Quantitative Methods Questions
Quantitative data refers to numerical information that can be measured and analyzed using statistical methods. It involves collecting data through structured surveys, experiments, or observations and is typically represented in the form of numbers, percentages, or graphs. Quantitative data allows for statistical analysis, generalization, and the identification of patterns or trends.
On the other hand, qualitative data refers to non-numerical information that is descriptive in nature. It involves collecting data through interviews, focus groups, or observations and is typically represented in the form of words, narratives, or themes. Qualitative data provides a deeper understanding of individuals' experiences, perceptions, and behaviors, allowing for the exploration of complex social phenomena and the generation of new theories or hypotheses.
In summary, the main difference between quantitative and qualitative data lies in their nature and the methods used to collect and analyze them. Quantitative data focuses on numerical measurements and statistical analysis, while qualitative data emphasizes descriptive and interpretive approaches to gain insights into human experiences and social phenomena.