What is the main purpose of control in quantitative research?

The main purpose of control in quantitative research is to avoid bias. In quantitative studies, researchers strive to ensure that the results reflect the true effect of the variables being studied rather than any extraneous factors that might influence the outcomes. By implementing control measures, such as using random assignment, blinding, and standardized protocols, researchers can minimize the impact of confounding variables and biases that could skew the results.

This controlled approach strengthens the internal validity of the research, leading to more reliable and accurate conclusions. By keeping variables constant or controlling for them, researchers can isolate the specific effects of the independent variable on the dependent variable, providing clearer insights into causal relationships.

While ensuring variance in data and managing complexity are important aspects of research, they are not the primary focus of control in quantitative research. Similarly, while creativity can enhance study design, it is not a central tenet of control, which emphasizes the systematic management of variables to maintain objectivity and rigour in the findings.