partial least squares structural equation modelling
Project Cost Overrun Management in Universities Using Partial Least Squares-Structural Equation Modelling
... improper project preparation, resource planning, interpretation of requirements, works definition, timeliness, Government bureaucracy and risk allocation as having been significant contributors to overrun and also on ...
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Mediation Effects of Firm Leverage in Malaysia: Partial Least Squares –Structural Equation Modelling (PLS-SEM)
... the partial least squares - structural equation modeling that capable of providing a greater understanding of the prediction for the construct relationship among each other with ...
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Assessing the Partial Least Squares Structural Equation Modelling Causal Relationship between Input and Output of Energy Generation Model
... the structural model and its relationship was analysed in the second stage to determine the causal relationship between latent variables as indicated in the research ...the structural model; (ii) ...
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Assessing the Relationship between Program Education Objectives and Program Learning Outcomes in Outcome Based Education Using Partial Least Squares Structural Equation Model
... using Partial Least Squares-Structural Equation Model (PLS-SEM) approach as the sample size was too small to utilize Structural Equation Modelling-Analysis of ...
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Kernel Partial Least Squares for Stationary Data
... kernel partial least squares algorithm for non-parametric regression with stationary dependent ...kernel partial least squares estimator to the true regression function are ...
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Rapid detection of total nitrogen content in soy sauce using NIR spectroscopy
... best modelling parameters in each PLS model and the most ideal one overall were ...of modelling methods and the predic- tion ability of the corresponding models to present accurate results with low ...
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“Data Mining techniques differentiation between NPPLS and PLS”
... The COL is a highly ill-conditioned data set. The best model for this data set is the Partial Least Squares (PLS), built with two factors. Among all the models that are below the condition number of ...
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Partial Least Squares in Constructing Candidates Model Averaging Muhammad Arna Ramadhan, Bagus Sartono, Anang Kurnia
... One problem that often found in regression analysis is when number of observations is smaller than number of explanatory variables. This condition leads to multicollinearity among matrix , which also leads to singular ...
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Predicting bruise susceptibility in apples using Vis/SWNIR technique combined with ensemble learning
... i.e. partial least squares model (PLS), partial least squares model combined with successful projection algorithm (SPA-PLS), and selective ensemble learning based on feature ...
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Variation in the chemical composition of wheat straw: the role of tissue ratio and composition
... develop partial least squares (PLS) models for predicting carbohydrates, ash and extractives in two cultivars of wheat and triticale, and used a similar technique to measure lignin in wheat ...
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A framework for power analysis using a structural equation modelling procedure
... The simplest example of this is in the case of the correla- tion (Figure 1). Using data from a recent study (Wolfradt, Hempel and Miles [12]), I calculate the correlation between active coping and passive coping. I find ...
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Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space
... Classical PCR, PLS and RR techniques are well known shrinkage estimators designed to deal with multicollinearity (see, e.g., Frank and Friedman, 1993, Montgomery and Peck, 1992, Jolliffe, 1986). The multicollinearity or ...
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Impact of Barriers on Eco-efficiency in Kerala Automobiles Limited using Partial Least Squares Modelling Technique
... HR, Technology & Management barriers were found to be the impeding factors affecting eco- efficiency in Kerala Automobiles Limited. Based on PLS model, it was [r] ...
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Extended Locality Preserving Partial Least Squares with Class Information
... The PLS method in its traditional form does not consider the local information of data. To tackle this problem, a new dimension reduc- tion method called Locality preserving partial least squares ...
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Complexity and Uncertainty regarding Superannuation Do Not Explain Key Decisions Taken by Members
... The majority (84%) of our sample respondents hold a bachelor degree or above; specifically, 32% hold a PhD, 31% hold a bachelor degree, and 21% hold a Masters degree. About three-quarters of our respondents work ...
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Evaluating Influence Of Artificial Intelligence On Human Resource Management Using PLS-SEM (Partial Least Squares-Structural Equation Modeling)
... It will easily screen resumes from a large pool of applicants and find the right candidate at the right time and reject the ones which are unsuitable (Malvarez, et al., 2014) 8 . Intelligent Screening Software powered by ...
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Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling
... Partial least squares structural equation modeling (PLS-SEM) has become a key method in international marketing research. Users of PLS-SEM have, however, largely overlooked the issue of ...
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Forecasting Economic Cycle with a Structural Equation Model: Evidence from Thailand
... a partial least squares structural equation modeling (PLS-SEM) evaluating the relationship among composite leading indices (CLIs) to forecast the economic cycle (EC) instead of using ...
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Adoption of knowledge management systems (KMS) in Universiti Teknologi Malaysia
... (2013) An Empirical Study of Factors Influencing the Use of Knowledge Management Systems in A Public Sector Organization. Gaskin, "Partial least squares (PLS) Structural Equation Mo[r] ...
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INVESTIGATING THE LINK BETWEEN TRANSFORMATIONAL LEADERSHIP, PSYCHOLOGICAL EMPOWERMENT, AFFECTIVE COMMITMENT AND ORGANIZATIONAL CITIZENSHIP BEHAVIOR IN THE PHARMACEUTICAL SECTOR OF INDONESIA
... Structural Equation Modelling and Partial Least Square: Structural equation modelling (SEM) is a multivariate analysis technique to test theoretical model that ...
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