Final answer:
The statement is false; multiple baseline methods are not the best way to eliminate demand characteristics but are used in behavioral research. To reduce demand characteristics, other techniques like deception and blind procedures are employed.
Step-by-step explanation:
The statement that the best way to eliminate demand characteristics is to use a multiple baseline method is false. Demand characteristics refer to cues that participants pick up on that allow them to guess the hypothesis of an experiment, which can alter their behavior in response. Multiple baseline designs are a type of single-subject experimental design used primarily in behavioral research to establish causal relationships without the need to use large groups for comparison.
While multiple baseline designs can help reduce some forms of experimental bias, they are not specifically targeted at eliminating demand characteristics. Techniques such as deception, single-blind or double-blind procedures, and other methodological controls are typically used to minimize demand characteristics.
To address the true or false statements provided:
- Experiments can be done on humans, but they must adhere to ethical standards.
- Larger sample sizes are generally better than smaller ones in scientific experiments because they tend to produce more reliable and generalizable results.
It is important to note that any type of experimental design must consider and address potential confounds such as demand characteristics to validate the findings.