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Wei, Xin; Haertel, Edward – Educational Measurement: Issues and Practice, 2011
Contemporary educational accountability systems, including state-level systems prescribed under No Child Left Behind as well as those envisioned under the "Race to the Top" comprehensive assessment competition, rely on school-level summaries of student test scores. The precision of these score summaries is almost always evaluated using models that…
Descriptors: Scores, Reliability, Computation, Generalizability Theory
Solano-Flores, Guillermo; Li, Min – Educational Measurement: Issues and Practice, 2009
We addressed the challenge of scoring cognitive interviews in research involving multiple cultural groups. We interviewed 123 fourth- and fifth-grade students from three cultural groups to probe how they related a mathematics item to their personal lives. Item meaningfulness--the tendency of students to relate the content and/or context of an item…
Descriptors: Generalizability Theory, Scoring, Error of Measurement, Grade 5
Raymond, Mark R.; Neustel, Sandra; Anderson, Dan – Educational Measurement: Issues and Practice, 2009
Examinees who take high-stakes assessments are usually given an opportunity to repeat the test if they are unsuccessful on their initial attempt. To prevent examinees from obtaining unfair score increases by memorizing the content of specific test items, testing agencies usually assign a different test form to repeat examinees. The use of multiple…
Descriptors: Test Results, Test Items, Testing, Aptitude Tests

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

Linn, Robert L.; Burton, Elizabeth – Educational Measurement: Issues and Practice, 1994
Generalizability of performance-based assessment scores across raters and tasks is examined, focusing on implications of generalizability analyses for specific uses and interpretations of assessment results. Although it seems probable that assessment conditions, task characteristics, and interactions with instructional experiences affect the…
Descriptors: Educational Assessment, Educational Experience, Generalizability Theory, Interaction
Solano-Flores, Guillermo; Li, Min – Educational Measurement: Issues and Practice, 2006
We contend that generalizability (G) theory allows the design of psychometric approaches to testing English-language learners (ELLs) that are consistent with current thinking in linguistics. We used G theory to estimate the amount of measurement error due to code (language or dialect). Fourth- and fifth-grade ELLs, native speakers of…
Descriptors: Foreign Countries, Grade 4, Grade 5, English (Second Language)

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