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Ju, Unhee; Falk, Carl F. – Journal of Educational Measurement, 2019
We examined the feasibility and results of a multilevel multidimensional nominal response model (ML-MNRM) for measuring both substantive constructs and extreme response style (ERS) across countries. The ML-MNRM considers within-country clustering while allowing overall item slopes to vary across items and examination of whether certain items were…
Descriptors: Cross Cultural Studies, Self Efficacy, Item Response Theory, Item Analysis
Shin, Hyo Jeong; Wilson, Mark; Choi, In-Hee – Journal of Educational Measurement, 2017
This study proposes a structured constructs model (SCM) to examine measurement in the context of a multidimensional learning progression (LP). The LP is assumed to have features that go beyond a typical multidimentional IRT model, in that there are hypothesized to be certain cross-dimensional linkages that correspond to requirements between the…
Descriptors: Middle School Students, Student Evaluation, Measurement Techniques, Learning Processes
Cui, Ying; Gierl, Mark J.; Chang, Hua-Hua – Journal of Educational Measurement, 2012
This article introduces procedures for the computation and asymptotic statistical inference for classification consistency and accuracy indices specifically designed for cognitive diagnostic assessments. The new classification indices can be used as important indicators of the reliability and validity of classification results produced by…
Descriptors: Classification, Accuracy, Cognitive Tests, Diagnostic Tests
DeCarlo, Lawrence T. – Journal of Educational Measurement, 2005
An approach to essay grading based on signal detection theory (SDT) is presented. SDT offers a basis for understanding rater behavior with respect to the scoring of construct responses, in that it provides a theory of psychological processes underlying the raters' behavior. The approach also provides measures of the precision of the raters and the…
Descriptors: Validity, Simulation, Grading, Item Response Theory

Williamson, David M.; Bejar, Isaac I.; Hone, Anne S. – Journal of Educational Measurement, 1999
Contrasts "mental models" used by automated scoring for the simulation division of the computerized Architect Registration Examination with those used by experienced human graders for 3,613 candidate solutions. Discusses differences in the models used and the potential of automated scoring to enhance the validity evidence of scores. (SLD)
Descriptors: Architects, Comparative Analysis, Computer Assisted Testing, Judges