To reiterate the point made regarding the structure of the title, the dependent variable is often the behaviour being measured, and the independent variable is the variable being manipulated. One approach adopted by many authors is to make the origin of the hypothesis perfectly clear by relating it back to the research documented in the body of your introduction. This helps to maintain the integrity of the introduction and assists in the logical flow . It can also be at odds with the logical flow of the introduction. 6.7.2 What to include - what not to include One of the tricks to writing a good introduction is to know what to include and what to leave out.
Students tend to get very confused when they have a number of past papers at their disposal.
With so much information it becomes very difficult to know what should be included in your introduction. An easy guide to follow is to only include in your introduction the information necessary for the reader to understand where your AIMS have come from and why you have hypothesised what you have. The rest of the material you have is certainly not wasted. Wider reading often helps you understand the big picture, a feature which does not go unnoticed by markers. It is often very easy to determine which students have only read the prescribed references and which students have done a little wider reading.