Reseña

Quantitative methodologies are characterized by their emphasis on numerical data and statistical analysis. These approaches often involve the use of structured instruments, such as surveys or questionnaires, designed to quantify variables and assess their relationships. The strength of quantitative methodologies lies in their ability to produce generalizable results and facilitate comparisons across large samples. Researchers may employ correlation coefficients to determine the strength and direction of relationships between variables, such as the correlation between physical activity levels and mental well-being.
Conversely, qualitative methodologies focus on notion the underlying meanings and experiences associated with phenomena. This approach is particularly valuable when exploring complex social behaviors or contextual factors that may influence relationships. Techniques such as interviews, focus groups, and observational studies allow researchers to gather rich, descriptive data that can illuminate the nuances of correlational relationships. Although qualitative research may not yield quantifiable results, it can provide deep insights into the "why" and "how" behind observed correlations.
This research book addresses the conjunction of artificial intelligence, data analysis and methodology tools that quantitative research offers to researchers interested in improving their systematization methods. Thus, the research objective is to identify patterns and techniques between artificial intelligence and the quantitative research paradigm with an emphasis on ethics and transdisciplinary.