A Recursive Algorithm for IRT Weighted Observed Score Equating

2013 ◽  
pp. 371-383
Author(s):  
Yuehmei Chien ◽  
Ching David Shin
Keyword(s):  
Recursive Algorithm ◽  
Observed Score

scholarly journals Lord–Wingersky Algorithm Version 2.5 with Applications

Psychometrika ◽  
2021 ◽  
Author(s):  
Sijia Huang ◽  
Li Cai
Keyword(s):  
Item Response ◽  
Empirical Data ◽  
Latent Variables ◽  
Recursive Algorithm ◽  
Factor Models ◽  
Model Fit ◽  
Psychological Measurement ◽  
Achievement Growth ◽  
Version 2.0 ◽  
Observed Score

AbstractItem response theory scoring based on summed scores is employed frequently in the practice of educational and psychological measurement. Lord and Wingersky (Appl Psychol Meas 8(4):453–461, 1984) proposed a recursive algorithm to compute the summed score likelihood. Cai (Psychometrika 80(2):535–559, 2015) extended the original Lord–Wingersky algorithm to the case of two-tier multidimensional item factor models and called it Lord–Wingersky algorithm Version 2.0. The 2.0 algorithm utilizes dimension reduction to efficiently compute summed score likelihoods associated with the general dimensions in the model. The output of the algorithm is useful for various purposes, for example, scoring, scale alignment, and model fit checking. In the research reported here, a further extension to the Lord–Wingersky algorithm 2.0 is proposed. The new algorithm, which we call Lord–Wingersky algorithm Version 2.5, yields the summed score likelihoods for all latent variables in the model conditional on observed score combinations. The proposed algorithm is illustrated with empirical data for three potential application areas: (a) describing achievement growth using score combinations across adjacent grades, (b) identification of noteworthy subscores for reporting, and (c) detection of aberrant responses.

License Plate Localization Using Novel Recursive Algorithm And Pixel Count Method

2013 ◽  
Vol 2 (2) ◽  
pp. 6-16 ◽  
Author(s):  
Siddharth Choubey ◽  
◽  
G.R. Sinha ◽  
Keyword(s):  
Recursive Algorithm ◽  
License Plate ◽  
Count Method

Tolerance Intervals for True Scores

1985 ◽  
Vol 10 (1) ◽  
pp. 1-17 ◽  
Author(s):  
David Jarjoura
Keyword(s):  
Confidence Intervals ◽  
Practical Implication ◽  
Educational Measurement ◽  
True Score ◽  
Tolerance Intervals ◽  
Observed Score ◽  
True Scores

Issues regarding tolerance and confidence intervals are discussed within the context of educational measurement and conceptual distinctions are drawn between these two types of intervals. Points are raised about the advantages of tolerance intervals when the focus is on a particular observed score rather than a particular examinee. Because tolerance intervals depend on strong true score models, a practical implication of the study is that true score tolerance intervals are fairly insensitive to differences in assumptions among the five models studied.

LMI-based hybrid temporal-spatial differential control design for a class of Euler-Bernoulli beam system

2021 ◽  
pp. 095440622110036
Author(s):  
Jiaqi Zhong ◽  
Xiaolei Chen ◽  
Yupeng Yuan ◽  
Jiajia Tan
Keyword(s):  
Vibration Suppression ◽  
Direct Method ◽  
Recursive Algorithm ◽  
Linear Matrix ◽  
Bernoulli Beam ◽  
Hybrid Controller ◽  
Beam System ◽  
Active Vibration ◽  
Differential Control ◽  
Euler Bernoulli Beam

This paper addresses the problem of active vibration suppression for a class of Euler-Bernoulli beam system. The objective of this paper is to design a hybrid temporal-spatial differential controller, which is involved with the in-domain and boundary actuators, such that the closed-loop system is stable. The Lyapunov’s direct method is employed to derive the sufficient condition, which not only can guarantee the stabilization of system, but also can improve the spatial cooperation of actuators. In the framework of the linear matrix inequalities (LMIs) technology, the gain matrices of hybrid controller can obtained by developing a recursive algorithm. Finally, the effectiveness of the proposed methodology is demonstrated by applying a numerical simulation.

A Recursive Algorithm to Verify Quasi-Uniform Entropy Vectors and Its Applications

2020 ◽  
pp. 1-1
Author(s):  
Dauood Saleem ◽  
Satyajit Thakor ◽  
Anil Tiwari
Keyword(s):  
Recursive Algorithm
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