Structural Equation Modelling using Mplus

Date:

20/04/2015

Organised by:

Falcon Training

Presenter:

Dr Chris Stride

Level:

Entry (no or almost no prior knowledge)

Contact:

Chris Stride
+44 795 2210227
bookings@figureitout.org.uk

Map:

View in Google Maps  (WC1H 0PD)

Venue:

Birkbeck College, 43 Gordon Square, London

Description:

Who is the course aimed at?
This course is aimed at two distinct groups; those seeking a beginners' course in Path Analysis techniques such as Structural Equation Modelling (SEM) and Confirmatory Factor Analysis (CFA); and those with some previous experience of Structural Equation Modelling who wish to learn to use the powerful and elegant MPlus software, which can be employed in an incredibly wide range of model fitting scenarios.

Course level:
A basic knowledge of Exploratory Factor Analysis and the ideas behind multiple regression analysis will be extremely advantageous to participants. No previous knowledge or experience with SEM or Mplus is assumed

Course content and aims:
The course will cover the following topics:

  • Introduction to Path Analysis - what is it and why do we need it?
  • Assessing the fit of a Structural Equation Model
  • Comparing competing Structural Equation Models
  • Preparing and importing data into Mplus from SPSS
  • Getting started with analysis in MPlus - the basics of the language
  • Fitting a simple Confirmatory Factor Analysis in Mplus
  • Fitting a simple Structural Equation Model in Mplus
  • Testing for indirect effects in Structural Equation Models
  • Fitting Structural Equation Models with missing data
  • Including Categorical variables in Structural Equation Models
  • Multiple group analysis

    The course comprises of a mixture of short lectures on the basic theory behind Structural Equation Models, teaching via examples worked through by the trainer on real data sets which participants can follow, and exercises to practice the skills just learned. You will also receive a 80-page coursebook containing all the notes and worked examples, providing an easy reference for the basics of performing SEM in MPLus, and as a reminder for the techniques you have learned.

    Course schedule: The course will start at 9.00am, with a lunch break from 1pm-2pm, and short coffee breaks at 11.00am and 3.30pm. It will finish at around 5.15pm, though I will be willing to stay on for a while after this to answer questions pertinent to participants' own data sets.

    The teacher:
    Dr Chris Stride has been using MPlus in his work as a statistician and data manager for the last 8 years. He has particular experience and expertise in teaching non-statisticians from the fields of psychology, HR, management and the social sciences. Chris is a Chartered Statistician and a member of the ASSESS (UK SPSS Users' Group) Committee; and has run many training courses at the University of Sheffield, for the UK SPSS users group, at national and international conferences, and on an inhouse basis for Universities and the public sector.

    The venue, facilities and directions:
    The course is to be held in room 124 in Birkbeck College's 43 Gordon Square building in central London. It is approximately 10 minutes walk from any of Euston, Kings Cross or St Pancras International stations, and 5 minutes walk from Russell Square tube station.

    Lunch at the nearby Cosmoba Restaurant is included in the course fee.

Cost:

£225 waged / £175 students. Further 50 pound discount for booking multiple courses

Website and registration:

Region:

Greater London

Keywords:

Frameworks for Research and Research Designs, Data Collection, Data Quality and Data Management , Parametric statistics, Regression Methods, Hierarchical models, Confirmatory factor analysis, Structural equation models, Quantitative Approaches (other), Mplus, SPSS, Mplus, SPSS, Mediation, Moderation, Moderated-Mediation, CFA, M-plus, M plus, Path Analysis

Related publications and presentations:

Frameworks for Research and Research Designs
Data Collection
Data Quality and Data Management
Parametric statistics
Regression Methods
Hierarchical models
Confirmatory factor analysis
Structural equation models
Quantitative Approaches (other)
Mplus
SPSS

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