A research design that focuses on understanding a unit (person, site or project) in its context, which can use a combination of qualitative and quantitative data. Click an approach on the left to navigate to it... Qualitative data are the answers we collect from our market research that are open ended. They are the responses we get in the respondent�s own words, not constricted by scales or structure. Qualitative data gives us the �why�, not the statistics and numbers.
1/19 Quantitative data analysis . First of all let's define what we mean by quantitative data analysis. It is a systematic approach to investigations during which numerical data is collected and/or the researcher transforms what is collected or observed into numerical data.... Quantitative data is 'number crunching' data, used for quantifying information segments. This is a basic statistical form of data, considered raw data before analysis, and statistical data after the relevant controls are used to check for accuracy.
The Two Main Flavors of Data: Qualitative and Quantitative At the highest level, two kinds of data exist: quantitative and qualitative . Quantitative data deals with numbers and things you can measure objectively: dimensions such as height, width, and length.
The advantage of converting qualitative data into quantitative data is that the source of qualitative data�a direct encounter of the user�s experience�can reveal nuances in usability, perhaps otherwise missed in more formal quantitative experiments and surveys.
If qualitative data is used to create a survey or questionnaire, do you consider the qualitative data to be inconsequential or superficial to the research model? Are there types of qualitative data that make for better quantitative instrument production, i.e. focus groups, case studies, interviews? Could you justify using qualitative data in a quantitative analysis in your area of interest?