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Jihong Zhang – ProQuest LLC, 2022
Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model…
Descriptors: Bayesian Statistics, Cognitive Measurement, Models, Classification
Liceralde, Van Rynald T. – ProQuest LLC, 2021
When we read, errors in oculomotor programming can cause the eyes to land and fixate on different words from what the mind intended. Previous work suggests that these "mislocated fixations" form 10-30% of first-pass fixations in reading eye movement data, which presents theoretical and analytic issues for eyetracking-while-reading…
Descriptors: Eye Movements, Reading Processes, Error Patterns, Psychomotor Skills
Zhang, Zhewei – ProQuest LLC, 2016
Digital products are rapidly shaping our world into a ubiquitous computing world. Because of its unique characteristics, digital artifacts are generative and highly evolving through the recombination of existing elements as well as by the invention of new elements. In this thesis, I first propose an evolutionary view to examine how digital…
Descriptors: Classification, Computer Software, Web Sites, Design
Chong, Junxiang Adam – ProQuest LLC, 2017
This dissertation examines the question of how phonological alternations are learnt. In constraint-based models of phonological learning, it is hypothesized that prior learning of phonotactics from the lexicon facilitates the learning of alternations. While this is an influential assumption, the empirical evidence for it is equivocal. In this…
Descriptors: Grammar, Phonology, Morphemes, Korean
Feng, Yuling – ProQuest LLC, 2013
Diagnostic classification models (DCMs) are structured latent class models widely discussed in the field of psychometrics. They model subjects' underlying attribute patterns and classify subjects into unobservable groups based on their mastery of attributes required to answer the items correctly. The effective implementation of DCMs depends…
Descriptors: Classification, Models, Psychometrics, Computation
Sukin, Tia M. – ProQuest LLC, 2010
The presence of outlying anchor items is an issue faced by many testing agencies. The decision to retain or remove an item is a difficult one, especially when the content representation of the anchor set becomes questionable by item removal decisions. Additionally, the reason for the aberrancy is not always clear, and if the performance of the…
Descriptors: Simulation, Science Achievement, Sampling, Data Analysis
Church, Lewis – ProQuest LLC, 2010
This dissertation answers three research questions: (1) What are the characteristics of a combinatoric measure, based on the Average Search Length (ASL), that performs the same as a probabilistic version of the ASL?; (2) Does the combinatoric ASL measure produce the same performance result as the one that is obtained by ranking a collection of…
Descriptors: Equations (Mathematics), Information Retrieval, Models, Measurement Techniques
Kroopnick, Marc Howard – ProQuest LLC, 2010
When Item Response Theory (IRT) is operationally applied for large scale assessments, unidimensionality is typically assumed. This assumption requires that the test measures a single latent trait. Furthermore, when tests are vertically scaled using IRT, the assumption of unidimensionality would require that the battery of tests across grades…
Descriptors: Simulation, Scaling, Standard Setting, Item Response Theory
Deng, Nina – ProQuest LLC, 2011
Three decision consistency and accuracy (DC/DA) methods, the Livingston and Lewis (LL) method, LEE method, and the Hambleton and Han (HH) method, were evaluated. The purposes of the study were: (1) to evaluate the accuracy and robustness of these methods, especially when their assumptions were not well satisfied, (2) to investigate the "true"…
Descriptors: Item Response Theory, Test Theory, Computation, Classification
Wu, Qiong – ProQuest LLC, 2009
Despite the increasing popularity of latent class models (LCM) in educational research, methodological studies have not yet accumulated much information on the appropriate application of this modeling technique, especially with regard to requirement on sample size and number of indicators. This dissertation study represented an initial attempt to…
Descriptors: Statistical Analysis, Educational Research, Research Methodology, Sample Size
Hellar, David Benjamin – ProQuest LLC, 2009
The modern military command center is a hybrid system of computer automated surveillance and human oriented decision making. In these distributed cognition systems, data overload refers simultaneously to the glut of raw data processed by information technology systems and the dearth of actionable knowledge useful to human decision makers.…
Descriptors: Cooperative Learning, Information Technology, Classification, Engineering
Wu, Wenxia – ProQuest LLC, 2009
The purpose of this dissertation is to develop a better understanding of boundary issues in global virtual teams, especially in higher education settings. Although previous research in the past decade has studied various aspects of global virtual teams, there is no comprehensive review of boundary issues and their impact. This dissertation…
Descriptors: Foreign Countries, Higher Education, Engineering Education, Classification