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.
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.
Supported in partVerified against the work's full text
Cronbach's paper presents coefficient alpha as an index of equivalence among the items of a test, which backs the reliability-index half of the claim but carries nothing about organizational performance.
“α is found to be an appropriate index of equivalence and, except for very short tests, of the first-factor concentration in the test.”
- 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.
- 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.
Supported in partVerified against the publisher's abstract
Cronbach (1951) supplies the classical reliability index itself — alpha as a general internal-consistency formula — but nothing about summative assessment or shared frameworks.
“A general formula ( α ) of which a special case is the Kuder-Richardson coefficient of equivalence is shown to be the mean of all split-half …”
- 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.
Verification¶
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