Correlation is a relationship between two variables where they change together, but it doesn't mean one causes the other. Causation, on the other hand, implies that one variable directly causes a change in the other.
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Causation refers to a direct cause-and-effect relationship between two variables, where one variable directly influences the other. Correlation, on the other hand, refers to a relationship between two variables where they tend to change together, but one variable may not necessarily cause the change in the other.
Analytical statements in research findings are statements that interpret and explain the data collected. For example, "The data suggests a correlation between exercise frequency and mental health outcomes" or "The results indicate a significant difference in test scores between the experimental and control groups."
The keyword "p" represents a statement that is true, while "not p" represents the negation of that statement, meaning it is false.
An objective perspective is based on facts and observable evidence, while a subjective perspective is influenced by personal opinions, feelings, and experiences.
Explanatory research aims to explain why something happens, while descriptive research focuses on describing a phenomenon without explaining it.