what are the similarities of quantitative data and qualitative data?
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what are the similarities of quantitative data and qualitative data?
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Answer:
What is the difference between quantitative and qualitative data?
Quantitative data can be counted, measured, and expressed using numbers. Qualitative data is descriptive and conceptual. Qualitative data can be categorized based on traits and characteristics.
One type of data is objective, to-the-point, and conclusive. The other type is subjective, interpretive, and exploratory. So, which is which?
Now that we got the differences out of the way let’s dive into each type of data using real-world examples.
What is qualitative data?
Qualitative data is non-statistical and is typically unstructured or semi-structured. This data isn’t necessarily measured using hard numbers used to develop graphs and charts. Instead, it is categorized based on properties, attributes, labels, and other identifiers.
Qualitative data can be used to ask the question “why.” It is investigative and is often open-ended until further research is conducted. Generating this data from qualitative research is used for theorizations, interpretations, developing hypotheses, and initial understandings.
Qualitative data can be generated through:
Texts and documents
Audio and video recordings
Interview transcripts and focus groups
Observations and notes
Surprisingly enough, identification numbers like a social security number (SSN) or driver’s license are also considered qualitative because they're categorical and unique to one person.
Qualitative data examples
To better understand qualitative data, let's take the example of a bookcase. The following characteristics of this bookcase determine the quality of the information that's available to us about it:
Made of wood
Built in Italy
Deep brown
Golden knobs
Smooth finish
Made of oak
Explanation:
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