STAT 1103 Week 12 Notes: Best Practice In Psychological Science

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
  1. Questionable research practices
    • Trying many analyses
    • Only reporting significant results
  2. Small sample sizes
    • Effects look bigger than they really are
  3. File drawer problem
    • Null results aren’t published
  4. 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:

  1. Planning well
  2. Conducting studies carefully
  3. 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

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