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Researchers might sometimes need to categorize respondents based their answer options on a particular question. This is called group analysis.
In group analysis, the survey responses are filtered out based on the type of response the respondents give on a particular question. This particular question can be a demographic one, or related to survey topics. Researchers make sure of grouping analysis in surveys to get deeper information on the market and its trends. Along with that, businesses can identify the areas which need more attention and perform in that direction.
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When a researcher deploys a survey, he gets loads of data coming from all directions of a widely spread audience. It is not always possible to study the sample size and then shortlist the respondents based on the criteria researcher wants. Every respondent will have different opinions on products and services. Hence, researchers decide to group them based on the answers to questions. Depending on the groups, necessary actions are taken.
Let us see some examples of how grouping can be done for survey analysis:
Assume a medical research center developed a new medicine for blood pressure patients. They decide to study its effects on patients practically, by prescribing it to active blood pressure patients of all age groups. Doing so will help them study how the drug performs on patients of different age groups.
After giving the drug to patients, the medical facility decides to take an initial survey to get an idea about any issues and drug performance on patients. They are asked to fill out a survey with questions about the drug effect and side effects. But to group the responses according to age, it has its first question as, “Please specify your age.”
This will segregate the survey responses according to age groups and researchers can perform analysis on different groups.
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