Creating Bonafide Research-2 External & 4 Internal Validity YouTube Lecture Handouts

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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

Image of External Validity

Image of External Validity

Image of External Validity

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

Image of Construct Validity

Image of Construct Validity

Image of Construct Validity

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

Image of Crierion Validity

Image of Crierion Validity

Image of Crierion Validity

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.