Answer:
The answer is single-factor design.
Step-by-step explanation:
As the name suggests, single-factor designs seek to study the effects of one independent variable on a dependent variable. The independent variable may be tested on different degrees in order to analyse the direct correlation between both variables.
Single-factor design usually has a preconceived hypothesis before the experiments are carried out.