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Bidirectional Ambiguity
A situation where two correlated variables could each be the cause of the other, and the design cannot tell which.
Causation
A relationship in which a change in one variable produces a change in another.
Cause-Effect Relationships
A relationship in which a change in the independent variable directly produces a change in the dependent variable.
Confounding Variable
An unmeasured variable that influences both the proposed cause and the proposed effect, producing a spurious correlation.
Correlation
A statistical association between two variables, captured by the correlation coefficient r, which runs from -1 to +1.
Quasi-Experiment
A research design that compares groups on a pre-existing variable the researcher cannot manipulate or randomly assign.
Random Assignment
Sorting participants into experimental conditions by chance, so each participant has an equal probability of being in any condition.
True Experiment
A research design that manipulates the independent variable, randomly assigns participants to conditions, and controls confounding variables.