SEM PPT

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© 2012

Transcript of SEM PPT

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© 2012

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Asia UniversityCollege of Management

Department of Business Administration

Quantitative Research MethodStructural Equation Modeling

Instructor : Professor Massoud Moslehpour

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Structural Equation Modeling (SEM)

Chapter 14Pages: 247-260Vogt, W. P. (2007). Quantitative Reserah Methods for Professionals. Boston, MA: Pearson.

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Structural Equation Modeling (SEM)

1. What is a model, and how can one be built?2. How is factor analysis incorporated into the model?3. How are the results of a full meauserement and structural

model?4. How can what has been learned be used to interpret actual

research results ?5. How is SEM used in causel inference?

Objective of this presentationWe will be able to develop a research model and test our hypotheses through Structural Equation Modeling.

SCENE

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Structural Equation ModelingKeywords

Causal modelingModel TestingConfirmatory factor analysis

(CFA)Path analysisStructureStructural ModelMeasurement modelPath coefficients

Latent VariablesMeasured variablesFactor loadingsCorelation matrixCovariance matrixMaximum likelihood estimation

(MLE)Goodness of fitEndogenous construtcs (Dependent)Exogenous constructs (Independent)

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Structural Equation Modeling

What is Structural Equation Modeling (SEM) ?

SEM is a regression analysis for measuring the relations among variables

SEM provides analysis of

Confirmatory Factor Analysis

Structural Model

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Structural Equation Modeling

1. What is a model, and how can one be built?

A model is a representation of a theory.

Theory is a systematic set of relationships.

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Structural Equation Modeling

2. How is factor analysis incorporated into the model?

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Structural Equation Modeling

3. How are the results of a full meauserement and structural model?

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Structural Equation Modeling

4. How can what has been learned be used to interpret actual research results ?

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Structural Equation Modeling

5. How is SEM used in causel inference?

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Structural Equation Modeling

LET’S DO TOGETHER TO SEE A REAL EXAMPLE... Generally, master thesis consists of 5 chapters

Chapter I: Introduction

Chapter II: Literature Review

Chapter III: Research Methodology

Chapter IV: Result

Chapter V: Discussion and Conclusions

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Structural Equation Modeling

1. Choosing a study topic... Explorotary or ? We can find the topic in Journal papers (generally, inside of future study directions or e.g., conclusions, or limitations) Asia University, Library website for example: www.proquest.com or www.googlescholar.com

2. We need to determine objective...

3. We need to develope hypotheses... (e.g., literature review)

4. Methodology... (quantitative, qualitatitve) if quantitative which method e.g. SEM?

5. Interpration of the result for conclsions and implications...

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Structural Equation Modeling

For example,

1.We chosed a topic which we really like. We are doing a study on tourism destination brand equity.

2.Our objective is to provide a new tourism destination brand equity conceptual model in marketing literature.

3.We have already reviewed the literature and developed our hypotheses.

4.We have 5 constructs (e.g., variables or called latent variables in SEM).

5.We have found that SEM is the best way and provide us powerful analysis technique. Because SEM provides us to see the relationship of all 5 constructs.

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Structural Equation Modeling

We will be conducting confirmatory factor analysis (CFA) and structural model...

CFA is to see measurement variables are systematic and logical ?

Structural model is to see set of one or more dependence relationships linking the hypothesized model’s constructs...

LETS DO IT... together

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Structural Equation Modeling

Software Program ?

AMOS, LISREL

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THANK YOU VERY MUCH!!!

A person who never made a mistake never tried anything new.

Albert Einstein

Retrieved fromhttp://www.brainyquote.com/quotes/authors/a/albert_einstein.html

Learn from yesterday, live for today, hope for tomorrow. The important thing is not to stop

questioning.Albrt Einstein

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References

Vogt, W. P. (2007). Quantitative Reserah Methods for Professionals. Boston, MA: Pearson.