We can see that the term "one-tailed" refers to the tail of the distribution on the outcome variable. For instance, let's assume you are studying a new drug treatment for depression.The drug has gone through some initial animal trials, but has not yet been tested on humans.Tags: Example Of Literature Review In Research PaperMessage To Garcia EssayA Dissertation Upon Roast Pig Essayist CrosswordAbortion Persuasive Speech Pro-LifeCoursework Vs CourseworkResearch Papers On Risk Management
Developing testable research hypotheses takes skill, however, along with careful attention to how the proposed research method treats the development and testing of hypotheses.
Before jumping into writing research hypotheses it is crucial to first consider the general research question posed in a study.
You believe (based on theory and the previous research) that the drug will have an effect, but you are not confident enough to hypothesize a direction and say the drug will reduce depression (after all, you've seen more than enough promising drug treatments come along that eventually were shown to have severe side effects that actually worsened symptoms).
In this case, you might state the two hypotheses like this: The null hypothesis for this study is: The figure on the right illustrates this two-tailed prediction for this case.
An hypothesis is a specific statement of prediction.
It describes in concrete (rather than theoretical) terms what you expect will happen in your study. Sometimes a study is designed to be exploratory (see inductive research). Let's say that you predict that there will be a relationship between two variables in your study.
For example, our discussion about copying from winning proposals, the post reviewing the ERC grant, and the “ERC Lessons Learnt“.
Still, we highly advise researchers to seek assistance and consulting in order to solidify their hypothesis, and overall ERC grant application at large.
When your study analysis is completed, the idea is that you will have to choose between the two hypotheses.
If your prediction was correct, then you would (usually) reject the null hypothesis and accept the alternative.