Review an experimental design to determine possible sources of bias or error, state alternative explanations, and identify questions for further investigation 0707.Inq.4

Links verified on 5/9/2024

 

1. Bias and Random Error - bias can be large enough to invalidate any conclusions
2. Bias and Sources of Error - Learn how scientists identify and minimize bias and sources of error to produce accurate results
3. Biased Sample - also known as: Biased Statistics, Loaded Sample, Prejudiced Statistics, Prejudiced Sample, Loaded Statistics, Biased Induction, Biased Generalization (3 good examples at the bottom of the page)
4. Experimenter's Bias - Wikipedia entry
5. How Science works: Errors - Explains random and zero errors, parallax, and anomalous results.
6. How Science works: Reliable evidence and Valid evidence - Explains the meaning of 'data' and 'evidence', 'reliability' and 'validity', 'secondary' evidence, with examples for you to discuss.
7. Practices of Science: Scientific Error - teaching science as inquiry
8. Research Bias - a process where the scientists performing the research influence the results, in order to portray a certain outcome
9. Sampling Error - the deviation of the selected sample from the true characteristics, traits, behaviors, qualities or figures of the entire population
10. Sources of Error - [37 page .pdf document] a framework for identifying potential sources and impact of distortion in observational studies, with approaches to maintaining validity
11. Statistics with Crayons - (4:16) a YouTube video about bias and random eror with Hans and Hera
12. Systematic Error - a type of error that deviates by a fixed amount from the true value of measurement

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