Stractural Equation Modelling Workshop

The University of Adelaide

A practical workshop on Structural Equation Modelling delivered by Dr Murthy N Mittinty, School of Public Health, The University of Adelaide

National Wine Centre of Australia

<h1>A practical workshop on Structural Equation Modelling</h1><p><strong>Delivered by Dr Murthy N Mittinty, School of Public Health, The University of Adelaide.</strong></p><p><strong>Cost:</strong> $400 or $300 for student/concession. University of Adelaide Staff and Students will be billed separately.</p><h1>Objectives of the workshop</h1><ol><li>Conceptualise the research question into a diagrammatic model, and then into the mathematical model which allows you to estimate the parameter of interest.</li><li>Learn to create summary variables.</li><li>Learn to incorporate the summary variables into the analysis model.</li><li>Understand the time order of the presence of variables and study the concept of mediation and moderation.</li><li>Understand how the SEM technique allows you to handle the concept of measurement error.</li><li>Understand how the SEM technique allows you to handle the concept of missing data.</li></ol><p></p><h2>Intended Audience</h2><p>Anyone with basic understanding of linear regression analysis. Especially PhD students, Researchers, and Educators using observational data.</p><p></p><h1>Topics covered</h1><p>Simultaneous equations, Linear combination of indicators to create summaries, Factor analysis, Definition of Structural Equation Models (SEM), Types of SEM, Benefits of SEM, Drawbacks of SEM, Steps in Structural Equation Modelling, Model specification, Identification, Estimation and evaluation, Parameter testing, Practical issues to consider when implementing SEM, Review questions, Some examples using SPSS and Amos.</p><p></p><h1>Prerequisites</h1><p>Participants are required to bring a laptop with SPSS &amp; Amos installed (available for University of Adelaide staff and students via ADAPT or from ITDS).</p><p>Maximum number of attendees: 20. Participants are required to have their own computer.</p><p></p><h1>Outline of the program</h1><h2>Day 1</h2><p><strong>Time	Event</strong></p><p>8.30-9.00	Registration</p><p>9.10-9.50	Some basic mathematical concepts, simultaneous equations, issues in working with observational data and concept of data reduction.</p><p>10.00-10.30	Break</p><p>10.35-12.00	Definition of SEM, Types of SEM, Benefits of SEM, Drawbacks of SEM, Steps in Structural Equation Modelling</p><p>12.00-1.00	Lunch Break</p><p>1.10-2.00	Steps in Structural Equation Modelling</p><p>2.10-2.20	Break</p><p>2.20-3.10	Practical general</p><p>3.10-3.30	Tea break</p><p>3.35-4.30	Practical application to your field</p><p></p><h2>Day 2</h2><p><strong>Time	Event</strong></p><p>9.30-10.30	Model Specification, Identification</p><p>10.30-11.00	Break</p><p>11.10-12.30	Estimation and Evaluation</p><p>12.30-1.30	Lunch Break</p><p>1.30-3.00	Practical with SPSS</p><p>3.00-3.30	Tea Break</p><p>3.30-5.00	Parameter testing and practical issues to consider when implementing SEM</p><p></p>

Stractural Equation Modelling Workshop

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Stractural Equation Modelling Workshop

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