777444


Course
CANCELLED - Introduction to Structural Equation Modeling (SEM)

Faculty

Professor Bo Bernhard Nielsen & Professor Sabina Nielsen


Course Coordinator
Professor Bo Bernhard Nielsen

Prerequisites

PhD enrollment – open to all faculty

The course requires basic understanding of statistics, but does not require knowledge of structural equation modeling or any particular SEM software.


Aim

This course is designed to help participants understand the theoretical basis and practical application of structural equation modeling. More specifically, we will address the following issues:

1.  What is structural equation modeling and what types of research questions can it help answer?

2. Theoretical understanding of measurement models and structural models.  

3. Conducting basic SEM analysis.

4. Reading SEM output and providing guidelines for reporting SEM results. 

5. Analysis of interaction effects with continuous and categorical variables.

6. Latent growth modeling and overview of more advanced analyses.

The course is a combination of theory and lab sessions using MPLUS software.


Course content

N/A


Teaching style

Lectures and interactive lab-sessions


Lecture plan

Day 1: Foundations (9:30-16:30)

9:30-11:00   Basic concepts

11:00-11:15   Coffee break

11:15-12:00   Introduction to SEM & Steps of SEM

12:00-12:45   Lunch break

12:45-13:30 Introduction to MPLUS

13:30-13:45   Bio break

13:45-16:30 MPLUS Basic commands

 

Day 2: Measurement models (9:30-16:30)

9:30-11:00  Specification & identification of measurement models

11:00-11:15  Coffee break

11:15-12:00  Estimation of measurement models

12:00-12:45  Lunch break

12:45-13:30  Re-specification of measurement models

13:30-13:45  Bio break

13:45-16:30  Measurement models in practice

 

Day 3: Structural models (9:30-16:30)

9:30-11:00   Structural models I

11:00-11:15  Coffee break

11:15-12:00  Structural models II

12:00-12:45  Lunch break

12:45-13:30  Structural models in practice

13:30-13:45  Bio break

13:45-16:30 Alternative structural models

 

Day 4: Moderation & Reporting (9:30-16:30)

9:30-11:00  Multiple group analysis

11:00-11:15  Coffee break

11:15-12:00  Interaction effects

12:00-12:45  Lunch break

12:45-13:30  Reporting I

13:30-13:45  Bio break

13:45-16:30  Reporting II

 

Day 5: Advanced Analyses (9:30-16:30)

9:30-11:00 Latent growth models

11:00-11:15 Coffee break

11:15-12:00 Second-order factors

12:00-12:45 Lunch break

12:45-13:30 Other advanced analyses

13:30-13:45 Bio break

13:45-16:30 Wrap-up & evaluations


Learning objectives

N/A


Exam

Course certificates will be issued based on participation and passing final exam.

The exam is based on ongoing assignments in class. Students are asked to summarize the learnings from the first four days and write a final paper (10 pages) discussing advantages/disadvantages of the SEM method, applicability in their research project, and implications for generalization of findings. The paper should also include a measurement and structural model as well as reflections upon use of reflective versus formative measures and how to deal with measurement errors and missing data.

The final paper is graded pass/fail.


Other

Start date
13/07/2015

End date
17/07/2015

Level
PhD

ECTS
7,5

Language
English

Course Literature
Main texts:Rex B. Kline (2010). Principles and practices of structural equation modeling, 3d edition, New York: Guilford Press.Barbara M Byrne (2011). Structural Equation Modeling with Mplus, Basic concepts, applications, and programming, Lawrence Erlbaum Associates.Articles:Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182. Anderson, J. C. and Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103: 411-423.McCallum, R. C., Roznowski M. & Necowitz L.B. (1992). Model modifications in covariance structure analysis: the problem of capitalization on chance. Psychological Bulletin. 111:490–504.

Fee
9,750

Minimum number of participants

Maximum number of participants
0

Location

Copenhagen Business School
Room: TBA


Contact information

Bente S. Ramovic
Email: bsr.research@cbs.dk
Tel.: +45 3815 3138


Registration deadline

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