Generalizability theory, the Glossary
Generalizability theory, or G theory, is a statistical framework for conceptualizing, investigating, and designing reliable observations.[1]
Table of Contents
7 relations: Analysis of variance, Classical test theory, Goldine Gleser, Item response theory, Lee Cronbach, Observation, Reliability (statistics).
- Statistical theory
Analysis of variance
Analysis of variance (ANOVA) is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between groups) used to analyze the differences among means.
See Generalizability theory and Analysis of variance
Classical test theory
Classical test theory (CTT) is a body of related psychometric theory that predicts outcomes of psychological testing such as the difficulty of items or the ability of test-takers. Generalizability theory and Classical test theory are statistical theory.
See Generalizability theory and Classical test theory
Goldine Gleser
Goldine C. Gleser (1915 – 2004) was an American psychologist and statistician known for her research on the statistics of psychological testing, on generalizability theory, on defence mechanisms, on the psychological effects on child survivors of the Buffalo Creek flood, for her work with Mildred Trotter on estimation of stature, and for her participation in the Cincinnati Radiation Experiments.
See Generalizability theory and Goldine Gleser
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.
See Generalizability theory and Item response theory
Lee Cronbach
Lee Joseph Cronbach (April 22, 1916 – October 1, 2001) was an American educational psychologist who made contributions to psychological testing and measurement.
See Generalizability theory and Lee Cronbach
Observation
Observation in the natural sciences is an act or instance of noticing or perceiving and the acquisition of information from a primary source.
See Generalizability theory and Observation
Reliability (statistics)
In statistics and psychometrics, reliability is the overall consistency of a measure.
See Generalizability theory and Reliability (statistics)
See also
Statistical theory
- Algebraic statistics
- Ancillary statistic
- Asymptotic theory (statistics)
- Average variance extracted
- Bayesian statistics
- Big O in probability notation
- Classical test theory
- Completeness (statistics)
- Conditional expectation
- Decoupling (probability)
- Deficiency (statistics)
- Degrees of freedom (statistics)
- Design of experiments
- Directional statistics
- Dudley's entropy integral
- Empirical characteristic function
- Extreme value theory
- Generalizability theory
- Generalized renewal process
- Goodness of fit
- Independent and identically distributed random variables
- Information theory
- Likelihood
- MAGIC criteria
- Mathematical statistics
- Multivalued treatment
- Negative log predictive density
- Observational equivalence
- Optimal experimental design
- Pivotal quantity
- Probability interpretations
- Quadratic form (statistics)
- Statistical assumption
- Statistical inference
- Statistical interference
- Statistical model
- Statistical models
- Statistical population
- Statistical randomness
- Statistical theory
- Sufficient statistic
- Theory of conjoint measurement
- Uncertain data
- Uncertainty quantification
References
[1] https://en.wikipedia.org/wiki/Generalizability_theory
Also known as Generalisability theory, Generalizability.