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Showing 1 to 3 of 3 for “"Item response theory--Mathematical models"”.

  1. On the Use of Covariates in a Latent Class Signal Detection Model, with Applications to Constructed Response Scoring

    … introduced as an alternative to traditional item response theory (IRT) methods in the analysis of constructed response data. This class of models can be represented as restricted latent class models and differ from the IRT approach in the way the latent construct is conceptualized. One appeal …

    columbia-diss Repository record for On the Use of Covariates in a Latent Class Signal Detection Model, with Applications to Constructed Response Scoring (opens in a new tab)

  2. 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)

  3. 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)