Coefficient alpha and the internal structure of tests

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334.

Type

Journal article

Intellectual base

Primary research

Year

1951

Link

https://doi.org/10.1007/bf02310555matched

Cited from

education_pedagogy, statistics_experimental_design

Cited by

2 citations across 2 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Measurement Uncertainty and Observational Noise
  • Measurement noise creates uncertainty in what organizational performance truly is, a problem Cronbach (1951) addressed by introducing coefficient alpha as a reliability index for composite measurements.

    This sourceCanonical psychometric paper: introduces coefficient alpha as a reliability index quantifying how much measurement noise (item inconsistency, observer variation) corrupts the inferred construct in surveys, KPIs, and composite organizational metrics.

• Summative Assessment
  • Summative assessment manages the complexity of certifying achievement across large numbers of learners, institutions, and jurisdictions by committing to shared measurement frameworks (content standards, test blueprints, scoring rubrics, scale scores) that enable comparable judgments — frameworks whose internal consistency rests on classical reliability theory in the lineage of Cronbach's (1951) coefficient alpha.

    This sourceCanonical psychometric paper: introduces coefficient alpha as a reliability index quantifying how much measurement noise (item inconsistency, observer variation) corrupts the inferred construct in surveys, KPIs, and composite organizational metrics.

Verification

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