Summary
Cronbach's alpha (Cronbach's ), also known as rho-equivalent reliability () or coefficient alpha (coefficient ), is a reliability coefficient and a measure of the internal consistency of tests and measures. Numerous studies warn against using it unconditionally. Reliability coefficients based on structural equation modeling (SEM) or generalizability theory are superior alternatives in many situations. Lee Cronbach first named the coefficient in 1951 with his initial publication, Cronbach's alpha. The publication also conceived an additional method to derive it, after implicit use in previous studies. His interpretation of the coefficient was thought to be more intuitively attractive compared to those of previous studies. This made them quite popular. In 1967, Melvin Novick and Charles Lewis proved that is equal to reliability if the true scores of the compared tests or measures vary by a constant, which is independent of the persons measured. In this case, the tests or measurements are said to be "essentially tau-equivalent". In 1978, Cronbach asserted that the reason his initial 1951 publication was widely cited was "mostly because [he] put a brand name on a common-place coefficient." He explained that he had originally planned to name other types of reliability coefficients, such as those used in inter-rater reliability and test-retest reliability, after consecutive Greek letters (i.e., , , etc.), but later changed his mind. Later, in 2004, Cronbach and Richard Shavelson encouraged readers to use generalizability theory rather than . Cronbach opposed the use of the name "Cronbach's alpha" and explicitly denied the existence of studies that had published the general formula of KR-20 prior to Cronbach's 1951 publication of the same name. In order to use Cronbach's alpha as a reliability coefficient, the following conditions must be met: The data is normally distributed and linear; The compared tests or measures are essentially tau-equivalent; Errors in the measurements are independent.
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Ontological neighbourhood
Related lectures (6)
Volume Calculation in Decoding Regions
Covers volume calculation in decoding regions for signal transmission trade-offs.
Gossip Techniques: Reliability and Efficiency
Covers gossip techniques for efficient and reliable communication in networks.
Dependability Overview
Explores dependability in industrial automation, covering reliability, safety, fault characteristics, and examples of failure sources in various industries.
Show more
Related publications (15)
Related concepts (3)
Reliability (statistics)
In statistics and psychometrics, reliability is the overall consistency of a measure. A measure is said to have a high reliability if it produces similar results under consistent conditions:"It is the characteristic of a set of test scores that relates to the amount of random error from the measurement process that might be embedded in the scores. Scores that are highly reliable are precise, reproducible, and consistent from one testing occasion to another.
Item response theory
In psychometrics, item response theory (IRT) (also known as latent trait theory, strong true score theory, or modern mental test theory) is a paradigm for the design, analysis, and scoring of tests, questionnaires, and similar instruments measuring abilities, attitudes, or other variables. It is a theory of testing based on the relationship between individuals' performances on a test item and the test takers' levels of performance on an overall measure of the ability that item was designed to measure.
Psychometrics
Psychometrics is a field of study within psychology concerned with the theory and technique of measurement. Psychometrics generally refers to specialized fields within psychology and education devoted to testing, measurement, assessment, and related activities. Psychometrics is concerned with the objective measurement of latent constructs that cannot be directly observed. Examples of latent constructs include intelligence, introversion, mental disorders, and educational achievement.