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Introduction to Structural Equation Modeling using Mplus Utrecht Summer School

5 days
Duration
895 EUR/full
895 EUR/full
Unknown
Tuition fee
Unknown
Apply date
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Start date

About

Introduction to Structural Equation Modeling using Mplus Advanced Master from Utrecht Summer School introduces the fundamentals of structural equation modeling (SEM) models (e.g, path models, confirmatory factor analysis, longitudinal models, etc.), and teaches how to analyze data in Mplus.

Overview

We offer a five-day course on how to perform basic structural equation modeling (SEM) analyses using Mplus, where you can interact with Mplus experts. No previous knowledge of Mplus is assumed, but prior knowledge of SEM, although not mandatory, will make this course more useful.

Many researchers in the social and behavioral sciences are using, or want to use, SEM to investigate their theories. Mplus is a popular and flexible software package for doing SEM. 

Structure

The course starts with an introduction on how to use Mplus to perform regression analysis and how to ‘communicate’ with Mplus (e.g. how to specify a model, and how to deal with error messages). In the following days, basic models relevant for social scientists will be discussed, including multiple group models, confirmatory factor analysis, and cross-lagged panel models, and important topics such as moderation, mediation and testing for measurement invariance are covered.

Programme Structure

Courses include:

  • Structural Equation Modelling (SEM)

  • Mplus

  • SEM

  • SEM analyses using Mplus.

Key information

Duration

  • Full-time
    • 5 days

Start dates & application deadlines

Language

English

Credits

1 ECTS

1.5 ECTS

Delivered

On Campus

What students do after studying

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Researchers are expected to have a basic knowledge of regression analysis (e.g., know how to perform basic statistical tests such as t-test and how to interpret model parameters, as well as the standard errors and p-values) . These techniques are discussed in most books on multivariate statistics (e.g., Andy Field: Discovering Statistics; Tabachnick and Fidell: Using multivariate statistics).
  • Some knowledge of SEM and software like AMOS, LISREL, Mx or EQS is helpful, but not mandatory. If you have no experience with SEM, please read the following paper: Hox, J. J. & Bechger, T.M. (2007). An introduction to structural equation modelling. Family Science Review, 11, 354-373. Accessible via  https://www.joophox.net/publist/semfamre.pdf
  • No previous knowledge of Mplus is assumed. You also do not need to have any knowledge of matrix algebra, calculus, or likelihood theory. 

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

  • Additional medical costs (i.e. dental)
  • Repatriation, if something happens to you or your family
  • Liability
  • Home contents and baggage
  • Accidents
  • Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Utrecht Summer School and/or in Netherlands, please visit Student Insurance Portal.

Tuition Fee

To always see correct tuition fees
  • International

    895 EUR/full
    Tuition Fee
    Based on the tuition of 895 EUR for the full programme during 5 days.
  • EU/EEA

    895 EUR/full
    Tuition Fee
    Based on the tuition of 895 EUR for the full programme during 5 days.

Living costs for Utrecht

900 - 1450 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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