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Loss of subjects varies across experimental conditions.
Controls for the effects of history in a trend analysis by comparing a group exposed to the treatment with other groups that are not.
May be confounded with the independent variable when a single group is studied over an extended period of time.
Resembles the one-group pretest-posttest design except multiple observations are made before and after the treatment.
This design eliminates the possibility of testing-X interaction.
Selection and differential attribution are the primary threats to internal validity of this design.
The effect of X on Y depends on Z.
Pretests and posttests are administered to experimental conditions but random assignment is not possible.
May occur when measurement of the dependent variable varies over time or experimental conditions.
An experiment in which two or more variables are manipulated.
A potential threat to validity when subjects are selected on the basis of their extreme scores on the dependent variable.
A matter of how well an experiment controls for the effects of extraneous variables.