Assessing the Quality of Scientific Research and Its Data
summary
Discusses planning experiments and analyzing collected data to assess the quality of research and its results, highlighting common mistakes researchers make despite community experience. Covers practical approaches to experiment design and data analysis aimed at reducing errors and improving the reliability of scientific findings.
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chapters (14)
- 0:00Introduction
- 1:52Statistical significance problem
- 6:30Replication in psychology
- 8:18A/B testing and science
- 10:05Confirmation bias
- 15:23Young scientists' mistakes
- 19:19Neuromarketing risks
- 22:08Choosing testing methods
- 23:57Genetic research errors
- 26:47Authority and scientific myths
- 27:29Technical debt in science
- 28:13Summary and rational thinking
- 31:03Science meets IT
- 37:26Q&A
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