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Showing 1 to 2 of 2 for “"Educational tests and measurements--Mathematical models"”.

  1. Nonlinear penalized estimation of true Q-matrix in cognitive diagnostic models

    A key issue of cognitive diagnostic 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, …

    columbia-diss Repository record for Nonlinear penalized estimation of true Q-matrix in cognitive diagnostic models (opens in a new tab)

  2. Penalized Joint Maximum Likelihood Estimation Applied to Two Parameter Logistic Item Response Models

    Item response theory (IRT) models are a conventional tool for analyzing both small scale and large scale educational data sets, and they are also used for the development of high-stakes tests such as the Scholastic Aptitude Test (SAT) and the Graduate Record Exam (GRE). When estimating these models …

    columbia-diss Repository record for Penalized Joint Maximum Likelihood Estimation Applied to Two Parameter Logistic Item Response Models (opens in a new tab)