Experiments involving humans or animals must follow consent, welfare and honesty guidelines.
Principles: informed consent, minimising harm, privacy, honesty. Animal research follows the 3Rs: replace, reduce, refine. Ethics committees review protocols.
Ethical review boards approve studies. Participants may withdraw. Data must be reported honestly. Fabrication and plagiarism are misconduct.
Remember: animal studies must minimise suffering.
Experiments involving humans or animals must follow consent, welfare and honesty guidelines.
Ethics in Research is one of the 51 topics in Lab Methods & Biostatistics. It is rated Beginner, so it suits learners who are starting out in biology. Related topics in this area include Statistical Power, Hypothesis, Aseptic Culture Technique.
The Declaration of Helsinki guides human medical research.
Ethics in Research is a Beginner topic, so no earlier topic is required. Other Beginner topics in Lab Methods & Biostatistics that pair well with it include Scientific Method, Hypothesis, Variables.
The closest topics to Ethics in Research are Statistical Power, Hypothesis, Aseptic Culture Technique, Mark-Release-Recapture. Comparing them side by side is a good way to see how the ideas connect.
Read the summary and the in-depth section, then use the quick check on the interactive lesson for Ethics in Research. To practise the whole of Lab Methods & Biostatistics, use the Lab Methods & Biostatistics quiz.
Ethics in Research: Experiments involving humans or animals must follow consent, welfare and honesty guidelines. Statistical Power: The probability of detecting a true effect, determined by sample size, effect size and variability. Read both side by side and note what each one explains.
First, read the summary and write the definition in your own words. Second, read the in-depth section and note any example. Third, compare it with Statistical Power and explain the difference aloud. Finally, take the Lab Methods & Biostatistics quiz and come back to this page for any question you miss.
The probability of detecting a true effect, determined by sample size, effect size and variability.
📊 Lab Methods & BiostatisticsA testable explanation for an observation that can be supported or refuted by evidence.
📊 Lab Methods & BiostatisticsSterile handling prevents contamination when growing microbes or cells.
📊 Lab Methods & BiostatisticsEstimates population size using the ratio of marked individuals recaptured in a second sample.
📊 Lab Methods & Biostatistics