Lecture 11 Flashcards
Methodolatry
Worship of the method of research over other facets of research such as interpretation.
Example of Pacific islands and american planes giving people supplies. Analogous to scientists following method but not understanding.
Merton’s core values of science
- Communalism: scientific product belongs to no one
- Universalism: truth claims are judged the same, no matter who makes them
- Disinterestedness: scientists have no interest in the outcome of research
- Organized Skepticism: ideas are cracked down on and rigorously tested.
Problems with communalism
Often scientists regard their data as their own and don’t share it or materials and analysis code.
Problems with universalism
There are clearly power structures (editorial positions, leaders of scientific organizations, senior researcher in faculty).
Underrepresentation of women and minorities.
Problems with disinterestedness
Researchers have an interest in succes because they want to be published. This causes more fraud and trying to play with the numbers.
Problems with organized skepticism
Scientific culture seperates the idea and the person. But sometimes people do argue in a personal way.
Standard research practice in the 20th century
- Create theory (verbal story)
- Come up with an experiment (usually with a small n)
- Test hypothesis (significance test)
- Publish results (no disclosure of data)
Questionable research practices
- P-hacking: deleting outliers, adding covariates, splitting the sample, selecting variables until effect found
- Publication bias: only publishing a positive result
- HARKing: hypothesizing after results are known
- Dropping experimental conditions that don’t work.
Crisis of confidence
In 2013 a group of researchers assessed replicability of 100 psychological studies. They found out many could not be replicated
Pillars of open science
- Open Data: anyone can assess the evidence
- Open Materials: anyone can replicate
- Preregistration: no a posteriori tinkering with analyses
Brian Nosek
Developer of Center for Open Science, GitHub etc.
The Manylabs project
Project to replicate a lot of studies with ‘sexy findings’.
Found that many don’t replicate. Studies with smaller effect sizes often do replicate.
Criticisms of Open Science
- More bureaucracy and more work for researchers
- Most data isn’t downloaded, many preregistrations aren’t checked
- Too much focus on replication, not enough on creativity
- Expensive
- Not always feasible
- Some approaches like field studies and qualitative research may decline