Quantitative analysis

Quantitative analysis refers to the systematic empirical investigation of observable phenomena via statistical, mathematical, or computational techniques. The objective of quantitative research is to develop and employ mathematical models, theories, and hypotheses pertaining to phenomena. The process of measurement is central to quantitative research because it provides the fundamental connection between empirical observation and mathematical expression of quantitative relationships.

Overview

Quantitative analysis can be described as a means of understanding and interpreting phenomena that are complex and intricate. It is a method that is used in many different disciplines, including economics, finance, healthcare, and social sciences. The main goal of quantitative analysis is to quantify data and generalize results from a sample to the population of interest.

Methods

There are several methods used in quantitative analysis, including survey research, statistical analysis, and experimental research. These methods allow researchers to collect numerical data and analyze it to find patterns, trends, and relationships.

Survey Research

Survey research is a method in which data is collected from a sample of individuals through their responses to questions. This method is often used in opinion polling and market research.

Statistical Analysis

Statistical analysis involves the collection, analysis, interpretation, presentation, and modeling of data. It applies to a wide variety of academic disciplines, from the physical and social sciences to the humanities.

Experimental Research

Experimental research is a method used by researchers through careful observation, manipulation and control of variables. The researcher decides where the experiment will take place, at what time, with which participants, in what circumstances and using a standardized procedure.

Applications

Quantitative analysis is used in various fields, including economics, finance, healthcare, and social sciences. In economics, it is used to understand and predict economic behavior. In finance, it is used to analyze financial markets and make investment decisions. In healthcare, it is used to analyze patient data and improve patient care. In social sciences, it is used to understand social behavior and trends.

See Also

• Qualitative analysis
• Data analysis
• Statistical analysis
• Experimental research

References

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