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EA market testing (public)
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Introduction/overview
Introduction & explanation
👋
Meet the team
📕
Content overview
Progress/goals (early 2023)
🤝
Partners, contexts, trials
Introduction
Giving What We Can
One For the World (OftW)
The Life You Can Save (TLYCS)
Fundraisers & impact info.
University/city groups
Workplaces/orgs
Other partners
Related/relevant projects/orgs
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Marketing & testing: opportunities, tools, tips
Testing Contexts: Overview
Implementing ads, messages, designs
Collecting outcome data
Trial reporting template
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Research Design, methodology
Methods: Overview, resources
"Qualitative" design issues
Real-world assignment & inference
Geographic segmentation/blocked randomization
Difference in difference/'Time-based methods'
Facebook split-testing issues
Simple quant design issues
Adaptive design/sampling, reinforcement learning
'Observational' studies: issues
Analysis: Statistical approaches
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Profiling and segmentation project
Introduction, scoping work
Existing work/data
Fehr/SOEP analysis... followup
Further approaches in progress
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(In)effective Altruistic choices: Review of theory and evidence
Introduction...
The challenge: drivers of effective/ineffective giving
Models, theories, psych. norms
Tools and trials: overview
Appendix
How this 'gitbook' works
Literature: animal advocacy messaging
Charity ratings, rankings, messages
"A large-scale online experiment" (participants-aware)
Innovationsinfundraising.org
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Real-world assignment & inference
Geographic blocks versus individuals How to block/stratify
See
Geographic segmentation/blocked randomization
for a mainly theoretical discussion of this
Facebook split-testing issues
for how to do split testing on Facebook, and the limits to traditional design given their setup
Research Design, methodology - Previous
"Qualitative" design issues
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Geographic segmentation/blocked randomization
Last modified
1yr ago