Internal Validity
Internal validity refers to the possibility that the the conclusions drawn from the results of the study accurately reflect the experiment itself1. Internal validity determines whether the study was setup in a way that will accurately answer the initial question without influence of other variables.
Types
- Statistical Validity
- Face Validity
- Criterior-related Validity:
- Concurrent Validity
- Predictive validity
- Prescriptive validity
- Content validity
- Construct validity
- Convergent
- Discriminant (Divergent)
Threats to Internal Validity
Systematic Error
Maturation Bias refers to the error of assuming group change over time is due to the independent variable and not natural improvement over time.
Testing Effects: Systematic error created by a problem with the experimental setup that will create a difference in one group and not the other.
Ambiguous Causation: Error that occurs when researchers incorrectly interpret correlations/associations between variables as causal effects.
History Effects
Regression of the Mean