A Generalized Diagnostic Classification Modeling Framework Integrating Differential Speediness: Advantages and Illustrations in Psychological and Educational Testing

Author(s):  
Siwei Peng ◽  
Yan Cai ◽  
Daxun Wang ◽  
Fen Luo ◽  
Dongbo Tu
2017 ◽  
Vol 38 (4) ◽  
pp. 203-210 ◽  
Author(s):  
Christopher M. Lootens ◽  
Christopher D. Robertson ◽  
John T. Mitchell ◽  
Nathan A. Kimbrel ◽  
Natalie E. Hundt ◽  
...  

Abstract. The goal of the present investigation was to expand the literature on impulsivity and Cluster B personality disorders (PDs) by conceptualizing impulsivity in a multidimensional manner. Two separate undergraduate samples (n = 223; n = 204) completed measures of impulsivity and Cluster B dimensions. Impulsivity was indeed predictive of Cluster B dimensions and, importantly, each PD scale exhibited a unique impulsivity profile. Findings for borderline PD scores were highly consistent across samples and strongly and positively associated with urgency and lack of perseverance, as expected. Findings for the other PD dimensions also exhibited a fair amount of consistency. Implications of these findings for diagnostic classification and treatment are discussed.


2007 ◽  
Author(s):  
Michael L. Drexler ◽  
Elsie Cheng ◽  
Flora Yuger ◽  
Theresa Rizzo

2008 ◽  
Vol 59 (7) ◽  
Author(s):  
Sanda Florentina Mihalache

A modelling approach that will facilitate an in-depth understanding of the interactions of the different phenomena, human interactions and environmental factors constituting �real world� industrial processes is presented. An important industrial system such as Gas Processing Unit (GPU) have inter-related internal process activities coexisting with external events and requires a real time inter-disciplinary approach to model them. This modeling framework is based on identifying as modules, the part of processes that have interactions and can be considered active participants in overall behaviour. The selected initial set of modules are structured as Petri net models and made to interact iteratively to provide process states of the system. The modeling goal is accomplished by identifying the evolution of the process states as a means of effective representation of the �actual running�� of the industrial process. The paper discusses the function and the implementation of the modelling method as applicable to the industrial case of GPU.


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