Hypothesis!

If our next step is to form or state a hypothesis, we are faced with 2 different options which are quantitative and qualitative methods. 

• Quantitative Method:

We are interested in numerical data which uniform something to consider the world relative to stable to make generalization with closed-ended questions. Therefore, world is coherent. Also, we try to test hypothesis by using less variables to eliminate the contextual factors. To sum up quantitative method can be seen as holistic.

It is typically to arrive or review of the literature. Also, we can see certain differences between variables. 

For example; “Do cells attack the corona virus when the corona virus vaccine is applied?” can be an example of quantitative hypothesis because we are interested in urgent needs of society and humanity. 

• Qualitative Method:

We are interested in different ideas and beliefs which is related to situations where the world is not stable by focusing more narrowly with open-ended questions. Also, we try to generalize hypothesis by trying to reach of the qualitative of the topic and gather in depth insight. 

For example; “Will people feel comfortable after being vaccinated for coronavirus?” can be an example of qualitative hypothesis because we seek to describing, identifying, making predictions about variables, etc. 

It is as important as making hypotheses as well as making hypotheses. There are 4 criteria to make a good hypothesis which are;

1. It is based on sound reasoning by making observations.

2. It provides reasonable explanation f predicted outcome.

3. It states expected relationships between defined variables clearly. 

4. It is testable within reasonable time.

There are a variety of hypothesis for example; inductive, deductive, research and null. 

• Inductive Hypothesis vs Deductive Hypothesis:

The main difference between inductive and deductive reasoning is that inductive reasoning aims at developing a theory while deductive reasoning aims at testing an existing theory.

Inductive hypothesis steps are observation, observe a pattern, develop a theory. On the other hand deductive hypothesis steps are start with an existing theory, formulate a hypothesis based on existing theory, collect data to test the hypothesis, analyze the results: does the data reject or support the hypothesis?

• Research Hypothesis:

A research hypothesis is a specific, clear, and testable proposition or predictive statement about the possible outcome of a scientific research study based on a particular property of a population, such as presumed differences between groups on a particular variable or relationships between variables.

• Null Hypothesis:

The null hypothesis is a general statement or assumed position that there is no difference between the two measured phenomena or that the two samples are derived from the same general population. It tests or rejects variables and reaches the answer to the question of whether there is a relationship between the two variables by using null hypothesis.