Threats to Validity
Research Study Designs
Establishing Causality
Solutions To Threats
100

The threat to validity that refers to subject loss and participant dropouts

Attrition

100

In this type of study, variables are measured as they exist naturally. Nothing is manipulated. 

Correlational Design

100

If X causes Y, we must be able to say that X comes first

Temporal Order

100

Solution to history 

Block Randomization

200

The threat to validity that refers to pre-existing characteristic differences that may account for the results.

Selection

200

In this type of study, something is manipulated and something else is measured.

Experimental Design

200

To say that X causes Y, we must be able to say that A,B,and C do not cause Y

Denial of Plausible Explanations

200

Solution to selection

Random Assignment

300

The threat to validity that refers to changes in a measuring tool during the collection of data. 

Instrumentation

300

In this type of study, there is more than one independent variable. Each participant experiences every condition.

Within-Subjects Factorial Design

300

Changes in one variable are associated with changes in the other variable

Covariation

300

Solution to Testing

avoid pretesting when possible

ensure that all participants complete the pretest similarly

400

Threat to validity that refers to events that occur while the study is being conducted separate from the experiment.

History

400

Similar to an experimental design, but participants are not randomly assigned to a condition.

Quasi-Experimental Design

400

The possibility that variable Z, and not X, is the true cause of Y

Third Variable Problem

400

Solution to instrumentation

exclude participants with extreme scores on a measure

500

Threat to validity that refers to the way participants may naturally change over time.

Maturation

500

There is more than one Independent Variable. Each participant experiences only one condition.

Between Subjects Factorial Design

500

Does X cause Y or does Y cause X?

Bidirectionality Problem or Two-Way Causality Problem

500

solution to attrition

establish differences between participants who stay and who drop out

establish why participants drop out