Quantitative research is a method of inquiry that focuses on collecting and analyzing numerical data. In other words, it deals with information that can be quantified or measured in numbers. This allows researchers to identify patterns, trends, and relationships between variables.
Here are some key characteristics of quantitative research:
Note: Imposed Numerical Values
Sometimes researchers look at qualities or characteristics that aren't inherently numerical and assign numbers to represent them. For example, a survey might ask you to rate your satisfaction on a scale of 1 to 5 (1 being least satisfied). Here, the numbers represent levels of satisfaction, a concept that isn't inherently numerical.
A randomized controlled trial (RCT) is a scientific experiment considered the gold standard for testing the effectiveness of interventions like medications, treatments, or even educational programs. It involves splitting participants into groups and randomly assigning them to receive either the intervention being studied (experimental group) or a control condition (control group).
RCTs are a form of quantitative research. They rely on measuring outcomes and statistically analyzing the data to determine if the intervention has a statistically significant effect. This measured data allows researchers to compare the results between the groups objectively and draw conclusions about the effectiveness of the intervention.