Digital Module 19: Foundations of IRT Estimation

2020 ◽  
Vol 39 (4) ◽  
pp. 133-134
Author(s):  
Zhuoran Wang ◽  
Nathan Thompson
Keyword(s):  
Digital Module ◽  
Irt Estimation

Digital Module 27: Hierarchical Rater Models

2021 ◽  
Vol 40 (4) ◽  
pp. 103-104
Author(s):  
Jodi M. Casabianca
Keyword(s):  
Digital Module

scholarly journals IRTBEMM: An R Package for Estimating IRT Models With Guessing or Slipping Parameters

2020 ◽  
Vol 44 (7-8) ◽  
pp. 566-567
Author(s):  
Shaoyang Guo ◽  
Chanjin Zheng ◽  
Justin L. Kern
Keyword(s):  
Maximum Likelihood ◽  
Item Response Theory ◽  
Item Response ◽  
R Package ◽  
Response Theory ◽  
Estimation Algorithms ◽  
Irt Models ◽  
Irt Estimation

A recently released R package IRTBEMM is presented in this article. This package puts together several new estimation algorithms (Bayesian EMM, Bayesian E3M, and their maximum likelihood versions) for the Item Response Theory (IRT) models with guessing and slipping parameters (e.g., 3PL, 4PL, 1PL-G, and 1PL-AG models). IRTBEMM should be of interest to the researchers in IRT estimation and applying IRT models with the guessing and slipping effects to real datasets.

SYNTHESIS OF PROPERTY MONITORS FOR ONLINE FAULT DETECTION

2007 ◽  
Vol 16 (06) ◽  
pp. 943-960 ◽  
Author(s):  
K. MORIN-ALLORY ◽  
E. GASCARD ◽  
D. BORRIONE
Keyword(s):  
Fault Detection ◽  
Embedded Systems ◽  
Building Blocks ◽  
Original Method ◽  
Digital System ◽  
Temporal Properties ◽  
Digital Components ◽  
Digital Module

An original method for generating components that capture the occurrence of events is proposed, and logical and temporal properties of hardware/software embedded systems are monitored. The properties are written in PSL, under the form of assertions in declarative form. The method includes the construction of a library of primitive digital components for the PSL temporal and sequence operators. These building blocks are interconnected to construct complex properties, resulting in a synthesizable digital module that can be properly linked to the digital system under scrutiny.

Digital Module 18: Automated Scoring https://ncme.elevate.commpartners.com

2020 ◽  
Vol 39 (3) ◽  
pp. 141-142
Author(s):  
Sue Lottridge ◽  
Amy Burkhardt ◽  
Michelle Boyer
Keyword(s):  
Automated Scoring ◽  
Digital Module
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