Quantitative data involves measurable numerical information used to test hypotheses and identify patterns, while qualitative data is descriptive, capturing phenomena like language, feelings, and experiences that can't be quantified.
The process of measurement is central to quantitative research because it provides the fundamental connection between empirical observation and mathematical expression of quantitative relationships.
Quantitative methodology is the dominant research framework in the social sciences. It refers to a set of strategies, techniques and assumptions used to study psychological, social and economic processes through the exploration of numeric patterns.
In summary, quantitative research offers a structured, objective framework geared for hypothesis testing and generalizable insights, while non-quantitative research provides a finer-grained, context-sensitive exploration of phenomena.
Research involving the collection of data in numerical form for quantitative analysis. The numerical data can be durations, scores, counts of incidents, ratings, or scales.