On the General Degradation Path Model: Review and Simulation

2009 ◽  
pp. 147-155 ◽  
Author(s):  
Firoozeh Haghighi ◽  
Nazanin Nooraee ◽  
Narges Nazeri Rad
Keyword(s):  
Path Model ◽  
Model Review

Bidirectional Associations Between Self-Perceptions of Aging and Processing Speed Across 3 Years

GeroPsych ◽  
2017 ◽  
Vol 30 (2) ◽  
pp. 49-59 ◽  
Author(s):  
Anna L. Seidler ◽  
Julia K. Wolff
Keyword(s):  
Processing Speed ◽  
Personal Growth ◽  
Significant Loss ◽  
Path Model ◽  
Outcome Variable ◽  
Beneficial Effects ◽  
Self Perceptions ◽  
Chi Squared ◽  
Perceptions Of Aging ◽  
Bidirectional Associations

Abstract. Background: Previous studies point to a potential relationship between self-perceptions of aging (SPA) and cognitive performance. However, most of these studies are limited by their experimental design. Previous longitudinal studies looked solely at memory as an outcome variable without examining the directionality of effects. The present study examines the direction of effects between two domains of SPA (personal growth and physical losses) and processing speed (PS). Methods: The sample consists of 8,198 participants of the German Ageing Survey (DEAS), aged between 40 and 93 years. A cross-lagged path model was estimated to examine directions of relationships across 3 years via chi-squared difference tests for each domain of SPA. Results: In the unconstrained models, the effect of SPA domain personal growth in 2008 on PS in 2011 and vice versa were marginally significant. For SPA domain physical losses, the effect of SPA on PS was significant, whereas the other direction of the effect did not reach significance. However, the cross-lagged paths of both domains of SPA on PS and vice versa could be set equal without a significant loss of model fit. The resulting associations indicate a significant bidirectional relationship between both domains of SPA and PS. Discussion and conclusion: This study provides initial evidence that SPA can influence trajectories of cognitive decline and vice versa. The results emphasize the detrimental and beneficial effects that stereotypes can have on individuals and add further evidence to the theory of stereotype embodiment.

Passive Facebook Use and Depression

2020 ◽  
Vol 32 (4) ◽  
pp. 165-175 ◽  
Author(s):  
Leman Pınar Tosun ◽  
Ezgi Kaşdarma
Keyword(s):  
Social Comparisons ◽  
Path Model ◽  
The Other ◽  
Facebook Use ◽  
Psychological Mechanism ◽  
Model Fits

Abstract. In the current study we examined a psychological mechanism linking Facebook use to depression. A survey was conducted with 319 undergraduates about their passive Facebook use, their frequency of making upward social comparisons on Facebook, the emotions evoked through these comparisons, and their levels of depression. Half of the participants were given questions about the Facebook comparisons they made with their close friends, while the other half were given questions about the Facebook comparisons they made with acquaintances. Analysis of the whole sample revealed that upward Facebook comparison elicited assimilative emotions (inspiration, optimism, and admiration) more than contrastive emotions did (envy and resentment). A path model was developed in which passive use of Facebook predicted the frequency of making upward social comparisons, and, in turn, the frequency of making upward Facebook comparisons predicted depression through two routes: one through contrastive emotions and other through assimilative emotions. The results suggested that the model fits the data. As expected, the frequency of upward Facebook comparisons was associated with the increases in frequency of both contrastive and assimilative emotions, and the associations of these two types of emotions with depression were in opposite directions: Depression increased as the frequency of contrastive emotions increased, and it decreased as the frequency of assimilative emotions increased. The strength of the latter aforementioned association was stronger when the comparison targets were acquaintances rather than close friends.

The effects of cross training teams: A meta-analytic path model

2009 ◽  
Author(s):  
Kevin C. Stagl ◽  
Cameron Klein ◽  
Patrick J. Rosopa ◽  
Deborah DiazGranados ◽  
Eduardo Salas ◽  
...  
Keyword(s):  
Path Model ◽  
Cross Training

Interconnect Limits on Gigascale Integration (GSI)

1997 ◽  
Vol 473 ◽  
Author(s):  
J. A. Davis ◽  
J. D. Meindl
Keyword(s):  
Response Time ◽  
Length Distribution ◽  
Path Model ◽  
System Level ◽  
Wire Length ◽  
Clock Frequency ◽  
Gigascale Integration ◽  
Logic Network ◽  
Binary Switching ◽  
Quantitative Definition

ABSTRACTOpportunities for Gigascale Integration (GSI) are governed by a hierarchy of physical limits. The levels of this hierarchy have been codified as: 1) fundamental, 2) material, 3) device, 4) circuit and 5) system. Many key limits at all levels of the hierarchy can be displayed in the power, P, versus delay, td, plane and the reciprocal length squared, L-2, versus response time, τ, plane. Power, P, is the average power transfer during a binary switching transition and delay, td, is the time required for the transition. Length, L, is the distance traversed by an interconnect that joins two nodes on a chip and response time, τ, characterizes the corresponding interconnect circuit. At the system level of the hierarchy, quantitative definition of both the P versus td and the L-2 versus τ displays requires an estimate of the complete stochastic wiring distribution of a chip.Based on Rent's Rule, a well known empirical relationship between the number of signal input/output terminals on a block of logic and the number of gate circuits with the block, a rigorous derivation of a new complete stochastic wire length distribution for an on-chip random logic network is described. This distribution is compared to actual data for modern microprocessors and to previously described distributions. A methodology for estimating the complete wire length distribution for future GSI products is proposed. The new distribution is then used to enhance the critical path model that determines the maximum clock frequency of a chip; to derive a preliminary power dissipation model for a random logic network; and, to define an optimal architecture of a multilevel interconnect network that minimizes overall chip size. In essence, a new complete stochastic wiring distribution provides a generic basis for maximizing the value obtained from a multilevel interconnect technology.

FRAUD CONFIRMATION, CLIENT SATISFACTION AND CLIENT LOYALTY

2019 ◽  
Vol 1 (1) ◽  
pp. 39
Author(s):  
Ngurah Pandji Mertha Agung Durya
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Client Satisfaction ◽  
Audit Quality ◽  
Hypothesis Test ◽  
Linear Regression Analysis ◽  
Quality Attributes ◽  
Path Model ◽  
Coefficient Of Determination ◽  
The Government

<p>This study aims to find evidence, the influence of Audit Quality Attributes, Client Satisfaction and Client Loyalty, which are moderated by Fraud Confirmation. The research was conducted at the BKM, a community-based organization, formed by the Government, through the <em>Kotaku</em> Program. The research used Regression statistical analysis and conducted a hypothesis test. Regression analysis used includes Simple Linear Regression Analysis, Multiple Regression Analysis, and MRA Regression Analysis, and Path Model Linear Regression Analysis. This study also pays attention to the calculation of the coefficient of determination to give an idea of the ability of the model in explaining the phenomenon of Client Satisfaction and Client Loyalty. The result that both partially and simultaneously, Audit Quality Attributes, Fraud Confirmation affected Client Satisfaction and Loyalty. The research also succeeded in proving that Client Satisfaction mediates the effect of Audit Quality Attributes on Client Loyalty, but failed to provide empirical evidence, that the Fraud Confirmation moderated the effect of Audit Quality Attributes on Client Satisfaction and Loyalty. Contribution to audit practices, where it is important to realize Client Satisfaction through Audit Quality Attributes and Fraud Confirmation, especially in situations where Fraud acts are suspected.</p>

Effect of Job-Insecurity, Organizational Commitment, Job Satisfaction on Turnover Intention: A Case Study of Newcomer Lecturers at Private Islamic Universities in East Java Province, Indonesia

2018 ◽  
Vol 6 (2) ◽  
pp. 199
Author(s):  
Asep Saifuddin Chalim
Keyword(s):  
Job Satisfaction ◽  
Organizational Commitment ◽  
Turnover Intention ◽  
Structural Equation ◽  
Job Insecurity ◽  
Partial Least Square ◽  
Least Square ◽  
Path Model ◽  
Equation Modeling ◽  
Pls Analysis

This study discussed employee turnover as one of the crucial problems faced by every organization. This study sought to analyze the determinants of turnover intention, such as job insecurity, organizational commitment, and job satisfaction. The objects of this study were newcomer lecturers of private Islamic universities in East Java Province, Indonesia. To analyze the relationship among independent variables and dependent variable; this study employed a correlation path model. To build the structural formulation of the correlation path model, this study used the variance-based Structural Equation Modeling (SEM) as a Partial Least Square (PLS) analysis. The study found that job insecurity influenced job satisfaction and organizational commitment. Moreover, job satisfaction and organizational commitment had positive impacts on the turnover intention. In contrast, job insecurity did not have a direct significant impact on the turnover intention, but it had indirect effect that influences job satisfaction and organizational commitment.

Conceptualizing Protective Family Context and Its effect on Substance Use: Comparisons Across Diverse Ethnic-Racial Youth

2019 ◽  
Author(s):  
Kevin Constante ◽  
Edward Huntley ◽  
Emma Schillinger ◽  
Christine Wagner ◽  
Daniel Keating
Keyword(s):  
Substance Use ◽  
Measurement Invariance ◽  
Latent Variables ◽  
Latent Variable ◽  
Path Model ◽  
Family Context ◽  
Partial Metric ◽  
Racial Groups ◽  
Protective Methods ◽  
Family Variables

Background: Although family behaviors are known to be important for buffering youth against substance use, research in this area often evaluates a particular type of family interaction and how it shapes adolescents’ behaviors, when it is likely that youth experience the co-occurrence of multiple types of family behaviors that may be protective. Methods: The current study (N = 1716, 10th and 12th graders, 55% female) examined associations between protective family context, a latent variable comprised of five different measures of family behaviors, and past 12 months substance use: alcohol, cigarettes, marijuana, and e-cigarettes. Results: A multi-group measurement invariance assessment supported protective family context as a coherent latent construct with partial (metric) measurement invariance among Black, Latinx, and White youth. A multi-group path model indicated that protective family context was significantly associated with less substance use for all youth, but of varying magnitudes across ethnic-racial groups. Conclusion: These results emphasize the importance of evaluating psychometric properties of family-relevant latent variables on the basis of group membership in order to draw appropriate inferences on how such family variables relate to substance use among diverse samples.

Using CSR Disclosure Quality to Develop Social Resilience to Exogenous Shocks: A Test of Investor Perceptions

2015 ◽  
Vol 27 (2) ◽  
pp. 155-177 ◽  
Author(s):  
Kimberly A. Zahller ◽  
Vicky Arnold ◽  
Robin W. Roberts
Keyword(s):  
Strong Support ◽  
Management Control ◽  
Path Model ◽  
Organizational Legitimacy ◽  
Social Resilience ◽  
Exogenous Shock ◽  
Nonprofessional Investors ◽  
Exogenous Shocks ◽  
Csr Disclosure ◽  
Corporate Social

ABSTRACT Our overarching purpose is to propose and test a theory of social resilience to exogenous shocks. The theory posits that high-quality corporate social responsibility (CSR) disclosure promotes the perception of organizational legitimacy, creating social resilience to exogenous shocks (external events outside management control). Using a path model and data from 100 experienced, nonprofessional investors, we examine whether the quality of a corporation's voluntary CSR disclosure increases its perceived organizational legitimacy and if increases in perceived legitimacy help insulate that organization from negative investor reactions following an exogenous shock. The results provide strong support for the model and show that when CSR disclosures are higher quality, investors perceive organizational legitimacy to be higher, inferring that organizations should emphasize quantifiable, consistent, and comparable reporting. Further, the results indicate that higher levels of perceived organizational legitimacy are associated with greater levels of organizational resilience to an intra-industry exogenous shock.

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