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Discuss the different types of reliability and validity that can be measured in survey research, specifically: convergent validity, discriminant validity, construct validity, test-retest reliability, and internal consistency reliability. What can researchers do to improve upon these different types of reliability and validity in a survey?

Inter-Rater or Inter-Observer Reliability is used to assess the degree to which different raters/observers give consistent estimates of the same phenomenon. Test-Retest Reliability is used to assess the consistency of a measure from one time to another. Parallel-Forms Reliability is used to assess the consistency of the results of two tests constructed in the same way from the same content domain. Internal Consistency Reliability is used to assess the consistency of results across items within a test.
Construct validity occurs when the theoretical constructs of cause and effect accurately represent the real-world situations they are intended to model. This is related to how well the experiment is operationalized. A good experiment turns the theory (constructs) into actual things you can measure. Sometimes just finding out more about the construct (which itself must be valid) can be helpful.
Convergent validity occurs where measures of constructs that are expected to correlate do so. This is similar to concurrent validity (which looks for correlation with other tests).

Discriminant validity occurs where constructs that are expected not to relate do not, such that it is possible to discriminate between these constructs.
Convergence and discrimination are often demonstrated by correlation of the measures used within constructs. Convergent validity and Discriminant validity together demonstrate construct validity.

Content validity occurs when the experiment provides adequate coverage of the subject being studied. This

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