Correlational Research Designs and Causation Quiz

Correlational research involves describing the relationship between variables without manipulating them.

A positive correlation in correlational research indicates that as one variable increases, the other variable also increases.

In an experiment, the independent variable is manipulated by the researcher.

Experimental design is the type of research design that allows researchers to establish causality.

The purpose of a control group in experimental research is to serve as a baseline for comparison with the experimental group.

The major limitation of correlational research is the difficulty in determining cause-and-effect relationships.

The correlation coefficient is used to determine the strength and direction of a correlation in correlational research.

Temporal precedence is a requirement for establishing causation in research.

A confounding variable in research is a variable that distorts the relationship between the independent and dependent variables.

The purpose of random assignment in experimental research is to ensure that each participant has an equal chance of being assigned to any condition.

The key difference between correlational and experimental research is that experimental research examines cause-and-effect relationships, while correlational research does not.

A potential limitation of experimental research is the difficulty in generalizing results to real-world settings.

A correlation coefficient of -0.70 in correlational research indicates a strong negative correlation.