Types of Qualitative Data
Qualitative data can be further categorized into the following types:
- Nominal Data
- Ordinal Data
Let’s understand these types in detail as follows.
Nominal Data
Nominal data is represented using names, as indicated by their Latin origin. It includes named or labeled data and does not take numerical values into consideration. For example, different movie or series genres, such as horror, sci-fi, and rom-com, are nominal categorical data. They are labeled in different forms.
Ordinal Data
Ordinal qualitative data uses a certain scale or measure to group data into categories or groups. The data is generally ordered or measured, but the scale used to represent the data may not be standard or specific. This type of data includes numerical values and displays properties of both categorical data and numerical data. Categorical data can be analyzed by making groups, and it can be visually represented using bar graphs. Ordinal categorical data can be illustrated using surveys that use numbers to compute comparison data belonging to groups under categorical variables.
Qualitative Data
Qualitative data is defined as data that approximates and characterizes. Qualitative data can be observed and recorded. In the field of analysis, the terms “qualitative data” and “quantitative data” are used frequently. Quantitative and Qualitative are the two sides of the coin named “Data in Statistics” but as many people are familiar with quantitative data (i.e., numerical data of various sorts), qualitative data is often less understood. Understanding the qualitative data is essential for researchers, analysts, decision-makers, or anyone who wants to gain deep insights into people’s behaviors, attitudes, and experiences.
Qualitative Data
Qualitative data represents information and concepts that are not quantified numerically. They are typically acquired through sources like interviews, focus groups, personal diaries, lab notebooks, maps, photographs, and other observational or printed materials.
In this article, we have tried to explain Qualitative data with different approaches to its analysis, and also learn about the advantages and disadvantages of Qualitative Data.
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