What is a narrow question?
Narrow questions are typically a “Yes” or “No” answer. Examples: “Have you ever had (X Product or Service) before?”
How do you narrow down a research question?
Here are some common ways you can narrow down a research topic:
- By demographic characteristics. Narrow it down by age group, occupation, ethnic group, gender, etc.
- By relevant issues. Try to identify key issues related to your topic, especially ones that you have an opinion on.
- By location.
- By timeframe.
- By causes.
How do you write a qualitative research question?
Use good qualitative wording for these questions.
- Begin with words such as “how” or “what”
- Tell the reader what you are attempting to “discover,” “generate,” “explore,” “identify,” or “describe”
- Ask “what happened?”
- Ask “what was the meaning to people of what happened?”
- Ask “what happened over time?”
What are qualitative research questions?
Qualitative research questions differ from quantitative research questions. Qualitative research questions seek to explore or describe phenomena, not provide a neat nomothetic explanation, so they are often more general and vaguely worded. They may include only one concept, though many include more than one.
What type of data is a yes no question?
Two good examples of nominal data are “yes-no” and “true-false” answers on a survey.
Is yes or no discrete or continuous?
Discrete data can be further sub-divided into three categories: binary, nominal and ordinal. Binary Data: A binary data only takes on two possible values. For example, lamp is on or lamp is off, answer is true or false, 0 or 1, yes or no etc.
What is an example of a qualitative variable?
A qualitative variable, also called a categorical variable, is a variable that isn’t numerical. It describes data that fits into categories. For example: Eye colors (variables include: blue, green, brown, hazel).
What are examples of nominal data?
Examples of nominal data include country, gender, race, hair color etc. of a group of people, while that of ordinal data include having a position in class as “First” or “Second”. Note that the nominal data examples are nouns, with no order to them while ordinal data examples comes with a level of order.