This paper presents the information on the characteristics of a good research hypothesis. It explores and explains the differences between a non-directional research and a directional research hypothesis, and observes what distinguishes a null hypothesis from a research hypothesis.
The major characteristics of a good research hypothesis include as follows:
- A good hypothesis should rely on sound reasoning;
- A good hypothesis neatly affirms the relationship between variables;
- A good hypothesis offers a valid explanation for some outcome;
- A good hypothesis should be under test in a valid period of time;
- A good hypothesis should have an if–then statement.
A null hypothesis is a basic testable assumption, which is usually stated as the absence of differences, the lack of effect, etc. In turn, Delampady emphasized that “one of the major justifications for testing a point null hypothesis is that it can be considered as an approximation to an appropriate interval hypothesis in a large number of situations” (120). A research hypothesis is a methodological characteristic of some research, a scientific hypothesis advanced to explain any phenomenon that requires some verification by experience to be a reliable scientific knowledge. A hypothesis differs from a null hypothesis as well as simple assumptions in a number of features. These include:
- Applicability to the widest possible range of phenomena;
- Relative simplicity.
The major differences between a non-directional research hypothesis and a directional research hypothesis are that a directional hypothesis is considered to be one tailed. It is possible to state that through manipulating an independent variable there must be some change in a dependent variable.Thus, it is possible to guess if that change will be negative or maybe positive. In turn, a non-directional hypothesis can be described as two tailed. With the help of manipulating an independent variable there must be a reasonable change in a dependent variable, but it is impossible to guess if that change will be negative or positive.
In conclusion, it is possible to say that a hypothesis is an unproved assertion or assumption. Any hypothesis must be refutable. Irrefutable assumptions (for example, axioms) cannot be considered to be hypotheses.
Delampady, Mohan. “Lower Bounds on Bayes Factors for Interval Null Hypotheses.”Journal of the American Statistical Association 84.405 (1989): 120-124.