Final answer:
Complete counterbalancing in experimental design includes randomization, counterbalancing, and control variables to control for bias and confounding variables.
Step-by-step explanation:
Complete counterbalancing is a technique used in experimental design to control for potential sources of bias or confounding variables. It involves systematically varying the order in which different treatments or conditions are presented to participants. The requirements for complete counterbalancing include randomization, counterbalancing, and control. Randomization ensures that participants are assigned to different treatment orders in a random and unbiased manner. Counterbalancing refers to systematically varying the order of treatments to control for order effects, ensuring that each treatment is equally likely to be presented first, second, or later in the sequence. Control variables are another important requirement, as they allow researchers to hold constant factors that could potentially influence the dependent variable.