Descriptor
| Generalizability Theory | 3 |
| Mathematical Models | 3 |
| Test Theory | 3 |
| Error of Measurement | 2 |
| Ability | 1 |
| Analysis of Variance | 1 |
| Data Analysis | 1 |
| Data Interpretation | 1 |
| Equations (Mathematics) | 1 |
| Factor Analysis | 1 |
| Item Response Theory | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Opinion Papers | 2 |
| Guides - Classroom - Learner | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedMcDonald, Roderick P. – Psychometrika, 1986
There is a unity underlying the diversity of models for the analysis of multivariate data. Essentially, they constitute a family of models, most generally nonlinear, for structural/functional relations between variables drawn from a behavior domain. (Author)
Descriptors: Factor Analysis, Generalizability Theory, Latent Trait Theory, Mathematical Models
Peer reviewedBrennan, Robert L. – Educational Measurement: Issues and Practice, 1992
The framework and procedures of generalizability theory are introduced and illustrated in this instructional module that uses a hypothetical scenario involving writing proficiency. Generalizability analyses are useful for understanding the relative importance of various sources of error and for designing efficient measurement procedures. (SLD)
Descriptors: Analysis of Variance, Data Interpretation, Equations (Mathematics), Error of Measurement
Download full textHaertel, Edward H. – 1992
Classical test theory, item response theory, and generalizability theory all treat the abilities to be measured as continuous variables, and the items of a test as independent probes of underlying continua. These models are well-suited to measuring the broad, diffuse traits of traditional differential psychology, but not for measuring the outcomes…
Descriptors: Ability, Data Analysis, Error of Measurement, Generalizability Theory
