Descriptor
Source
Educational Measurement:… | 4 |
Author
Brennan, Robert L. | 4 |
Johnson, Eugene G. | 1 |
Publication Type
Journal Articles | 4 |
Reports - Evaluative | 2 |
Guides - Classroom - Learner | 1 |
Information Analyses | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating

Brennan, Robert L. – Educational Measurement: Issues and Practice, 2000
Reviews some of the more salient conceptual features of generalizability (G) theory. Provides a framework for considering some misconceptions about G theory. Focuses on particularly prevalent or serious misconceptions. G theory provides a rich conceptual framework and tools for working with a defined universe, but it does not tell an investigator…
Descriptors: Generalizability Theory, Models, Research Methodology

Brennan, Robert L. – Educational Measurement: Issues and Practice, 1997
The history of generalizability theory (G theory) is told from the perspective of one researcher's experiences, describing psychometric and scientific perspectives that influenced the development of G theory and its adoption. Work that remains to be done in the field is outlined. (SLD)
Descriptors: Educational Testing, Generalizability Theory, Measurement, Psychometrics

Brennan, Robert L.; Johnson, Eugene G. – Educational Measurement: Issues and Practice, 1995
The application of generalizability theory to the reliability and error variance estimation for performance assessment scores is discussed. Decision makers concerned with performance assessment need to realize the restrictions that limit generalizability such as limitations that lead to reductions in the number of tasks possible, rater quality,…
Descriptors: Decision Making, Educational Assessment, Error of Measurement, Estimation (Mathematics)

Brennan, 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