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Prolific
π Prolific's Best Practice Guide
π Prolific's Best Practice Guide
Our guide on how to do great research online (and offline!)
Phase 1: Questions to ask before creating a study
What research question do I want to answer? And why?
Am I doing exploratory or confirmatory research? Why does it matter?
What is my target population?
What type of data do I need? Quantitative or Qualitative?
How large should my sample be?
Preregistering your research
Phase 2: Things to keep in mind when designing a study
How to phrase questions and items
Special focus: Sensitive questions
The order of your questions
Tips for the visual design of your survey
Failed attention checks
Biases in research
See all articles
Phase 3: Piloting and launching your study
βWhatβs that noise?β β Of systematic and random errors, or: Why pilot testing is important
Approving Submissions and Rejecting Participants
Phase 4: Analysing your data
Two common statistical frameworks: Null Hypothesis Significance Testing and Bayesian Statistics
Pro-Tip: Point and Range Estimations β or: How to make your theory more interesting and useful
Phase 5: Iterating the research cycle
Aim for converging evidence & theory building
Phase β: Metascience & the empirical cycle
Researcher degrees of freedom
A manifesto for reproducible science (by MunafΓ² et al., 2017)
Statistical and Methodological Concepts
What kind of sampling methods are there?
What are the advantages and limitations of an online sample?
Statistical Power