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Statistical Modelling Special Topic: SEM

Relationship Analysis Awareness on the fact that some relationships / models are

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Statistical Modelling Special Topic: SEM

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    1. Statistical Modelling (Special Topic: SEM) Bidin Yatim, PhD Associate Professor in Statistics College of Art and Science UUM. Phd Applied Statistics (Exeter, UK) MSc Industrial Maths (Aston,UK) BSc Maths & Stats (Nottingham, UK)

    2. Relationship Analysis Awareness on the fact that some relationships / models are ‘meaningful’ and some are not. Meaningful relationships / models normally have theoretical basis (underlying theory) and exhibit ‘causality’ or ‘cause-and-effect’ For those ‘cause-and-effect’ relationships, SEM provides a formal way of analysing them Main Focus

    3. Agenda Part I: SEM the Basic SEM Nomenclature / Terminologies SEM & related Models Part II: Modeling and Computing how to draw a model using AMOS. how to run the AMOS model and evaluate several key components of the AMOS graphics and text output, including overall model fit and test statistics for individual path coefficients. how to modify and respecify a non-fitting model. Part III: SEM and Its Applications

    4. Part One SEM: The Basic http://58.26.137.12/byatim/

    5. An overview SEM: References www.statsoft.com/textbook/stsepath.html Chapter 1 of Structural Equation Modeling with AMOS. Basic Concepts, Applications and Programming Barbara M. Bryne

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