What reliability concept helps measure the internal consistency of a test using psychometric analysis?

The concept that measures the internal consistency of a test using psychometric analysis is Kuder-Richardson Reliability. This method specifically assesses the consistency of results across items within a single test, which is particularly useful for tests that yield dichotomous (yes/no) responses.

When calculating Kuder-Richardson Reliability, researchers examine how closely related the items are as a group, determining the degree to which they measure the same construct. High values indicate that items are similarly scoring, which suggests that the test is measuring a consistent trait.

Other concepts mentioned serve different purposes. Test-Retest Reliability is focused on the stability of test scores over time by administering the same test to the same subjects at different points in time. Split-Half Reliability involves dividing a test into two halves and comparing the scores to assess consistency but does not specifically use a formula tailored for dichotomous items. The Standard Error of Estimate is a statistical measure used to indicate the degree of error in predictions rather than to measure internal consistency.

Thus, Kuder-Richardson Reliability is the most appropriate choice for assessing internal consistency in a test setting.