Creating Bonafide Research - 2 External & 4 Internal Validity YouTube Lecture Handouts for NET, IAS, State-SET (KSET, WBSET, MPSET, etc.), GATE, CUET, Olympiads etc.
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Creating Bonafide Research - 2 External & 4 Internal Validity
Validity
- It is an extent to which a concept, conclusion or measurement.
- It is well-founded and corresponds accurately to the real world.
- A measurement tool.
Internal Validity
- Test what it is supposed to Measure.
- Refers to how well an experiment is done specially whether it avoids confounding.
External Validity
- It is a validity of generalized inferences in scientific research.
- Usually based on experiments as experimental validity.
How well it can be generalized to others
Population Validity
- How well the sample can be extrapolated to a population as a whole
Ecological Validity
- Test environment & determines how much it influences behavior
Construct Validity
Association of Test with Theory
Convergent Validity
- Test returns similar results with other tests.
Discriminant Validity
- Doesn՚t measure what it isn՚t meant to measure.
- Also known as divergent validity tests.
- Campbell and Fiske (1959) introduced the concept of discriminant validity.
Content/Face Validity
On the Face of it, does it looks like what it is supposed to measure
Formative Validity
- Assess how well a measure is able to provide information to improve program.
- Example: When designing a rubric for history one could assess student՚s knowledge across the discipline.
Sampling Validity
- Sampling from all domains and limit expert biasness.
- Focused on the breadth of items item validity focuses on their depth.
✍ Manishika