Quantitative Research · KAEL Editorial Department
From research hypotheses to quantitative experiments
Quantitative research first requires a question that can be tested. You can judge whether the observed relationship is reliable by breaking down your ideas into clear conditions.
Write down the research hypothesis
Explain what information is used, what results are predicted, and what time scales apply. Vague judgments can easily be reinterpreted after an experiment, while clear hypotheses can leave a verifiable research record.
Separate development and evaluation
Data used for parameter adjustment during development should not play the role of final independent verification. Divide the training and evaluation intervals by time, and avoid repeatedly checking the evaluation results before continuing to make targeted adjustments.
Record failed experiments
Invalid results can also help narrow down the problem. Saving failed hypotheses and their reasons prevents teams from repeatedly exploring the same rejected path at different times.
