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Student, Sanford R. – Educational Researcher, 2022
Empirical growth benchmarks, as introduced by Hill, Bloom, Black, and Lipsey (2008), are a well-known way to contextualize effect sizes in education research. Past work on these benchmarks, both positive and negative, has largely avoided confronting the role of vertical scales, yet technical issues with vertical scales trouble the use of such…
Descriptors: Computer Simulation, Benchmarking, Effect Size, Intervention
Yoo, Hanwook; Hambleton, Ronald K. – Educational Measurement: Issues and Practice, 2019
Item analysis is an integral part of operational test development and is typically conducted within two popular statistical frameworks: classical test theory (CTT) and item response theory (IRT). In this digital ITEMS module, Hanwook Yoo and Ronald K. Hambleton provide an accessible overview of operational item analysis approaches within these…
Descriptors: Item Analysis, Item Response Theory, Guidelines, Test Construction
Feinberg, Richard A.; Rubright, Jonathan D. – Educational Measurement: Issues and Practice, 2016
Simulation studies are fundamental to psychometric discourse and play a crucial role in operational and academic research. Yet, resources for psychometricians interested in conducting simulations are scarce. This Instructional Topics in Educational Measurement Series (ITEMS) module is meant to address this deficiency by providing a comprehensive…
Descriptors: Simulation, Psychometrics, Vocabulary, Research Design
Aybek, Eren Can; Demirtasli, R. Nukhet – International Journal of Research in Education and Science, 2017
This article aims to provide a theoretical framework for computerized adaptive tests (CAT) and item response theory models for polytomous items. Besides that, it aims to introduce the simulation and live CAT software to the related researchers. Computerized adaptive test algorithm, assumptions of item response theory models, nominal response…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Response Theory, Test Items
Choi, Seung W.; Podrabsky, Tracy; McKinney, Natalie – Applied Psychological Measurement, 2012
Computerized adaptive testing (CAT) enables efficient and flexible measurement of latent constructs. The majority of educational and cognitive measurement constructs are based on dichotomous item response theory (IRT) models. An integral part of developing various components of a CAT system is conducting simulations using both known and empirical…
Descriptors: Computer Assisted Testing, Adaptive Testing, Computer Software, Item Response Theory
Tracey, Terence J. G. – Journal of Career Assessment, 2010
The benefits of computer-assisted assessment via the Internet are well known in interest assessment as it relates information access. Individuals can use their assessment scores to easily access a wealth of career and major information. However, computer-assisted assessment also enables a unique assessment experience for each individual.…
Descriptors: Program Effectiveness, Computer Assisted Testing, Internet, Evaluation
Stroup, Walter M.; Hills, Thomas; Carmona, Guadalupe – Technology, Knowledge and Learning, 2011
This paper summarizes an approach to helping future educators to engage with key issues related to the application of measurement-related statistics to learning and teaching, especially in the contexts of science, mathematics, technology and engineering (STEM) education. The approach we outline has two major elements. First, students are asked to…
Descriptors: Core Curriculum, High Stakes Tests, Psychometrics, Educational Testing
Kadiam, Subhash Chandra Bose S. V.; Mohammed, Ahmed Ali; Nguyen, Duc T. – Journal of STEM Education: Innovations and Research, 2010
In this paper, we describe an approach to analyze 2D truss/Frame/Beam structures under Flash-based environment. Stiffness Matrix Method (SMM) module was developed as part of ongoing projects on a broad topic "Students' Learning Improvements in Science, Technology, Engineering and Mathematics (STEM) Related Areas" at Old Dominion…
Descriptors: Civil Engineering, Scores, Internet, Item Response Theory
Segawa, Eisuke – Journal of Educational and Behavioral Statistics, 2005
Multi-indicator growth models were formulated as special three-level hierarchical generalized linear models to analyze growth of a trait latent variable measured by ordinal items. Items are nested within a time-point, and time-points are nested within subject. These models are special because they include factor analytic structure. This model can…
Descriptors: Bayesian Statistics, Mathematical Models, Factor Analysis, Computer Simulation