Psychology 3: Statistics for Psychology

Proof required

Link the public repo with a notebook that describes and plots an open psychology dataset: the notebook, the data (or a link to the open dataset) and a README saying what it shows.

What gets checked

• Every variable is described with the right summary.
• Plots are labelled and honest about scale.
• Odd-numbered exercises are checked against the book.

Common mistakes

• Results the files cannot reproduce.
• A summary of the reading instead of your own work.

Powstik Guide

A notebook that describes and plots an open psychology dataset.

Steps

1. Read the linked chapter and take the self-check.
2. Make a public repo.
3. Build the smallest version that works, then check it.
4. Write a README: the question, the method, what you found, the limits.
5. Ask someone who knows psychology to check it.

README
Course 3: Statistics for Psychology
Question:
Data (source, n, how it was collected):
Method:
Result:
Limits:

What gets sent back

• No data or no code.
• Data from people that breaks the rules above.
• Copied work with no history.

Resources

What a verifier looks for

• Every variable is described with the right summary.
• Plots are labelled and honest about scale.
• Odd-numbered exercises are checked against the book.
• Do the files produce what the README says?

You'll sign in first, then come straight back here.

Proof required

Link the public repo with a t-test or chi-square on open data, with the effect size, its confidence interval and a power note: the notebook, the data (or a link to the open dataset) and a README saying what it shows.

What gets checked

• The test fits the data.
• The effect size and interval are reported, not just p.
• Assumptions are checked.

Common mistakes

• Results the files cannot reproduce.
• A summary of the reading instead of your own work.

Powstik Guide

A t-test or chi-square on open data, with the effect size, its confidence interval and a power note.

Steps

1. Read the linked chapter and take the self-check.
2. Make a public repo.
3. Build the smallest version that works, then check it.
4. Write a README: the question, the method, what you found, the limits.
5. Ask someone who knows psychology to check it.

README
Course 3: Statistics for Psychology
Question:
Data (source, n, how it was collected):
Method:
Result:
Limits:

What gets sent back

• No data or no code.
• Data from people that breaks the rules above.
• Copied work with no history.

Resources

What a verifier looks for

• The test fits the data.
• The effect size and interval are reported, not just p.
• Assumptions are checked.
• Do the files produce what the README says?

You'll sign in first, then come straight back here.

Proof required

Link the public repo with a multiple regression on open data with diagnostics and a plain-language summary: the notebook, the data (or a link to the open dataset) and a README saying what it shows.

What gets checked

• Coefficients are interpreted correctly.
• Diagnostics are shown and discussed.
• The summary does not claim cause from correlation.

Common mistakes

• Results the files cannot reproduce.
• A summary of the reading instead of your own work.

Powstik Guide

A multiple regression on open data with diagnostics and a plain-language summary.

Steps

1. Read the linked chapter and take the self-check.
2. Make a public repo.
3. Build the smallest version that works, then check it.
4. Write a README: the question, the method, what you found, the limits.
5. Ask someone who knows psychology to check it.

README
Course 3: Statistics for Psychology
Question:
Data (source, n, how it was collected):
Method:
Result:
Limits:

What gets sent back

• No data or no code.
• Data from people that breaks the rules above.
• Copied work with no history.

Resources

What a verifier looks for

• Coefficients are interpreted correctly.
• Diagnostics are shown and discussed.
• The summary does not claim cause from correlation.
• Do the files produce what the README says?

You'll sign in first, then come straight back here.