Structural Equations and the Identification Problem

2018 ◽  
pp. 141-158
Author(s):  
Brian Haines
Keyword(s):  
Identification Problem ◽  
Structural Equations

scholarly journals Assessing the Global and Local Uncertainty of Scientific Evidence in the Presence of Model Misspecification

2021 ◽  
Vol 9 ◽  
Author(s):  
Mark L. Taper ◽  
Subhash R. Lele ◽  
José M. Ponciano ◽  
Brian Dennis ◽  
Christopher L. Jerde
Keyword(s):  
Reference Model ◽  
Scientific Evidence ◽  
Model Misspecification ◽  
Parametric Bootstrap ◽  
Identification Problem ◽  
Structural Equations ◽  
Sampling Distribution ◽  
Standard Theory ◽  
Strength Of Evidence ◽  
Global And Local

Scientists need to compare the support for models based on observed phenomena. The main goal of the evidential paradigm is to quantify the strength of evidence in the data for a reference model relative to an alternative model. This is done via an evidence function, such as ΔSIC, an estimator of the sample size scaled difference of divergences between the generating mechanism and the competing models. To use evidence, either for decision making or as a guide to the accumulation of knowledge, an understanding of the uncertainty in the evidence is needed. This uncertainty is well characterized by the standard statistical theory of estimation. Unfortunately, the standard theory breaks down if the models are misspecified, as is commonly the case in scientific studies. We develop non-parametric bootstrap methodologies for estimating the sampling distribution of the evidence estimator under model misspecification. This sampling distribution allows us to determine how secure we are in our evidential statement. We characterize this uncertainty in the strength of evidence with two different types of confidence intervals, which we term “global” and “local.” We discuss how evidence uncertainty can be used to improve scientific inference and illustrate this with a reanalysis of the model identification problem in a prominent landscape ecology study using structural equations.

Challenge Demands, Hindrance Demands, and Psychological Need Satisfaction

2015 ◽  
Vol 14 (2) ◽  
pp. 70-79 ◽  
Author(s):  
Simon L. Albrecht
Keyword(s):  
Work Engagement ◽  
Job Demands ◽  
Self Determination Theory ◽  
Structural Equations ◽  
Need Satisfaction ◽  
Self Determination ◽  
Job Resources ◽  
Mediating Effects ◽  
Psychological Need ◽  
Practical Implications

The job demands-resources (JD-R) model provides a well-validated account of how job resources and job demands influence work engagement, burnout, and their constituent dimensions. The present study aimed to extend previous research by including challenge demands not widely examined in the context of the JD-R. Furthermore, and extending self-determination theory, the research also aimed to investigate the potential mediating effects that employees’ need satisfaction as regards their need for autonomy, need for belongingness, need for competence, and need for achievement, as components of a higher order needs construct, may have on the relationships between job demands and engagement. Structural equations modeling across two independent samples generally supported the proposed relationships. Further research opportunities, practical implications, and study limitations are discussed.

Structuring Structural Equations Modeling

2003 ◽  
Vol 48 (5) ◽  
pp. 680-683 ◽  
Author(s):  
Alexander von Eye
Keyword(s):  
Structural Equations ◽  
Structural Equations Modeling

Corporate governance and business ethics: Evidence from a sample of Algerian corporations

2020 ◽  
Vol 4 (1) ◽  
pp. 15-29
Author(s):  
Nour El Houda Yahiaoui ◽  
Abdelmadjid Ezzine
Keyword(s):  
Corporate Governance ◽  
Business Ethics ◽  
Structural Model ◽  
Structural Equations ◽  
Path Modeling ◽  
Senior Managers ◽  
Corporate Scandals ◽  
Governance Systems ◽  
Sustainable Value ◽  
Governance Practices

Corporate governance systems are developed to govern corporations, build trust and create sustainable value for all stakeholders. Paradoxically, in spite of massive efforts in developing governance systems, corporate scandals are persisting. Different studies have strongly recommended business ethics as a solution to this paradox. Thus, this study explores if business ethics supports corporate governance practices in a sample of Algerian corporations. The study used a mixed methodology; qualitative: since this subject is poorly addressed in the Algerian context that requires an exploratory study. Quantitative by developing a structural model demonstrating the relationship between business ethics and corporate governance, Data for the study were collected by means of a questionnaire distributed on an anonymous basis to corporations’ senior managers in Sidi Bel Abbes district. Treatment of collected data is done using two types of analysis: the structural equations modeling approach by using the PLS Path approach (PLS Path Modeling) and linear regression. The study finds out that business ethics leads to better levels of corporate governance and supports its practices; and the reason is mainly due to an implicit involuntary commitment to laws as a minimum required level of compliance, and that the protection of stakeholders’ rights are the most important corporate governance’s dimension affected by business ethics.

ON THE USE OF PARTIALLY LINEAR MODEL IN IDENTIFICATION OF ARCING-FAULT LOCATION ON OVERHEAD HIGH-VOLTAGE TRANSMISSION LINES

2004 ◽  
Vol 14 (06) ◽  
pp. 1975-1985
Author(s):  
RASTKO ŽIVANOVIĆ
Keyword(s):  
Linear Model ◽  
Dynamic Behavior ◽  
Nonlinear System Identification ◽  
Identification Problem ◽  
Parametric Modeling ◽  
Partially Linear Model ◽  
Practical Reasons ◽  
Partially Linear ◽  
Pull Out ◽  
Arcing Fault

The task of locating an arcing-fault on overhead line using sampled measurements obtained at a single line terminal could be classified as a practical nonlinear system identification problem. The practical reasons impose the requirement that the solution should be with maximum possible precision. Dynamic behavior of an arc in open air is influenced by the environmental conditions that are changing randomly, and therefore the useful practically application of parametric modeling is out of question. The requirement to identify only one parameter is yet another specific of this problem. The parameter we need is the one that linearly correlates the voltage samples with the current derivative samples (inductance). The correlation between the voltage samples and the current samples depends on the unpredictable arc dynamic behavior. Therefore this correlation is reconstructed using nonparametric regression. A partially linear model combines both, parametric and nonparametric parts in one model. The fit of this model is noniterative, and provides an efficient way to identify (pull out) a single linear correlation from the nonlinear time series.

Does sustainable consumption make consumers happy?

2021 ◽  
pp. 147078532110304
Author(s):  
Encarnación Ramos-Hidalgo ◽  
Rosalia Diaz-Carrion ◽  
Carlos Rodríguez-Rad
Keyword(s):  
Ethical Behavior ◽  
Unethical Behavior ◽  
Positive Attitude ◽  
Positive Relationship ◽  
Sustainable Consumption ◽  
Structural Equations ◽  
Ethical Consumption ◽  
Theory And Practice ◽  
Sustainable Behavior ◽  
The Relationship

The importance of ethical behavior in consumers has never been so evident, and in recent years, researchers have generated a great deal of knowledge about ethical consumption. The search for happiness in consumption has been a recurrent line of research by academics of the management and, mainly, the marketing fields. Our study analyses the relationship between ethical and sustainable behavior in consumption and the achievement of consumer happiness. Employing structural equations, the findings of the study suggest that there is a positive relationship between consumers’ predisposition toward sustainable behavior and happiness. In addition, the findings indicate that, when there are reasons to justify unethical behavior in consumption, the consumer also manages to be happier. Important implications for theory and practice are derived from the results. Emphasizing the benefits of sustainable consumption for enhancing happiness might instigate sustainable consumption, especially in the case of those consumers who do not have a positive attitude toward sustainable consumption.

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