Statements A, B, C and D accurately describe four major approaches to estimating reliability. Test–retest checks stability over time, split-half compares two portions of a test, inter-rater focuses on agreement among scorers and internal consistency examines how well items hang together. Statement E is false because reliability estimates can differ across samples due to sample characteristics and context. Thus the correct combination includes A, B, C and D and excludes E.
Option A:
Option A is incomplete because it omits D, thereby ignoring internal consistency, which is widely used in research on scales and questionnaires. Leaving out D means the set of reliability types is not fully represented.
Option B:
Option B is incorrect because it includes E, the claim that reliability is invariant across samples. This ignores the reality that sample heterogeneity and conditions can alter reliability estimates.
Option C:
Option C is wrong because it omits A and includes only B, C and D, thereby failing to mention the concept of temporal stability, which is central to many testing situations. Without A, the picture of reliability types is partial.
Option D:
Option D is correct because it presents all four accepted reliability estimation methods and omits E, which overstates the stability of reliability estimates. It reflects the understanding that reliability must be examined across contexts and samples.
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