Introduction to Structural Equation Modeling (SEM) |
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1124377 |
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Course |
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Introduction to Structural Equation Modeling (SEM) | |||
Faculty |
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Professor Sabina Nielsen | |||
Course coordinator |
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Professor Sabina Nielsen | |||
Prerequisites |
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The course requires basic understanding of statistics, but does not require knowledge of structural equation modeling or any particular SEM software. | |||
Aim |
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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 advanced analyses. |
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Course content |
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10 modules/4 hours each Sessions will run between 9 am -1 pm and 2 -6pm with an hour lunch break |
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Teaching style |
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Lectures and interactive lab-sessions | |||
Lecture plan |
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Module 1 - Intro to SEM Module 2 - Intro to Mplus Module 3 - :Measurement Model 1 Module 4 - Measurement model 2 Module 5 - Structural Model 1 Module 6 - Structural model 2 Module 7 - Multigroup Analysis Module 8 - Latent Growth Models Module 9 - SEM Reporting Module10 - Project work |
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Learning objectives |
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Exam |
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Course certificates will be issued based on participationand completion of project. | |||
Other |
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Start date |
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04/09/2023 | |||
End date |
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08/09/2023 | |||
Level |
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PhD | |||
ECTS |
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7,5 | |||
Language |
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English | |||
Course Literature |
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Main texts: Rex B. Kline (2016). Principles and practices of structural equation modeling, 4thedition, New York: Guilford Press. Barbara M Byrne(2012). 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. ≠cowitz L.B.(1992). Model modifications in covariancestructure analysis: the problem of capitalizationon chance. Psychological Bulletin. 111:490–504. |
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Fee |
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9.750 DKK | |||
Minimum number of participants |
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Maximum number of participants |
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12 | |||
Location |
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Copenhagen Business School 2000 Frederiksberg Room TBA |
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Contact information |
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PhD Coordinator Nina Iversen [email protected] +45 3815 2475 |
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Registration deadline |
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23/07/2023 | |||
In case we receive more registrations for the course than we have place, the registrations will be prioritized in the following order: Students from the CBS, students from other institutions than CBS. Please note that your registration is binding after the registration deadline. |
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