Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 18 of 18 for “"Q-matrix"”.
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Q-matrix optimization for cognitive diagnostic assessment
… of a cognitive diagnostic assessment is the Q-matrix, the structure that specifies item-attribute relationships. However, the Q-matrix is prone to misspecification, given that it is often constructed based solely on human opinions. This thesis uses three research studies to investigate key …
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Nonlinear penalized estimation of true Q-matrix in cognitive diagnostic models
… models (CDMs) is the correct identification of Q-matrix which indicates the relationship between attributes and test items. Previous CDMs typically assumed a known Q-matrix provided by domain experts such as those who developed the questions. However, misspecifications of Q-matrix had been …
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The role of covariates on inferring the Q-matrix and learning trajectory
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2023-12-01
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Sampling for network motif detection and estimation of Q-matrix and learning trajectories in DINA model
… diagnosis. We investigate the estimation of Q-matrix in DINA model. Q matrix is a binary matrix which maps the test item to its corresponding required attributes. We propose a Bayesian framework for estimating the DINA Q matrix. The proposed algorithms ensure that the estimated Q matrices …
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Statistical Inference for Diagnostic Classification Models
… Central to many DCMs is the so-called Q-matrix, an incidence matrix specifying the item-attribute relationship. It is common practice for the Q-matrix to be specified by experts when items are written, rather than through data-driven calibration. Such a non-empirical approach may lead to …
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The application of a cognitive diagnostic model on the test of practical Chinese
… on the construction and modification of the Q-matrix which specifies the relationship between test items and attributes needed to answer each item correctly. There are three stages in this study: (1) identifying reading attributes, (2) constructing the initial Q-matrix, and (3) modifying the …
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Examining Uncertainty and Misspecification of Attributes in Cognitive Diagnostic Models
… uncertainty about the specification of the Q-matrix that is required for CDMs, given that it is based on expert judgment. The current study uses a Bayesian approach to examine recovery of Q-matrix elements in the presence of uncertainty about some elements. The first simulation examined the …
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Comparison of the Item Response Theory with Covariates Model and Explanatory Cognitive Diagnostic Model for Detecting and Explaining Differential Item Functioning
… included sample size, DIF magnitude, DIF type, Q-matrix complexity, their interaction effects, and p-value adjustment. Evaluating DIF under the C-RUM, the DIF detection method had the largest effect on Type I error rates, with the Wald test recovering the nominal p-value much better than the LR …
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Bayesian estimation of restricted latent class models: Extending priors, link functions, and structural models
… expert-attribute mapping known as a Q matrix. Recent research directions have led to the creation of exploratory methodology that is able to infer the Q matrix without expert intervention. Within this thesis, we seek to extend and improve upon existing exploratory techniques and …
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Diagnosis of underlying physical fitness trait of adults’ selfreported physical function
… function and physical fitness to develop a Q-matrix to be used in the diagnostic model development. Three diagnostic models were employed with the developed Q-matrix to an existing dataset (Patient-Reported Outcomes Measurement Information System [PROMIS], N = 942, 51.17% women). The most …
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Hurdles and solutions for cognitive diagnosis
… to these problems: the estimation of the Q-Matrix, the estimation of model parameters, and the assessment of model-fit.
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Ordered Category Attribute Coding Framework for Cognitive Assessments
… Consequently, the entries of the categorical Q matrix represent skills' mastery levels required by test items and examinees' knowledge patterns represent their location on the learning path of each skill. The flexibility of the OCAC framework allows for a more informative, parsimonious and …
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The Sequential Givens method for adjustment computations in photogrammetry
… the immediate availability of the orthogonal Q matrix, which is computed as the data are processed and is intimately related to the statistics needed for blunder detection. One of these statistics, the F statistic computed from externally studentized residuals, is both easily obtained and …
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Rethinking the Force Concept Inventory: Developing a Cognitive Diagnostic Assessment to Measure Misconceptions in Newton's Laws
… instructors assessed content validity and Q-matrix alignment. A pilot test with 100 undergraduates was conducted to assess item quality within a classical test theory framework. The final version of the assessment was field tested with 349 undergraduates. Results showed that response data …
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Diagnostic Modeling of Intra-Organizational Mechanisms for Supporting Policy Implementation
… than the competing finer-grained models. The Q-matrix accounted for the complex loadings of items to the four theoretically and empirically driven mechanisms of implementation support including characteristics of the policy, teachers, leadership, and the organization. The mechanisms were …
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Cognitive Diagnostic Model, a Simulated-Based Study: Understanding Compensatory Reparameterized Unified Model (CRUM)
… in detecting misfit for over- and opposite-Q-Matrix misspecifications. The relative fit indices under investigation were Akaike information criterion (AIC), Bayesian information criterion (BIC), and sample size adjusted Bayesian information criterion (ssaBIC). The results suggested that the …
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Bridging the gap between research and practice: construction and validation of a CDA-informed English reading test for China's twelfth graders
… requirement for creating test tasks, and the Q matrix was for guiding the writing of each specific item. Thirty multiple-choice items were initially created and refined iteratively through pilot tests. Then, at the third and fourth stage, the test response data were analyzed, and both …
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Implementing a cognitive diagnostic assessment in an institutional test: a new networking model in language testing and experiment with a new psychometric model and task type
… insights and implications for the process of Q-matrix construction, grain size of attributes, appropriate task types and item types for cognitive diagnostic assessment as well as appropriate cognitive psychometric models for differing contexts of CDA implementation. The study also rediscovers or …