Outline a research question and hypothesis that interests you, and describe the key variables.

Outline a research question and hypothesis that interests you, and describe the key variables. This could be the research question you plan to use for your final project, but it does not have to be. What are the key variables? How could these variables be operationalized? Are there any ethical issues that arise when studying this topic? Also, be sure to label the independent and dependent variables. When responding to your classmates, suggest other ways that the variables in their research question could be operationally defined.

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Outline a research question and hypothesis that interests you, and describe the key variables.


As a researcher, it’s important to have a clear question and hypothesis about what you want to learn. This will help guide your research and keep you focused on the right questions. It also makes it easier for others to understand why you’re doing what you’re doing–and hopefully contribute to it!

What is the question?

The first step in outlining a research question is to clarify what you want to know. For example, if your goal is to learn about gender differences in perceptions of health literacy among people with disabilities, your question might be: “What are the gender differences in perceptions of health literacy among people with disabilities?”

You can also use this same format for other types of questions such as “How do people with disabilities perceive their own health literacy?” or even “Do some people feel less informed after reading an article on how they should care for themselves?”

What do you want to know?

The first step in any scientific investigation is to determine what questions you want to answer. Your research question should be carefully worded with as much specificity as possible. This will help ensure that you’re asking relevant questions and not wasting time on irrelevant ones. You should also consider the following questions:

  • What information do I need to answer my question?
  • What information am I trying to understand?
  • What information do I need before designing an experiment or interpreting results (e.g., basic statistics)?

What are the directions of possible assumptions?

You want to make sure that your assumptions are valid and that they lead to the correct conclusions. A good way to do this is by testing them. For example, if you are investigating whether or not people like different types of music, you could conduct a study and find out how many people prefer one type over another. This would help determine whether or not there really was an advantage in listening to one type over another (in terms of getting tickets sold at concerts).

However, if someone who was trying to sell tickets said they had found an advantage when it came down to which type of music people liked better–and then their findings were tested against actual data collected from concertgoers–they might come up empty handed because some other variable may have been responsible for driving change in ticket sales.*

Who will be answering your question?

A good research question is one that can be answered with the help of a small group. For example, if you are doing research on the effects of video games on children’s cognitive abilities, then you should focus your attention on young adults between the ages of 12 and 25 years old.

You should also consider who will be answering your question/hypothesis? What is their background in this field? Are they experts or amateurs? Are they willing to help out by contributing data or providing feedback on results (if applicable).

Write down a research question, and brainstorm potential variables to keep track of.

Writing down a research question is the first step in conducting any kind of study. It’s important to do this early on, so that you can keep track of your progress and make sure that your data collection is effective.

A good example of an interesting research question would be: “Are there any differences between people who eat more vegetables and people who don’t?” The key variables here would be “eat more vegetables” and “do not eat more vegetables.” If these questions are answered with yes or no, then it means that there aren’t any differences between those two groups at all–but if they aren’t answered at all (or if they’re answered negatively), then we might want to look into why this might be happening! In this case, we’ll probably look for ways for us both as researchers and readers/audiences alike can help contribute toward making our world better by doing good things like eating healthier foods–and also making sure others know how important it is too!


In conclusion, you should now have a better idea of how to write your research question and hypothesis. Testing the hypothesis is important; but so is understanding what kind of information you want to find out by doing this. By coming up with ideas on how data could be collected and analyzed, you can ensure that every step along the way will help answer your questions as efficiently as possible.

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