3.3a background information and reporting and evaluating experimental design Flashcards
What should scientific reports contain?
- an explanatory title
- an abstract including aims and findings
- an introduction explaining the purpose and context of the study including the use of several sources
- supporting statements
- citations
- references
What should background information be?
clear, relevant and unambiguous
What should a title be?
it should provide a succient explanation of the study
What should an abstract do?
outline the aims and findings of the study
What must an aim do?
link the independent and dependent variables
What should an introduction do?
- provide any information required to support: choices of method, results and discussion
- it should explain why the study has been carried out and place the study in the context of existing understanding
- key points should be summarised and supporting and contradictory information identified
- several sources should be selected to support statements, and citations and references should be in the standard form
- Decisions regarding basic selection if study methods and organisms should now be covered, as should the aims and hypothesis
What should a method section contain?
sufficient information to allow another investigator to repeat the work
What should the experimental design address and why?
the intended aim and the hypothesis
the validity and reliability of the experimental design should be evaluated
an experimental design that does not address the intended aim or hypothesis is invalid
What should treatment effects be compared to?
controls
What should be taken into account or standardised across treatments?
any confounding variables
When may the validity of an experiment be compromised?
when factors other than the independent variable influence the value of the dependent variable
What is selection bias?
the selection of a sample in a non-random way, so that the sample is not representative of the whole population
What may prevent a representative sample being selected?
selection bias
When may it be impossible to avoid selection bias?
sample size may not be sufficient to decide without bias whether the change to the independent variable has caused an effect in the dependent variable