Quantitative Research
Quantitative research is a type of research that seeks to measure and analyze numerical data to answer research questions and test hypotheses. It involves collecting and analyzing data through methods such as surveys, experiments, and statistical analysis. Quantitative research is often used in natural sciences, social sciences, and business research.
Quantitative research is typically deductive in nature, meaning that it begins with a hypothesis and seeks to test it through statistical analysis. It often relies on large sample sizes to increase the accuracy and generalization of the results.
Some advantages of quantitative research include its ability to provide precise and statistically significant results, its ability to generalize findings to larger populations, and its ability to identify cause-and-effect relationships. However, it may not capture the complexity and richness of human experiences and may not provide detailed insights into attitudes and behaviors.
Below are examples included in the BRMR’S quantitative research:
1. Surveys: This involves collecting numerical data through a questionnaire that is distributed to a sample of individuals.
2. Experiments: This involves manipulating variables in a controlled environment to test the effect on an outcome.
3. Observational studies: This involves collecting numerical data by observing and recording behavior and interactions of individuals in natural settings.
4. Secondary data analysis: This involves analyzing numerical data that has already been collected by other researchers or organizations.
Overall, quantitative research is a valuable method for testing hypotheses and identifying cause-and-effect relationships. Its ability to provide precise and statistically significant results can be useful in informing decision-making, although it may not capture the complexity of human experiences and attitudes.
