Very often we hear about the word hypotheses when doing research. It is a common term, but for those who are just beginning, it can be complicated. In this blog post, we provide you with an explanation of what a hypothesis is and how it can be significant for the researchers. By definition, a hypothesis is an assumption that is developed depending on some evidence. It is the starting point when doing research as it helps in translating the research questions into a simple version. The hypothesis has components such as variables, population and the researcher find the relation between these two. The researcher uses a research hypothesis to determine the relationship between two or many variables. In simpler terms, the hypothesis is just an assumption and the researcher base his researcher on it. However, a hypothesis is having certain key features. These are as under.
- The hypothesis should be very to the point and straight so that the researcher can depend upon it.
- In the case of a relational hypothesis, the relation between the variables should be properly defined.
- The hypothesis has to be particular and there should be a high potential for the researchers to carry out tests.
- A hypothesis should be simple so that it can be comprehended by the researchers well.
These are certain key features of the hypothesis. These have to be managed appropriately, such that it can do effectively the research.
Several Types of Hypothesis
The hypothesis can be of various types. There are six types of hypothesis including simple, complex, directional, non-directional, null and associative hypothesis.
- As far as a simple hypothesis is concerned, it is used by researchers commonly. This hypothesis shows a relation between one dependent variable and another independent variable. For instance, if we work hard, we would be successful. In this example, working hard is an independent variable, while being successful is a dependent variable.
- Another hypothesis is a complex hypothesis that includes the relation between two or many dependent variables and two and many independent variables. For example, working hard leads to an individual being successful, organised, punctual.
- The third type of hypothesis is a directional hypothesis which shows the intellectuality of the researcher and his dedication to a certain result. The relation between different variables makes a directional hypothesis. For example, kids between the ages of 3-5 should eat nutritious food, as these are growing years of the children. If kids between these ages do not eat excellent food, it can limit their growth level. Hence, in this hypothesis, the direction depends on a variable.
- Another is a non-directional hypothesis. In this, there is a relation between two variables such that the relation is not known.
- Another is the null hypothesis, which is contrary to the actual hypothesis. The null hypothesis is negative as there is no relation between the variables.
- The last type of hypothesis is a casual and associative hypothesis. The associative hypothesis is the one when there is a variation in one variable leading to variation in another variable. However, the causal hypothesis leads to cause-and-effect interaction between different variables.
These are six key types of hypothesis. It is vital for researchers to choose the best type of hypothesis. So by now be clear about what a hypothesis is and how it should an initial point in the research. However, when using a hypothesis, it should be clear that it has to be precise and very clear so that it can address the research questions. But you cannot work with the hypothesis and need help with your assignment, then we have a team of experts to do it.