| Title | Date | Views | Brief Description |
|---|
| Effects of ignored subpopulations' growth trajectories on estimates of school value-added scores |
2018 |
595 |
School value-added scores classify schools into performance categories that are linked to rewards and sanctions. Because value-added scores claim to measure the schools' effectiveness on student growth, inferences of the quality of services provided ... |
| Implementation of a diagnostic classification model for middle-school physics |
2022 |
108 |
This dissertation provides a start-to-finish description of development, administration, and validation for an online middle-school physics test using a DCM framework with response-time. The first paper illustrated the process of implementing DCM wit... |
| Nonparametric diagnostic classification analysis for testlet based tests |
2016 |
1533 |
Diagnostic classification Diagnostic Classification Models (DCMs) are multidimensional confirmatory latent class models that can classify individuals into different classes based on their attribute mastery profiles. While DCMs represent the more prev... |
| Comparison of general diagnostic classification model for multiple-choice and dichotomous diagnostic classification model |
2018 |
499 |
A submodel of the general diagnostic classification models for multiple choice (GDCM-MC), the excluding guessing from the correct answer (EGCA) model, was first introduced because the submodel with kernel extended reparameterized unified model (ERUM)... |
| The development of a convergence diagnostic for Markov Chain Monte Carlo estimation |
2011 |
1636 |
The development and investigation of a convergence diagnostic for Markov Chain Monte Carlo (MCMC) posterior distributions is presented in this paper. The current method is an adaptation of an existing convergence diagnostic based on the Cumulative Su... |
| Comparing three multilevel frameworks for the detection of differential item functioning |
2019 |
557 |
Multilevel data complicates the accumulation of validation evidence. Using a unilevel approach to differential item functioning in the presence of multilevel data is both a theoretically and statistically unsound method. This simulation study compare... |
| A comparison of parameter estimation algorithms for estimating a polytomous log-linear cognitive diagnosis model for polytomous attributes |
2019 |
904 |
Parameter estimation techniques such as an expectation-maximization (EM) algorithm have been used ubiquitously to estimate cognitive diagnosis models (CDM). The primary goal of this study was to utilize polytomous attributes in the polytomous log-lin... |