Different types of data define more and more of our interactions online—one of the most common and well-known being qualitative data or data that can be expressed in descriptions and feelings. This guide takes a deep look at what qualitative data is, what it can be used for, how it’...
Quantitative data tells us how many, how much, or how often (e.g. “20 people signed up to our email newsletter last week”). Qualitative data can help us to understand the “why” or “how” behind certain behaviors, or it can simply describe a certain attribute—for example, “The ...
In qualitative research data can be collected through a wide range of methods: interviews, focus groups, and participant and nonparticipant observations. How data is being analyzed varies between disciplines depending on the theoretical perspective, on the study contexts, and the research question....
How is qualitative data analysis different from quantitative data analysis? Understanding thedifferences between quantitative & qualitative datais important. When it comes to analyzing data, Qualitative Data Analysis serves a very different role to Quantitative Data Analysis. But what sets them apart? Qu...
What is qualitative vs. quantitative data? Quantitative data is always numerical. It can be put in a database and analyzed using mathematical andstatistical analysismethodologies. For this reason, the data is commonly structured. In comparison, qualitative data is descriptive and interpretive. It is...
On the other end, the developers and teams responsible for fixing the problems received all of the data that they needed to get started on the issue. They were able to know when the problem occurred, on which page, and who encountered it. On top of that, they got the visual information...
When people talk about content analysis, they often mean conceptual analysis. This method involves picking a concept and then counting how often it appears in your data. The basic goal is to see how frequently certain terms come up. In general, conceptual analysis requires you to do three thin...
However, not all numerical data can be considered quantitative data. For example, while phone numbers contain numerical data, the meaning of the data is still subjective and would need to be analyzed from a qualitative perspective. It relates to only one person and can fluctuate or be ...
Qualitative data is additionally known as categorical data since this data can be classified according to classes. For example, think about a student reading a paragraph from a book throughout all the class sessions. A lecturer who is listening to the reading offers feedback on how the child ...
To some, one of the biggest drawbacks of qualitative data is that it does not offer countable accurate data. How you see this point is entirely subjective and based on what you prefer. So moving on, here are some cons of qualitative feedback that you should know to set reasonable expectati...