Quantitative research is used in many fields of study, including psychology, digital experience intelligence, economics, demography, marketing, political science, sociology, epidemiology, gender studies, health, and human development. Quantitative research is used less commonly in fields such as history and anthropology. Many people who are seeking advanced degrees in a scientific field use quantitative research as part of their studies.

Quantitative data serves many different purposes across industries and personal uses. So much of its inherent value can be found in its name. For starters, data is easily quantified, which means that data collection and analysis are quicker and involve less complicated processes than in qualitative research. Also, since this data is quantifiable and can only include a certain range of values, it allows the researcher to more easily collect unbiased data from the population. Read More.

Quantitative researchers do everything they can to ensure data’s objectivity by eliminating bias in the collection and analysis process. However, there are factors that can cause quantitative data to be biased. For example, selection bias can occur when certain individuals are more likely to be selected for study than others. Other types of bias include reporting bias, attrition bias, recall bias, observer bias, and others.