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In a functional Analysis, What are the experimental conditions that are typically studied?

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In functional analysis, the experimental conditions studied include manipulating the independent variable to determine its effect on the dependent variable, comparing experimental and control groups, and using random assignment and blinding to ensure validity and reduce bias. Ethical considerations are paramount in experimental design.

Step-by-step explanation:

Experimental Conditions in Functional Analysis

In a functional analysis which refers to an experiment type of scientific investigation that is performed under controlled conditions, several key conditions are typically addressed. The independent variable, or the experimental condition, is deliberately manipulated by the researcher to observe its effect on the dependent variable, which is the response being measured.

The experimental group is exposed to the independent variable while the control group is not. This allows for a direct comparison to determine the effect of the experimental manipulation. In addition, random assignment of participants to groups helps to ensure that the groups are equivalent at the start of the experiment, reducing bias and increasing the reliability of results.

To maintain experimental integrity, participants, and sometimes researchers, are often blinded to group assignments. Sophisticated statistical analyses are then employed to determine if there are significant differences between the groups that can be attributed to the independent variable rather than to chance.

Ethical considerations are also paramount in experimental design. Unethical experiments, such as those that would require harm to participants, are not permitted, and researchers must ensure the benefits of the research outweigh any potential risks.

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