Introduction to Bayesian Analysis using Mplus

Friday 5th January 2018; 9.15am to 5.15pm
LSE (Rosebery Hall), London

This course is promoted by Falcon Training

Who is the course aimed at?
This course is aimed at those with previous knowledge of Mplus who wish to use the software as a way into the world of Bayesian estimation. As such it is an ideal follow on course for individuals or groups who have previously taken our introductory course in Structural Equation Modelling, or as a the second day of a two-day inhouse course, with the first day being the introductory course in Structural Equation Modelling.

Course level:
A basic knowledge of the Mplus language (reading data in, running files, the BY, ON, WITH commands, and the use of @ and ( ) symbols for fixing and naming parameters), and how path analysis models and model improvement are tested e.g. basic fit indices, chi-square tests) is required. It is also highly desirable to have an understanding of basic and intermediate level statistical methods, specifically t-tests, anova, simple linear regression, logistic regression, and CFA, since we will cover using Bayesian estimation in all of these methods. No previous knowledge or experience with Bayesian estimation is assumed.

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

  • What is Bayes theorem and how can it help us?
  • Bayesian estimation vs classical statistics/null hypothesis significance testing
  • Selecting appropriate 'priors'
  • Using Monte Carlo Markov Chains for model fitting
  • Using Bayesian estimation to fit a simple linear regression model in Mplus
  • Using Bayesian estimation to fit a path analysis model in Mplus, including estimating indirect effects
  • Using Bayesian estimation to fit a CFA in Mplus

    The course comprises of a mixture of short lectures on the basic theory behind Bayes theorem, Bayesian estimation, and Monte Carlo Markov Chain (MCMC) methods, 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 Bayesian Estimation 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 12.30pm-1.30pm, 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, SPSS and R in his work as a statistician and data manager for the last 20 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 over 100 public training courses around the world, as well as 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 the Myddleton Room, at LSE's Rosebery Hall, on Rosebery Avenue in the heart of London. It is approximately 10 minutes walk from any of Angel, Old Street, Barbican or Farringdon tube stations, 15 minutes walk from St Pancras or Kings Cross mainline stations, and is served directly by the 19 and 38 buses.

    Lunch at a local restaurant is included in the course fee.

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