Quantitative research is considered the most objective form of research. As it uses numerical data and statistical analysis, qualitative research is seen as less open to interpretation and bias than it is.
Quantitative research tests hypotheses and predictions about the relationships between variables by using numerical data and statistical analysis. To collect numerical data on a particular issue, quantitative research methods, including experiments, surveys, and statistical analysis, are utilized. This data is then evaluated using statistical methods to find patterns and linkages. This study is very helpful for figuring out cause-and-effect links and drawing broad conclusions about huge populations of individuals.
Also Read: Difference Between Qualitative and Quantitative Research Methods
For example, a quantitative study that uses a survey or experiment to measure attitudes or behaviors can provide a detailed understanding of how a particular phenomenon relates to various factors such as demographics, social context, or personal characteristics.
One advantage of quantitative research is that it frequently uses a systematic, standardized methodology, which indicates that the data collection, data analysis, and study design were all properly planned and carried out by accepted protocols and procedures. That makes it more likely that the study is trustworthy and legitimate and that other researchers will be able to reproduce the findings.