It is possible for the researcher to use the same concepts as in quantitative studies, an option that is not accepted when performing analysis using other qualitative methods (Long & Johnson, 2000). No matter what chosen method, the process of analysis reduces the volume of text collected, ...
Study 2 examines how the domain-specificity and -generality issue is addressed in individual children via case studies of three highly creative children, hoping to provide enriching and qualitative specification to the quantitative data of the present study. In both studies, children's performances in...
As mentioned above, you should analyze quantitative questions first, since their responses are grounded in numerical data and statistical analyses. An example of a quantitative survey question is asking your customers to rate their customer service experience on a specific scale. Evaluating and making ...
6. Use qualitative data to support and explain your quantitative data findings Using quantitative and qualitative survey data together can help you build a complete picture of what’s happening—and of what customers need from your product.
If you can count it, it is quantitative data. Think age, spending amounts, how often someone buys something or how they would rate the quality of a product. Qualitative data Qualitative data is harder to interpret, but incredibly important to give meaning to the numbers. It’s words, meani...
We try to service anyone that is using our platform to ensure they're getting the data and information that they need. When it comes to the growth of the product, we are making improvements to the app experience, tweaking some of the analytics into biochemistry more accurately. We're always...
2. There are many little findings, we’re seeing a broad spectrum of results. Either of these can work, indeed my collaborators and I have published papers of both types. But I think it’s a good idea to make it clear, right away, where your paper is heading. If it’s the first ...
Quantitative data refers to numerical information. For example, in the Net Promoter Score® (NPS) survey, customers will respond on a scale of 1–10. With that in mind, all the information gathered will be numerical, providing quantitative data. This form of data is accessible for direct co...
Data interpretation is the derivation of insights from a data model, and it is a key component of what data scientists do. Data scientists must present these insights in a way that stakeholders can understand. This is when one has to go back to the drawing board. How do the insights answe...
After you’ve completed your SEO audit, customer interviews, or UX analysis, you’re ready to present your findings and suggest next steps—the way forward. But your analysis has limited impact if you can’t communicate its value to others. ...