Essentials of SmartPLS 4 – For Research and Data Analysis

Learn Structural Equation Modelling and Path Analysis using SmartPLS 4 from Scratch
What you'll learn
To introduce the basic concepts related to Multivariate Analysis and SEM.
To illustrate the basic applications of SEM in Research using SmartPLS 4.
To illustrate the procedure for preparing and creating data file using SPSS.
To provide hands on training of applying SEM using valid data set and reporting results.
Requirements
Basic knowledge of multivariate techniques such as factor analysis and multiple regression.
Description
PLS-SEM is a composite-based approach to SEM that aims at maximizing the explained variance of dependent constructs in the path model. Researchers and practitioners use PLS-SEM, especially when they conduct studies on success factors and the sources of competitive advantage.Compared to other SEM techniques, PLS-SEM allows researchers to estimate very complex models with many constructs and indicator variables. Furthermore, PLS-SEM allows for estimating reflective and formative constructs and generally offers much flexibility in terms of data requirements. The goal of PLS-SEM is the explanation of variances (prediction-oriented character of the methodology) rather than explaining covariances (theory testing via covariance-based SEM, CB-SEM). The application of the PLS-SEM method is of high interest if the assumptions of CB-SEM are violated and the proposed cause-and-effect relationships are not sufficiently explored. The course will include the following aspects:Why is data analysis required?Basic concepts related to SEMData analysis using SPSS and SmartPLSMeasurement model analysisStructural model analysisMediator/Moderator analysisAdvanced issues in SmartPLSExplanation in APA styleReal exercise from Fiverr projectsGetting started with Fiverr gigsTips and tricks and many moreThe course features include but are not limited to:Competitive edge for pursuing PhD and Master'sRequired tool for scholarly publicationHigh acceptance rate by top business journalsEasy explanation of the statistical analysisFocus on both theory and practiceBecome a global data analyst and freelancerExcellent carrier opportunityHuge demand in local and global marketsSoftware package: SmartPLS 4, SPSS 25.0Who should attend?Research scholars, faculty members, university students, and individuals who are engaged in or interested in contemporary statistical techniquesPrerequisite: Basic knowledge of multivariate techniques such as factor analysis and multiple regression.Thanks and RegardsShahedul HasanResearch Assistant and Independent ResearcherBBA and MBA, University of DhakaEx-Lecturer, East Delta UniversityData Analysis Instructor, Instructory and UdemyData Analyst & Freelancer, Fiverr
Who this course is for
Research Scholars
Faculty Members
University Students
PhD Researchers
Freelancing
Homepage

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