SOFA 2.0: Balancing Advanced Features in a Hierarchical Component Model

2006 ◽  
Author(s):  
T. Bures ◽  
P. Hnetynka ◽  
F. Plasil
Keyword(s):  
Component Model ◽  
Hierarchical Component Model

scholarly journals An Empirical Study on Career Choices Among Undergraduates: A PLS-SEM Hierarchical Component Model (HCM) Approach

2019 ◽  
Vol 9 (2) ◽  
pp. 276
Author(s):  
Siew Chin Wong ◽  
Jia Ying Lim ◽  
Chui Seong Lim ◽  
Kay Tze Hong
Keyword(s):  
Peer Influence ◽  
Career Choices ◽  
Measurement Model ◽  
Partial Least Square ◽  
Least Square ◽  
Component Model ◽  
Peer Influences ◽  
Future Research ◽  
Measurement Models ◽  
Hierarchical Component Model

This study examines how undergraduates’ personality, parental and peer influences on their career choice. Partial Least Square, hierarchical component model (HCM) was used to measure the formative measurement model of personality construct and reflective measurement models of parent and peer influence constructs on career choices in the study. Data were collected from 218 of undergraduates from local private and public universities. Findings show that there are significant positive relationship between personality, parental and peer influences and career choices. Such insights are useful for HRD practitioners to develop relevant HRD interventions to assist individuals and organizations in career development. Limitations and suggestions for future research are also discussed.

scholarly journals The Cognitive Model of Negative Symptoms in Schizophrenia: A Hierarchical Component Model With PLS-SEM

2021 ◽  
Vol 12 ◽  
Author(s):  
Ali Ebrahimi ◽  
Hamid Poursharifi ◽  
Behrooz Dolatshahi ◽  
Omid Rezaee ◽  
Hamid Reza Hassanabadi ◽  
...  
Keyword(s):  
Strong Correlation ◽  
Negative Symptoms ◽  
Cognitive Model ◽  
Chronic Schizophrenia ◽  
Component Model ◽  
Vicious Cycle ◽  
Neurocognitive Deficits ◽  
Dysfunctional Beliefs ◽  
Hierarchical Component Model ◽  
The Relationship

The cognitive model of negative symptoms suggests that some dysfunctional beliefs mediate the relationship between neurocognitive deficits and negative symptoms and disability. This study tested the hypothesis that dysfunctional performance beliefs mediate neurocognitive deficits, negative symptoms, and disability. We used a hierarchal component model with 85 men patients diagnosed with chronic schizophrenia. Results showed a moderate to strong correlation between dysfunctional performance beliefs, neurocognitive deficits, negative symptoms, and disability. These results support the Hierarchal component model (HCM) of the cognitive model of negative symptoms. Our results indicated that the disability in schizophrenia is mediated through dysfunctional performance beliefs, neurocognitive deficits, and negative symptoms pathway. Further, dysfunctional performance beliefs have a crucial role in this pathway. Therefore, targeting this vicious cycle of dysfunctional beliefs can improve disability in patients with schizophrenia.

scholarly journals Modularity for Large Virtual Reality Applications

2010 ◽  
Vol 19 (2) ◽  
pp. 142-161 ◽  
Author(s):  
Jérémie Allard ◽  
Jean-Denis Lesage ◽  
Bruno Raffin
Keyword(s):  
Virtual Reality ◽  
Software Engineering ◽  
High Performance ◽  
Flow Model ◽  
Parallel Architecture ◽  
Component Model ◽  
Grid Infrastructure ◽  
Hierarchical Component Model ◽  
And Performance ◽  
Data Flow Model

This paper focuses on the design of high performance VR applications. These applications usually involve various I/O devices and complex simulations. A parallel architecture or grid infrastructure is required to provide the necessary I/O and processing capabilities. Developing such applications faces several difficulties, two important ones being software engineering and performance issues. We argue that application modularity is a key concept to help the developer handle the complexity of these applications. We discuss how various approaches borrowed from other existing works can be combined to significantly improve the modularity of VR applications. This led to the development of the FlowVR middleware that associates a data-flow model with a hierarchical component model. Different case studies are presented to discuss the benefits of the approach proposed.

scholarly journals A Reflective–Formative Hierarchical Component Model of Perceived Authenticity

2020 ◽  
Vol 44 (8) ◽  
pp. 1211-1234
Author(s):  
Thi Hong Hai Nguyen
Keyword(s):  
Lower Order ◽  
Predictive Power ◽  
Heritage Tourism ◽  
Component Model ◽  
Multiple Forms ◽  
Tourism Research ◽  
Tourist Satisfaction ◽  
Hierarchical Component Model ◽  
Order Components ◽  
Reliable Scale

Discussions on authenticity have become prominent in tourism research, particularly in the context of heritage tourism and quantitative approaches have become popular methods to investigate authenticity, especially from a tourist’s perspective. Previous studies, however, have failed to include multiple forms of authenticity into a single quantitative scale, as well as to use a formative approach for its measures. This study develops a comprehensive and reliable scale of authenticity, considering its multidimensional complexity and its formative nature. A reflective–formative hierarchical component model of perceived authenticity toward heritage experience, including three lower order components of objective authenticity, existential authenticity, and constructive authenticity, is proposed. The scale of authenticity also indicates a strong predictive power over tourist satisfaction.

A hierarchical component model for large parallel interactive applications

2008 ◽  
Vol 60 (3) ◽  
pp. 389-409 ◽  
Author(s):  
Jean-Denis Lesage ◽  
Bruno Raffin
Keyword(s):  
Component Model ◽  
Interactive Applications ◽  
Hierarchical Component Model

Comparison of Principal Component Solutions in Two Populations

Methodology ◽  
2016 ◽  
Vol 12 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Gregor Sočan
Keyword(s):  
Simulation Study ◽  
Principal Components ◽  
Common Factor ◽  
Principal Component ◽  
Component Model ◽  
Bootstrap Procedure ◽  
Factor Loadings ◽  
Component Loadings ◽  
Principal Component Model ◽  
Two Populations

Abstract. When principal component solutions are compared across two groups, a question arises whether the extracted components have the same interpretation in both populations. The problem can be approached by testing null hypotheses stating that the congruence coefficients between pairs of vectors of component loadings are equal to 1. Chan, Leung, Chan, Ho, and Yung (1999) proposed a bootstrap procedure for testing the hypothesis of perfect congruence between vectors of common factor loadings. We demonstrate that the procedure by Chan et al. is both theoretically and empirically inadequate for the application on principal components. We propose a modification of their procedure, which constructs the resampling space according to the characteristics of the principal component model. The results of a simulation study show satisfactory empirical properties of the modified procedure.

Using Rest's Four Component Model to Predict Applicant Cheating

2011 ◽  
Author(s):  
Lynn R. Hartmann ◽  
Kristie Lynn Campana ◽  
Lance Andrews
Keyword(s):  
Component Model ◽  
Four Component Model

Commitment to work-group performance: Extension of the three-component model

2009 ◽  
Author(s):  
Timothy A. Jackson ◽  
John P. Meyer ◽  
Yaprak Kumsar
Keyword(s):  
Group Performance ◽  
Work Group ◽  
Component Model ◽  
Work Group Performance
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