Summary
Difficulty: ★★☆☆☆
Covers: WEIRD samples and cultural bias, generalisability and external validity, inclusive demographic measurement , replication crisis, open science best practices (preregistration, open data/code, transparency, replication), effect size vs p-values
What Is ‘Best Practice’?
Psychological science aims to understand real human behaviour.
To do this well, research must be:
- Careful
- Transparent
- Replicable
- Representative
Why Is This Important?
Finding a statistically significant result does not mean:
- It applies to everyone
- It applies everywhere
- It justifies extreme conclusions
Culture and WEIRD Psychology
What is WEIRD?
WEIRD = Western, Educated, Industrialised, Rich, Democratic
- Most psychology research uses Western university students
- Especially American college students
- These samples are not representative of the world
Why This Is a Problem
Psychology often assumes findings are universal, but:
- Many effects do not generalise across cultures
- Behaviour can differ by:
- Culture
- Gender
- Socioeconomic background
- Country
- Community norms
Note: External validity matters.
Example: Self-Serving Bias
- Western samples show strong self-serving bias
- Some non-Western cultures:
- Show weaker bias
- Or even self-effacing bias
- What looks “normal” in one culture may not be universal.
What Can We Do About WEIRD Bias?
- Study broader, more diverse samples
- Replicate studies across:
- Cultures
- Genders
- Contexts
- Be cautious when making universal claims about “human nature”
How Do We Measure Gender Demographics Properly
Old Problems
- Early psychology often:
- Didn’t measure gender at all
- Assumed “male” as default
- Ignored diversity
Modern Understanding
- Gender is not binary
- Many cultures recognise more than two genders
- Measuring gender poorly leads to:
- Misclassification
- Invalid conclusions
- Harmful outcomes
Best Practice for Gender Measurement
- Use inclusive options
- Allow:
- Open-ended responses
- Multiple categories
- Be transparent about:
- What was measured
- What was not analysed
- Limitations
The Replication Crisis
What Is the Replication Crisis?
Many famous psychology findings:
- Fail to replicate
- Show much smaller effects when repeated
- Or disappear entirely
Replication = doing the same study again to see if the result holds.
Why Replication Matters
- One study ≠ truth
- Improves reliability
- Results can occur due to:
- Random chance
- Sampling variability
- Methodological flaws
Why Do Studies Fail to Replicate?
Common Reasons
- Questionable research practices
- Trying many analyses
- Only reporting significant results
- Small sample sizes
- Effects look bigger than they really are
- File drawer problem
- Null results aren’t published
- P-hacking
- Searching for any significant p-value
Effect Size vs Statistical Significance
- p-value: “Is there some evidence of an effect?”
- Effect size: “How big is the effect?”
Important notes:
- Large samples → small p-values
- Small effects can be statistically significant
- Good science reports both
Best Practices in Psychological Science
Core Principles
Good research involves:
- Planning well
- Conducting studies carefully
- Reporting everything transparently
Key Best-Practice Tools
1. Preregistration
- Write your hypotheses and analysis plan before collecting data
- Reduces flexibility and bias
2. Open Data & Open Code
- Share:
- Data
- Analysis scripts (.do files in Stata)
- Allows:
- Error checking
- Replication
- Meta-analysis
3. Open Access Publishing
- Research available to everyone
- Reduces publication bias
- But quality still needs evaluation
4. Replication
- True effects should appear again and again
- Across samples and contexts
5. Use Effect Sizes
- Don’t rely on p-values alone
- Consider practical importance
Best Practice For Graphs
Good graphs should be:
Clear and Honest
- No unnecessary colours
- No 3D or distortions
- No clutter
Properly Labelled
- Clear title
- Meaningful axis labels
- Units included
Not Misleading
- Axes should start at 0 (or clearly indicate otherwise)
- Show variability (error bars, jitter, trends)
So Overall…
- Psychology is complex because people are complex
- Bias cannot be removed entirely — but it can be reduced
- Science improves through:
- Transparency
- Replication
- Better methods