Development of an unfolding model of procedures for programming learning of novice programmers

2021 ◽  
Author(s):  
Youngmin Kim ◽  
Minjeong Lee
Keyword(s):  
Unfolding Model

Nonparametric Unidimensional Unfolding for Multicategory Data

1992 ◽  
Vol 4 ◽  
pp. 41-74 ◽  
Author(s):  
Wijbrandt H. van Schuur
Keyword(s):  
Republican Party ◽  
Rating Data ◽  
Presidential Candidates ◽  
Unfolding Model ◽  
Scaling Model ◽  
Dichotomous Data ◽  
Party Activists ◽  
Preference Ratings

This article describes a nonparametric unidimensional unfolding model for dichotomous data (van Schuur 1984) and shows how it can be extended to multicategory data such as Likert-type rating data. This extension is analogous to Molenaar's (1982) application of Mokken's (1970) nonparametric unidimensional cumulative scaling model. The model is illustrated with an analysis of five-point preference ratings given in 1980 to five political presidential candidates by Democratic and Republican party activists in Missouri.

The Explanatory Generalized Graded Unfolding Model: Incorporating Collateral Information to Improve the Latent Trait Estimation Accuracy

2021 ◽  
pp. 014662162110517
Author(s):  
Seang-Hwane Joo ◽  
Philseok Lee ◽  
Stephen Stark
Keyword(s):  
Large Scale ◽  
Latent Trait ◽  
Theory Model ◽  
Estimation Accuracy ◽  
Cognitive Assessments ◽  
Collateral Information ◽  
Unfolding Model ◽  
Generalized Graded Unfolding Model ◽  
Scoring Accuracy ◽  
Trait Estimation

Collateral information has been used to address subpopulation heterogeneity and increase estimation accuracy in some large-scale cognitive assessments. The methodology that takes collateral information into account has not been developed and explored in published research with models designed specifically for noncognitive measurement. Because the accurate noncognitive measurement is becoming increasingly important, we sought to examine the benefits of using collateral information in latent trait estimation with an item response theory model that has proven valuable for noncognitive testing, namely, the generalized graded unfolding model (GGUM). Our presentation introduces an extension of the GGUM that incorporates collateral information, henceforth called Explanatory GGUM. We then present a simulation study that examined Explanatory GGUM latent trait estimation as a function of sample size, test length, number of background covariates, and correlation between the covariates and the latent trait. Results indicated the Explanatory GGUM approach provides scoring accuracy and precision superior to traditional expected a posteriori (EAP) and full Bayesian (FB) methods. Implications and recommendations are discussed.

Computerized Classification Testing Under the Generalized Graded Unfolding Model

2011 ◽  
Vol 71 (1) ◽  
pp. 114-128 ◽  
Author(s):  
Wen-Chung Wang ◽  
Chen-Wei Liu
Keyword(s):  
Unfolding Model ◽  
Generalized Graded Unfolding Model

A Beta Unfolding Model for Continuous Bounded Responses

Psychometrika ◽  
2013 ◽  
Vol 79 (4) ◽  
pp. 647-674 ◽  
Author(s):  
Yvonnick Noel
Keyword(s):  
Unfolding Model

Testing and extending the unfolding model of voluntary turnover to it professionals

2007 ◽  
Vol 46 (3) ◽  
pp. 331-347 ◽  
Author(s):  
Fred Niederman ◽  
Mary Sumner ◽  
Carl P. Maertz JR.
Keyword(s):  
Voluntary Turnover ◽  
It Professionals ◽  
Unfolding Model

scholarly journals Mapping the Decision to Quit: A Refinement and Test of the Unfolding Model of Voluntary Turnover

2008 ◽  
Vol 57 (1) ◽  
pp. 128-150 ◽  
Author(s):  
Kevin Morrell ◽  
John Loan-Clarke ◽  
John Arnold ◽  
Adrian Wilkinson
Keyword(s):  
Voluntary Turnover ◽  
Unfolding Model

A geometrical analysis of the unfolding model: General solutions

Psychometrika ◽  
1973 ◽  
Vol 38 (3) ◽  
pp. 305-336 ◽  
Author(s):  
John Davidson
Keyword(s):  
Geometrical Analysis ◽  
General Solutions ◽  
Unfolding Model

Testing the unfolding model of voluntary turnover on construction professionals

2010 ◽  
Vol 28 (3) ◽  
pp. 271-285 ◽  
Author(s):  
Stephen Mark Jones ◽  
Andrew Ross ◽  
Begum Sertyesilisik
Keyword(s):  
Voluntary Turnover ◽  
Unfolding Model
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