BI Project status

Completed
Pre-registration

Project Latitude and Longitude

Two numeric values divided by comma, e.g. 3.2, 73.22

Pre-register your BI Project

What is this form?

What will happen to my submission?

Who can use this?

Who should you contact for further information?

General information

How are the hypothesis tested?- Methods

Analysis Plan

Review and Collaboration