Which type of research includes numerical data and is often less personal?

Quantitative research is characterized by its use of numerical data, which allows researchers to quantify behaviors, opinions, or other defined variables and to uncover patterns or relationships among them. This approach often relies on statistical analysis to draw conclusions, making it a powerful method for studying large populations or identifying trends across different groups.

One of the defining features of quantitative research is its focus on objectivity and measurable outcomes. This means that the findings can be generalized to a larger population, given that they adhere to strict scientific methodologies and sampling techniques. The numerical data can be presented in various forms, such as graphs, tables, or charts, making it less personal and more focused on empirical evidence rather than subjective experiences.

In contrast, qualitative research seeks to explore the depth of human behavior through more subjective and narrative perspectives, often involving small samples and open-ended questions. This can lead to rich, detailed insights but is not primarily focused on numerical data or generalizability.

Mixed methods research combines elements of both qualitative and quantitative approaches, integrating numerical data with narrative to provide a more comprehensive understanding of a research question.

Observational research typically involves watching and recording behaviors or events as they occur, which may or may not include numerical data but is often more descriptive and qualitative in nature.

Therefore