How does qualitative data differ from quantitative data?

Study for the Toru Sato Exam 4 with our quiz! Engage with flashcards and multiple choice questions, each with hints and explanations. Ensure your exam readiness and boost your confidence!

The distinction between qualitative data and quantitative data is fundamental in research and data analysis. The correct choice highlights that qualitative data can be observed, often encompassing characteristics, attributes, and descriptions that provide insights into phenomena but are not numerically measurable. This type of data is commonly gathered through interviews, open-ended survey questions, or observations where researchers look for patterns or themes.

On the other hand, quantitative data is characterized by its ability to be measured and expressed numerically, allowing for statistical analysis. This means it can be subjected to mathematical calculations, which can reveal trends and relationships through numbers, such as averages or percentages.

Understanding this difference allows researchers to select the appropriate methods for data collection and analysis based on their specific objectives or the nature of the information they are investigating.

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