A "set question" is a type of question used in research and data collection that requires a specific answer or set of responses. These questions are designed to gather information on a particular topic or subject and are typically used in surveys, interviews, and experiments.
A "set question" is different from other types of questions, such as open-ended or multiple-choice questions, in that it has a predetermined set of responses. This means that the respondent is limited to choosing from a specific list of answers, rather than being able to provide their own unique response.
There are several advantages to using "set questions" in research. Firstly, they allow for easier data analysis as the responses are standardized and can be easily compared and categorized. Additionally, they can help to reduce bias in data collection as all participants are given the same set of responses to choose from.
To effectively use "set questions" in a research study, it is important to carefully design and select the questions based on the research objectives. The questions should be clear, concise, and relevant to the topic being studied. It is also important to ensure that the response options cover all possible answers and are not biased towards a particular outcome.
While "set questions" have many advantages, they also have some limitations. One potential limitation is that they may not capture the full complexity of a topic or issue, as the responses are predetermined and may not allow for nuance or variation in answers. Additionally, if the response options are not well-designed, they may lead to inaccurate or incomplete data. Therefore, it is important to carefully consider the limitations of using "set questions" and balance them with the research objectives.