Manufacturing Operations
Qualitative Data Analysis Using Strutural Equation Modeling (Smart PLS)
Duration (Days)
2
Overview
This course is designed for researcher to learn how to conduct research studies using the latest data techniques which is an important skills needed by academicians and practitioners. This training aims to provide an introduction to data analysis approaches applied for data collection, analysis and interpretation. Through introducing Structural Equation Modeling (SEM), the program seeks to educate participants on how to test and develop theories and investigate various business and organizational-related problems by modeling latent variables.
Objectives
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Demonstrate an understanding of Structural Equation Modeling
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Construct and analyze complex structural models
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Perform PLS Algorithm and Bootstrapping to assess measurement and structural models
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Test hypotheses using SEM
Course Outline
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Introduction of structural equation modelling āØ
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Why SmartPLS: reasons, advantages and justification āØ
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Preparation prelimanry decisions āØ
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Understanding reflective and formative measures āØ
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Using SmartPLS: hands-on āØ
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Two stage approach āØ
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Assessing measurement model (convergent validity, factor loadings, composite reliability, collinearity, discriminant validity)
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āØAssessing structural model (bootstrapping and blindfolding, assessing R-square, assessing effect size, assessing Q-square)
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Moderator analysis āØ
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Mediator analysis āØ
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Decisions on hypotheses āØ
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Reporting results