In scientific research there is a standardised way of going about an . This is as the diagram shows:
|Ask a question||This should be something you can observe.
Go back to Step 1 for more information on picking a question.
|Do background research||So you don’t repeat experiments which have been done before, and so you can spot things that haven’t worked in previous projects, do a search to see what other projects have done. Use a search engine such as Google Scholar.|
|Construct a||A is basically what you think may happen. For instance; If
are given food before entering a maze, they move faster through the maze.
You can also include a . This is normally the prediction you make for if no effects are seen. For instance; If are given food before entering a maze, there is no difference in the speed they more through the maze.
|Test with an||Your
tests if your is correct or if you should accept the instead.
Always repeat your experiments to check that your results aren’t just a fluke. Repeat experiments at least 3 times.
Remember to always make sure your is a fair test. This means you are only changing one variable at a time
Watch out that you interpret the as it is (Objectivity), a negative result is still as result, don’t look for what isn’t there. Only report what you see.
|Analyse your||Once you’ve collected all your
, you need to analyse it and see if it supports your or not.
If you choose to statistically analyse your stats page. see our
|Write up!||Communicate your results however you choose – this can be as an academic poster, presentation or written report. See Step 3 for more information on writing up your analysed .|