Monday– Classes from 2-7 PM Berlin time

Part 1

 

Lecture: Introduction to systematic reviews and meta-analysis

Lecture: Effect sizes and confidence intervals

Exercise 1

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Part 2

 

Lecture: Sampling error and meta-analysis models

Lecture: Fitting meta-analysis models in R with metafor and psychmeta

Exercise 2      

 

 

Tuesday– Classes from 2-7 PM Berlin time

 

Part 1

 

Lecture: Artefacts beyond sampling error: Measurement error and selection bias

Lecture: Moderator analysis and meta-regression

Exercise 3

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Part 2

 

Lecture: Heterogeneity in effects

Lecture: Presenting and interpreting meta-analysis results

Exercise 4

 

 

 

Wednesday– Classes from 2-7 PM Berlin time

 

Part 1

 

Lecture: Model diagnostics – assumptions, residuals, influential studies

Exercise 5

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Part 2

 

Lecture: Publication bias

Exercise 6

 

 

Thursday– Classes from 2-7 PM Berlin time

 

Part 1

 

Lecture: The systematic review process

Lecture: Reporting and presenting meta-analyses transparently

Exercise 7

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Part 2

 

Refresher, Q&A, Meta-analysis reading practice