Which type of research yields numerical data suitable for statistical analysis?

Which type of research yields numerical data suitable for statistical analysis?

• A. Qualitative Research
• B. Primary Research
• C. Field Research
• D. Quantitative Research

Answer: (D)

Numerical data that can be analyzed statistically comes from quantitative research. This approach focuses on counting, measuring, and quantifying aspects of a topic, producing data in numbers that lend themselves to statistical tests, comparisons, and identification of patterns. For example, surveys with closed-ended questions or experiments that record measurable outcomes generate quantitative data. In contrast, qualitative research yields descriptive, non-numeric data such as interview transcripts or observed behaviors, which are analyzed for themes rather than statistics. Primary research simply refers to collecting new data, but it can be either qualitative or quantitative; field research relates to where data is gathered, not the data type. So the type of research best suited to numerical data and statistical analysis is quantitative research.

Numerical data that can be analyzed statistically comes from quantitative research. This approach focuses on counting, measuring, and quantifying aspects of a topic, producing data in numbers that lend themselves to statistical tests, comparisons, and identification of patterns. For example, surveys with closed-ended questions or experiments that record measurable outcomes generate quantitative data. In contrast, qualitative research yields descriptive, non-numeric data such as interview transcripts or observed behaviors, which are analyzed for themes rather than statistics. Primary research simply refers to collecting new data, but it can be either qualitative or quantitative; field research relates to where data is gathered, not the data type. So the type of research best suited to numerical data and statistical analysis is quantitative research.