When the consistency of data collected is measured at different points of time, it is identified as.

The correct option is Test-retest reliability.

Reliability in research and statistics refers to the consistency and stability of a measurement instrument or method over time. When we want to evaluate how consistent our results are when the same test or measurement is administered to the same group of participants at two or more different points in time, we are assessing its test-retest reliability.
For example, if a person takes an IQ test today and then takes the same IQ test a month later under similar conditions, a high correlation between the two scores indicates strong test-retest reliability.

To understand why this option is correct, let's briefly distinguish it from the other options:
1. Inter-rater reliability measures the level of agreement or consistency between different observers, raters, or judges evaluating the same phenomena.
2. Split-half reliability measures internal consistency by dividing a test into two comparable halves and correlating the scores of the two halves.
3. Internal reliability (or internal consistency) assesses how well different items on the same test or instrument measure the same construct.

Because the question specifically refers to measuring consistency at different points in time using the same measure, it refers to Test-retest reliability.