Questions might begin with ‘how,’ ‘why,’ ‘describe…’ or other conversational phrases that encourage the respondent to open up. This type of response is usually given in open field (text box) question formats. Natural language data (open-ended questions)Īnswers written in the respondent’s own words are also a form of survey data. However, its simplicity means you lose out on some of the finer details that respondents could have provided. This type of question produces structured data that is easy to sort, code and quantify since the responses will fit into a limited number of ‘buckets’. Respondents can’t qualify their choice between the options or explain why they chose which one they did. Closed-ended questions can also take the form of multiple-choice, ranking, or drop-down menu items. They could be a ‘yes’ or ‘no’ question such as ‘do you live in Portland, OR?’. These are questions with a limited range of responses. Qualitative data highlights the “why” behind the what. It’s more likely to be descriptive or subjective, although it doesn’t have to be. It may be verbal or visual, or consist of spoken audio or video. Qualitative data is information that isn’t numerical.An example of quantitative data would be the number of times a customer has visited a location, the temperature of a city or the scores achieved in an NPS survey. Quantitative data, aka numerical data, involves numerical values and quantities.What’s the difference between qualitative data and quantitative data? Often, survey data will belong to more than one of these categories as they frequently overlap. Get your free Qualtrics account now Types of survey dataĭifferent kinds of survey questions yield data in different forms. There are a huge number of survey data analysis methods available, from simple cross-tabulation, where data from your survey responses is arranged into rows and columns that make it easier to understand, to statistical methods for survey data analysis which tell you things you could never work out on your own, such as whether the results you’re seeing have statistical significance. It’s an essential part of doing survey-based research. Survey analysis is the process of turning the raw material of your survey data into insights and answers you can use to improve things for your business.
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