Reliability refers to the consistency and stability of a measurement or test over time, across different conditions, and among different raters.
Imagine you have a clock that always shows the correct time. It doesn't matter if it's sunny, rainy, or snowy outside; this clock remains reliable. However, if you have another clock that randomly jumps forward or backward in time, it lacks reliability because you can't trust its accuracy.
Test-Retest Reliability: Test-retest reliability measures how consistent scores are when individuals take the same test on two separate occasions.
Inter-rater Reliability: Inter-rater reliability assesses how consistent ratings or measurements are when multiple observers rate or measure the same thing.
Internal Consistency Reliability: Internal consistency reliability examines how closely related items within a single test measure similar constructs.
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