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Li, Feifei – ETS Research Report Series, 2017
An information-correction method for testlet-based tests is introduced. This method takes advantage of both generalizability theory (GT) and item response theory (IRT). The measurement error for the examinee proficiency parameter is often underestimated when a unidimensional conditional-independence IRT model is specified for a testlet dataset. By…
Descriptors: Item Response Theory, Generalizability Theory, Tests, Error of Measurement
Pereira, Nielsen; Bakhiet, Salaheldin Farah; Gentry, Marcia; Balhmar, Tahani Abdulrahman; Hakami, Sultan Mohammed – Journal of Advanced Academics, 2017
This study examined the psychometric properties and measurement invariance of the Arabic version of "My Class Activities" (MCA), an instrument designed to measure students' perceptions of interest, challenge, choice, and enjoyment in classrooms. Scores of 3,516 Sudanese students in Grades 2 to 8 were used. Confirmatory factor analysis…
Descriptors: Student Attitudes, Factor Analysis, Comparative Analysis, Gifted
Schafer, William D.; Coverdale, Bradley J.; Luxenberg, Harlan; Jin, Ying – Practical Assessment, Research & Evaluation, 2011
There are relatively few examples of quantitative approaches to quality control in educational assessment and accountability contexts. Among the several techniques that are used in other fields, Shewart charts have been found in a few instances to be applicable in educational settings. This paper describes Shewart charts and gives examples of how…
Descriptors: Charts, Quality Control, Educational Assessment, Statistical Analysis
Boyd, Donald; Lankford, Hamilton; Loeb, Susanna; Wyckoff, James – Journal of Educational and Behavioral Statistics, 2013
Test-based accountability as well as value-added asessments and much experimental and quasi-experimental research in education rely on achievement tests to measure student skills and knowledge. Yet, we know little regarding fundamental properties of these tests, an important example being the extent of measurement error and its implications for…
Descriptors: Accountability, Educational Research, Educational Testing, Error of Measurement
Leite, Walter L.; Sandbach, Robert; Jin, Rong; MacInnes, Jann W.; Jackman, M. Grace-Anne – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Because random assignment is not possible in observational studies, estimates of treatment effects might be biased due to selection on observable and unobservable variables. To strengthen causal inference in longitudinal observational studies of multiple treatments, we present 4 latent growth models for propensity score matched groups, and…
Descriptors: Structural Equation Models, Probability, Computation, Observation