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Survey Features

Grouping analysis

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What is grouping analysis in surveys?

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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Uses of grouping analysis in surveys

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:

  • Survey completion status – survey status can be, started, not started, complete. 
  • Date – categorizing respondents based on the date they answered the survey.
  • Question – any specific question can be set to bifurcate the respondents’ based on what their answer is.
  • Location – by tagging respondents’ geolocation and segregating their responses. 
  • Device type – differentiating based on the type of electronic device used by respondents to answer the survey. 
  • Language – segregating respondents based on the language they answered their survey in.

Example of grouping 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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Advantages of grouping analysis in surveys

  • Filtering responses based on survey status – this will help you consider only those responses that were seriously taken by respondents and completed till the end for quality data.
  • Time based grouping – researchers can start analyzing surveys as soon as the fastest responses arrive, rather than waiting for each and every late response and wasting time.
  • Grouping by date – date constraint works fine against fast changing market trends. Researchers can analyze early data and appropriate measures can be taken.
  • Question analysis – you can specify a question based on which you want to filter respondents.
  • Location based grouping – it can help you serve customers based on their locations and customize their experiences for them.

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