Quantitative researchers aim to create a general understanding of behavior and other phenomena across different settings and populations. Quantitative studies are often fast, focused, scientific and relatable.4
The speed and efficiency of the quantitative method are attractive to many researchers. Data computing equipment makes it possible to process and analyze data quickly, even with large sample sizes. Surveys, polls, statistical analysis software and weather thermometers are all examples of instruments used to collect and measure quantitative data.
Researchers can clearly communicate quantitative results using unbiased statistics. When performed correctly, an analysis allows researchers to make predictions and generalizations to larger, more universal populations outside the test sample.1 This is particularly useful in social science research.
Quantitative studies are focused. The goals and design of the study are determined from the beginning, and the research serves to test the initial theory and determine whether it is true or false. Researchers like the control and simplicity.
If well designed, quantitative studies are relatable in the sense that they are designed to make predictions, discover facts and test existing hypotheses. Researchers use these studies to test theories about how or why certain events occur by finding evidence that supports or disproves the theories.
Experienced researchers know that all study methods have their flaws. Reliable quantitative research requires the knowledge and skills to scrutinize your findings thoroughly. This means carefully considering and reporting on your test variables, predictions, data collection and testing methods before developing your final conclusion.
Findings can be generalized if your selection process is well designed and the test sample is an appropriate representation of the population being studied.