Partial Least Square (Path Modelling)
Partial Least Square Model in Community Education Management
... developing. The objective of this study is to examine local resources that the Community Learning Center (Pusat Kegiatan Belajar Masyarakat or PKBM) can benefit from; this is to improve the competitiveness of such ...
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Partial Least Square Approach to Second Order Factor in Behavioural Study of Accounting Information System
... As partial least square (PLS) gains its tractions in theory development, behavioural accounting discipline in general should exploit the flexibility of PLS to work with the higher-order ...
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Partial Least Square Path analysis of knowledge, Attitude and Practice Regarding Dengue
... Introduction: Knowledge, attitude and practices regarding dengue are latent variables which are substantiated through manifest variables. The manifest variables that form the indicative construct of knowledge, attitude ...
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Model Behavior Development of User Transportation With Partial Least Square (PLS) In Semarang Indonesia
... Testing models of behavior analysis performed with the approach of Structural Equation Model (SEM) is by using software Partial Least Square (PLS). PLS is a structural equation model (SEM) based ...
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Temperature and Humidity Forecast via Univariate Partial Least Square and Principal Component Analysis
... Univariate Partial Least Square (PLS) as Model Output Statistics (MOS) for temperature and humidity ...Mean Square Error of Prediction (RMSEP) are considered to be good and ...
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COMPETITIVE STRATEGY AND ITS IMPACT ON HOTEL PERFORMANCE: A PARTIAL LEAST SQUARE APPROACH ON HOTEL MANAGERS IN BALI, INDONESIA
... The hypotheses was examined by using analytical tools PLS (Partial Least Square) version 2.0 M3. Stratified purposive sampling was used to select 117 hotel managers. Questionnaires were spread to the ...
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Particle swarm optimized partial least square support vector regression model for tax revenue prediction
... The partial least square support vector regression ( PLS − SVR ) through particle swarm algorithm, then using partial least squares support vector regression to forecast the tax revenue ...
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A PARAMETRIC APPROACH TO PARTIAL LEAST SQUARE STRUCTURAL EQUATION MODELING OF MULTIGROUP ANALYSIS (PLS-MGA)
... In behavioral research, multi-group analysis has been prominent among scholars to advance their statistical methodology conformity to their main objective provided. Nevertheless, researchers nowadays interest to stress ...
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The Moderating Role of Government Policies on the Relationship between Technology, Innovation and Entrepreneurship Development in Nigeria: A Partial Least Square Approach
... Abstract Given the economic realities in Nigeria, the country must constantly create new jobs, and diversify the industrial and commercial sector to take advantage of human and natural resources through entrepreneurship ...
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A Study on Rapid Non-destructive Detection of Eugenol in Caryophylli Flos by NIR Spectroscopy and Partial Least Square
... A method for rapid non-destructive detection of eugenol in caryophylli flos was developed with near-infrared spectroscopy and chemometrics. One hundred and three samples were collected, and gas chromatography with ...
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Partial Least Square – Structural Equation Model for Effect of Employee Engagement on Job Satisfaction and Job Performance in Automobile Industries
... The partial least square Structural Equation modeling is carried out in SMART PLS 3 software. The formulated structural equation model is given in the figure 1. Bootstrapping with complete ...
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TRUST IN FINANCIAL MOBILE APPS – A PARTIAL LEAST SQUARE REGRESSION APPROACH
... After demonetisation, Government of India and private companies are trying to encourage cashless transactions through financial mobile apps. The major financial mobile apps include BHIM promoted by National Payments ...
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Partial least square regression applied to the QTLMAS 2010 dataset
... Figure 1 shows the smoothed curve of the negative loga- rithm of the significances in the single marker analyses. QTL for the continuous trait were located on chromo- somes 1 and 3 with smaller QTL on all chromosomes. ...
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Vegetation Water Content Prediction: Towards More Relevant Explicatory Waveband Variables
... Assessing vegetation water content (VWC) from hyperspectral reflectance dataset poses two foremost questions: what specific wavebands of the SWIR offer a good retrieval and what modeling methods have the best predictive ...
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Application of FTIR spectroscopy and multivariate calibration for analysis of curcuminoid in syrup formulation
... namely partial least square (PLS) and principle component regression (PCR) were used for modelling the correlation between actual values of CUR and DMC in syrup samples containing Curcuma extract ...
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Advanced QSRR Modeling of Organic Pollutants in Natural Water and Wastewater in Gas Chromatography Time-of-Flight Mass Spectrometry
... algorithm-partial least square (GA-PLS), Kernel partial least square (GA-KPLS) and Levenberg-Marquardt artificial neural network (L-M ANN) techniques were used to investigate the ...
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The application of FTIR spectroscopy and chemometrics for classification of Mangosteen extract and its correlation with alpha-mangostin
... Alpha-mangostin is the major component in Mangosteen (Garcinia mangostana Linn) pericarp having several pharmacological activities including reducing blood pressure, antidiabetic, anticancer, and antioxidants. The ...
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1H NMR- based metabolomics approaches as non- invasive tools for diagnosis of endometriosis
... Materials and Methods: This prospective cohort study was done in Pasteur Institute, Iran in June 2013. Serum samples of 31 infertile women with endometriosis (stage II and III) who confirmed by diagnostic laparoscopy and ...
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SELF-CONTROL, FINANCIAL LITERACY, AND SAVING BEHAVIOR IN THE COMMUNITY
... The saving behavior in the community is relatively low due to lack of self-control attitude and understanding of financial literacy. This research aims to find out the effect of self-control through financial literacy on ...
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Fourier-transform infrared spectroscopy combined with chemometrics for detection of pork in beef meatball formulation
... Objective: This research focused to analyze the pork content in beef meatball. Pork analysis in beef meatball using Fourier-transform infrared (FTIR) spectroscopy combined with chemometrics. Methods: Beef meatball and ...
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