MEDICAL PHYSIOLOGY

Detailed explanation-1: -Answer and Explanation: This is false. Correlational research can never prove a cause and effect relationship, it can only speak to relationships between variables.

Detailed explanation-2: -The correlation coefficient should not be used to say anything about cause and effect relationship. By examining the value of ‘r’, we may conclude that two variables are related, but that ‘r’ value does not tell us if one variable was the cause of the change in the other.

Detailed explanation-3: -A correlational study is used to examine the relationship between two variables but cannot determine whether it is a cause and effect relationship. This statement is absolutely correct. Only if a true experiment has taken place are cause and effect relationships able to be inferred by the data.

Detailed explanation-4: -A correlational research design investigates relationships between two variables (or more) without the researcher controlling or manipulating any of them. It’s a non-experimental type of quantitative research.

Detailed explanation-5: -A correlation is a statistical indicator of the relationship between variables. Causation means that changes in one variable brings about changes in the other; there is a cause-and-effect relationship between variables. The two variables are correlated with each other, and there’s also a causal link between them.