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Addressing Current Methodological Challenges in ILSA's Transition to Adaptive Testing
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Montserrat Beatriz Valdivia Medinaceli – ProQuest LLC, 2023
My dissertation examines three current challenges of international large-scale assessments (ILSAs) associated with the transition from linear testing to an adaptive testing design. ILSAs are important for making comparisons among populations and informing countries about the quality of their educational systems. ILSA's results inform policymakers…
Descriptors: International Assessment, Achievement Tests, Adaptive Testing, Test Items
Cognitive Diagnosis for Multiple-Choice Responses: Nonparametric Classification Method, Q-Matrix Theory, and Computerized Adaptive Testing
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Yu Wang – ProQuest LLC, 2024
The multiple-choice (MC) item format has been widely used in educational assessments across diverse content domains. MC items purportedly allow for collecting richer diagnostic information. The effectiveness and economy of administering MC items may have further contributed to their popularity not just in educational assessment. The MC item format…
Descriptors: Multiple Choice Tests, Cognitive Tests, Cognitive Measurement, Educational Diagnosis
Measuring and Modeling Human Capital: Confirmatory IRT, Poor-Proxy Bias, and Latent Convection
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Stefan Lorenz – ProQuest LLC, 2024
This dissertation develops and applies sophisticated Item Response Theory (IRT) methods to address fundamental measurement challenges in cognitive testing, focusing on the Armed Services Vocational Aptitude Battery (ASVAB) data from the National Longitudinal Survey of Youth (NLSY). The first chapter implements a confirmatory multidimensional IRT…
Descriptors: Human Capital, Item Response Theory, Vocational Aptitude, Armed Forces
Precision-Based Item Selection for Exposure Control in Computerized Adaptive Testing
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Carroll, Ian A. – ProQuest LLC, 2017
Item exposure control is, relative to adaptive testing, a nascent concept that has emerged only in the last two to three decades on an academic basis as a practical issue in high-stakes computerized adaptive tests. This study aims to implement a new strategy in item exposure control by incorporating the standard error of the ability estimate into…
Descriptors: Test Items, Computer Assisted Testing, Selection, Adaptive Testing
A Fair Comparison of the Performance of Computerized Adaptive Testing and Multistage Adaptive Testing
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Wang, Keyin – ProQuest LLC, 2017
The comparison of item-level computerized adaptive testing (CAT) and multistage adaptive testing (MST) has been researched extensively (e.g., Kim & Plake, 1993; Luecht et al., 1996; Patsula, 1999; Jodoin, 2003; Hambleton & Xing, 2006; Keng, 2008; Zheng, 2012). Various CAT and MST designs have been investigated and compared under the same…
Descriptors: Comparative Analysis, Computer Assisted Testing, Adaptive Testing, Test Items
Variable-Length Computerized Adaptive Testing: Adaptation of the A-Stratified Strategy in Item Selection with Content Balancing
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Huo, Yan – ProQuest LLC, 2009
Variable-length computerized adaptive testing (CAT) can provide examinees with tailored test lengths. With the fixed standard error of measurement ("SEM") termination rule, variable-length CAT can achieve predetermined measurement precision by using relatively shorter tests compared to fixed-length CAT. To explore the application of…
Descriptors: Test Length, Test Items, Adaptive Testing, Item Analysis