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Observational studies can provide valuable insights, but they have limitations. They can suggest associations between factors, but cannot prove causation. Factors like confounding variables and biases can impact the reliability of observational studies. It is important to interpret their results cautiously and consider other types of studies for more robust evidence.
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Why is an experiment better then an observational study?
An experiment allows for the researcher to manipulate variables and establish cause-and-effect relationships more effectively than an observational study. This control helps to minimize confounding variables and biases, making the results more reliable. Additionally, experiments often involve random assignment, which enhances the ability to draw conclusions about the relationships being studied.
Observational Learning Is Also Known As?
Observational learning is also known as social learning or modeling. This type of learning occurs through observing others and replicating their behaviors.
How are observational studies of populations different from experimental studies?
Observational studies observe natural phenomena without intervention, while experimental studies manipulate variables to determine cause and effect. Observational studies are useful for understanding associations, while experimental studies can establish causal relationships between variables. Experimental studies involve random assignment of participants to groups, while observational studies rely on natural groupings.
Observing and learning from the behaviors of those around you is called?
Observational learning or social learning. This process involves acquiring knowledge, skills, or information by watching and imitating others.
How is a controlled experiment different from an observational study?
In a controlled experiment, researchers manipulate variables to observe their effect on outcomes, while in an observational study, researchers observe natural variations in variables without manipulating them. Controlled experiments allow for stronger causal inferences compared to observational studies because they can establish cause-and-effect relationships.
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