When you have qualitative date you have:
Group of answer choices
Scores
People in categories
Words
All of the above
The correct answer and explanation is:
The correct answer is “All of the above.”
Qualitative data, also known as categorical data, is non-numeric and is typically used to represent categories or qualities. This type of data can take various forms, including words, labels, or categories that describe characteristics, traits, or categories of the subjects in a study.
- Scores: Although scores are generally numerical, they can sometimes represent qualitative data if they are used to classify people into categories based on performance, such as “high,” “medium,” or “low.” In this context, the scores themselves are categorical rather than quantitative.
- People in categories: Qualitative data often involves categorizing people based on specific traits or attributes. For instance, you might categorize individuals by their gender, ethnicity, occupation, or educational background. These categories do not have any inherent numerical value and instead offer descriptive insights.
- Words: Qualitative data can also be expressed in words, such as interview responses, open-ended survey answers, or descriptions of behavior. These textual data points provide valuable insights into the subject matter but cannot be measured numerically.
In summary, qualitative data encompasses a variety of types of information, such as scores (when categorized), people in categories, and words (such as survey responses or descriptions). It is essential for researchers to understand how to organize and analyze this type of data, as it allows for a deeper exploration of patterns, trends, and behaviors that cannot be quantified in a numerical sense.