Writing a Hypothesis

Writing a hypothesis is often one of the most confusing aspects in dissertation writing. As you are conducting your experiment, there is one or more hypotheses you want to test. If you fail to develop a perfect hypothesis, your whole experiment will go in vain. Of course, no one says it will be easy. In fact, many students confess that hypothesis writing is the most difficult part of their dissertation work. However, do not be pessimistic. You can do it. If you know how to follow our recommendations, you will not have any difficulties designing a hypothesis part of your dissertation. You will also have to learn more about the scientific process and incorporate its components into your work. Just make sure that you know how to ask questions and seek answers to them.

Follow Three Important Steps

Many students find it problematic to develop a testable hypothesis. The biggest problem is that they cannot decide what aspect of the topic they want to explore and analyze. Now you can use our three-step proposition to develop a strong hypothesis that will guide your study. It will give you a chance to narrow down your topic and find excellent evidence to support your thesis.

The first step is developing a very general hypothesis. This may include all information you currently have about the problem. At this stage, you actually determine the problem you want to research.

Example

As a manager, you notice that the levels of satisfaction among your employees have been declining steadily in the past quarter. You want to understand why. You have also noticed that workers became less satisfied with their work after the organization dismissed one department and laid off five employees. Therefore, the general hypothesis will be

"Organizations' decision to lay off employees may impact job satisfaction among surviving workers."

You can use this hypothesis as a starting point for designing your study, but you cannot use it to decide on the kind of experiment you need to prove or refute it. Thus, you propose a more specific argument:

"Organizations' decision to lay off employees reduces the job satisfaction among surviving workers."

This hypothesis is more specific, but you still wonder how you could reasonably test it in an experiment. So, you reach the third stage of hypothesis writing and say, that

"Organizations' decisions to lay off employees reduce job satisfaction among surviving workers, due to lower motivation and lower job security in the workplace."

Now you have a hypothesis you can test. It incorporates several independent and dependent variables. Now you will need to look deeper into the changes in workers' motivation and perceptions of job security to decide if they can impact their satisfaction after some of their colleagues are fired. In essence, you are expected to follow each step slowly to achieve the desired result.

Now what you need to do is designing your experiment. You will use statistics to confirm or refute your assumptions. With the help of statistics you will also be able to see which of your hypotheses is correct. You can always propose more than one hypothesis and test them all in your study. If your hypotheses are refuted, you can modify them and try a new experiment. All this is a part of your scientific evolution, and you must be sure that you have followed the standards of accuracy and credibility in your research procedures.

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