A. The extent to which a test appears to measure what it claims to measure. B. The degree to which test scores predict future outcomes. C. The internal consistency of a test. D. The relationship between two variables.

A. Correlation implies causation. B. Causation implies correlation. C. Correlation measures the strength of a relationship, causation means one variable directly affects another. D. Causation measures the strength of a relationship, correlation means one variable directly affects another.

A. The probability of the results occurring by chance. B. The reliability of the measurement. C. The strength of the relationship between two variables. D. The difference between the means of two groups.

A. To eliminate measurement errors. B. To make factors more interpretable by simplifying data structure. C. To increase the number of variables. D. To validate the research design.

A. Neither the participants nor the researchers know which group participants are in. B. The participants know which group they are in, but the researchers do not. C. The researchers know which group participants are in, but the participants do not. D. Both participants and researchers know which group participants are in.