Reliability Testing
Updated 2026-08-10
INTRODUCTION
English translation pending.
CORE DEFINITION
Reliability testing evaluates the consistency of a measurement: whether repeated measurements of the same object stay stable. Its forms include test-retest reliability, internal consistency, and inter-rater reliability, quantified with indicators such as Cronbach's alpha and the ICC. Reliability asks whether the measurement is stable, while validity asks whether it is correct; a loose ruler gives a different length every time.
SCAFFOLDING EFFECT
Reduce cognitive load
- Separate the two questions: first ask whether the measure is stable, then whether it measures the right thing - Quantify the wobble: score consistency with alpha or the ICC before trusting the instrument - Fix the ruler: revise items or raise the sample size when the consistency score is low
Anchor fast decisions
Reliability is the stability of a measurement, independent of what it measures, which is the separate question of validity. Test-retest checks agreement across time, internal consistency checks agreement among items with Cronbach's alpha, and inter-rater reliability checks agreement among scorers with the ICC. Since an unreliable measurement cannot be valid, reliability is the prerequisite reported first.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Reliability_engineeringverified
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